https://puma.ub.uni-stuttgart.de/group/simtech/PerformancePUMA RSS feed for /group/simtech/Performance2026-04-22T07:57:25+02:00https://puma.ub.uni-stuttgart.de/bibtex/23c510e8bf0fc1fd3000cb2ed71ef13d9/mariawirzbergermariawirzberger2025-09-14T12:08:02+02:00myown teaming safety workload human-ai llis aviation performance trust <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Patrick Lorrig" itemprop="url" href="/person/108d0e00e13d189caced872fec07564ca/author/0"><span itemprop="name">P. Lorrig</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michelle Fini" itemprop="url" href="/person/108d0e00e13d189caced872fec07564ca/author/1"><span itemprop="name">M. Fini</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lennart Lux" itemprop="url" href="/person/108d0e00e13d189caced872fec07564ca/author/2"><span itemprop="name">L. Lux</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/108d0e00e13d189caced872fec07564ca/author/3"><span itemprop="name">M. Wirzberger</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Zamira Daw" itemprop="url" href="/person/108d0e00e13d189caced872fec07564ca/author/4"><span itemprop="name">Z. Daw</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">44th AIAA DATC/IEEE Digital Avionics Systems Conference</span>, </em></span>(<em><span>2025<meta content="2025" itemprop="datePublished"/></span></em>)</span>Sun Sep 14 12:08:02 CEST 202544th AIAA DATC/IEEE Digital Avionics Systems ConferenceAssessing an evaluation framework for Human-AI-Teaming in flight deck applications2025myown teaming safety workload human-ai llis aviation performance trust https://puma.ub.uni-stuttgart.de/bibtex/210e791a85e2b9de0d19f27ca7c09b69d/mariawirzbergermariawirzberger2025-09-12T20:29:24+02:00myown learning technology performance effort digital feedback UTAUT acceptance academic self-regulation working expectancy <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/1aa0c7aa833c1f78085582a4ea6384eda/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Laura Bareiß" itemprop="url" href="/person/1aa0c7aa833c1f78085582a4ea6384eda/author/1"><span itemprop="name">L. Bareiß</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Veronika Herbst" itemprop="url" href="/person/1aa0c7aa833c1f78085582a4ea6384eda/author/2"><span itemprop="name">V. Herbst</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Adrian Stock" itemprop="url" href="/person/1aa0c7aa833c1f78085582a4ea6384eda/author/3"><span itemprop="name">A. Stock</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jule Kembitzky" itemprop="url" href="/person/1aa0c7aa833c1f78085582a4ea6384eda/author/4"><span itemprop="name">J. Kembitzky</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Acta Psychologica</span>, </em> </span>(<em><span>2025<meta content="2025" itemprop="datePublished"/></span></em>)</span>Fri Sep 12 20:29:24 CEST 2025Acta Psychologica105273Performance expectancy benefits acceptance towards digital support for self-regulation2582025myown learning technology performance effort digital feedback UTAUT acceptance academic self-regulation working expectancy Introduction The persistent prevalence of distractions challenges people's capacities to study and work productively. Digital tools can support focusing on meaningful tasks with features like time tracking, feedback, or rewards. Evidence exists for benefits regarding behavioral focus, distraction management, and motivation, but also for hesitation to use digital support at all. Building on the Unified Theory of Acceptance and Use of Technology (UTAUT), this research explores which factors can foster or hinder the intention to use an exemplary software to support self-regulation. Methods A sample of 96 adult volunteers watched a short introductory video explaining how the software focUS fosters self-regulated studying and working. Subsequently, participants completed an online survey to capture their willingness to use focUS, expected gains and challenges, and individual characteristics. Results Participants expressed stronger intentions to use focUS when they expected increased benefits in performance. By trend, lower levels of expected effort also hinted on stronger intentions to use focUS. Contrary to expectations, participants lacking previous experience with software in the scope described, who anticipated higher effort when using focUS, tended to express stronger intentions to use it. Discussion Taken together, our evidence suggests that highlighting specific performance improvements may encourage the use of digital support for tasks that require self-regulation. Ensuring the use of digital support to be as effortless as possible could provide yet another compelling argument to use it. Particularly for inexperienced users, sparking curiosity for the challenges of the unknown might be a worthwhile strategy to reduce hesitation towards emerging technologies.https://puma.ub.uni-stuttgart.de/bibtex/2e0eb12714cb5e8c70bc4ef13a3f70c30/inspo5inspo52025-06-20T14:16:43+02:00stretch epression surae force performance enhancement reflex triceps <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lea‐Fedia Rissmann" itemprop="url" href="/person/140953d65f08f042d8f840b9b2462a29b/author/0"><span itemprop="name">L. Rissmann</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Brent James Raiteri" itemprop="url" href="/person/140953d65f08f042d8f840b9b2462a29b/author/1"><span itemprop="name">B. Raiteri</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Wolfgang Seiberl" itemprop="url" href="/person/140953d65f08f042d8f840b9b2462a29b/author/2"><span itemprop="name">W. Seiberl</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Siebert" itemprop="url" href="/person/140953d65f08f042d8f840b9b2462a29b/author/3"><span itemprop="name">T. Siebert</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Hahn" itemprop="url" href="/person/140953d65f08f042d8f840b9b2462a29b/author/4"><span itemprop="name">D. Hahn</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">The Journal of Physiology</span>, </em> </span>(<em><span>Juni 2025<meta content="Juni 2025" itemprop="datePublished"/></span></em>)</span>Fri Jun 20 14:16:43 CEST 2025The Journal of Physiology06The stretch–shortening cycle effect is not associated with cortical or spinal excitability modulations2025stretch epression surae force performance enhancement reflex triceps It is unclear whether cortical and spinal excitability modulations contribute to enhanced stretch–shortening cycle (SSC) performance. Therefore, this study investigated cortical and spinal excitability modulations during and following shortening of SSC contractions compared with pure shortening (SHO) contractions. Participants (n = 18) performed submaximal voluntary plantar flexion contractions while prone on the dynamometer bench. The right foot was strapped onto the dynamometer's footplate attachment, and the resultant ankle joint torque and crank arm angle were recorded. Cortical and spinal excitability modulations of the soleus muscle were analysed by eliciting compound muscle actional potentials via electrical nerve stimulation, cervicomedullary motor-evoked potentials (CMEPs) via electrical stimulation of the spinal cord, and motor-evoked potentials (MEPs) via magnetic stimulation of the motor cortex. Mean torque following stretch was significantly increased by 7 ± 3% (P = 0.029) compared with the fixed-end reference (REF) contraction, and mean torque during shortening of SSC compared with SHO was significantly increased by 12 ± 24% (P = 0.046). Mean steady-state torque was significantly lower by 13 ± 3% (P = 0.006) and 9 ± 12% (P = 0.011) following SSC compared with REF and SHO, respectively. Mean steady-state torque was not significantly different following SHO compared with REF (7 ± 8%, P = 0.456). CMEPs and MEPs were also not significantly different during shortening of SSC compared with SHO (P ≥ 0.885) or during the steady state of SSC, SHO and REF (P ≥ 0.727). Therefore, our results indicate that SSC performance was not associated with cortical or spinal excitability modulations during or after shortening, but rather driven by mechanical mechanisms triggered during active stretch.https://puma.ub.uni-stuttgart.de/bibtex/2e8ebd2f42b453167d2065725486828cb/vancraenvancraen2024-09-30T13:17:58+02:00myown Performance Evaluation CPU SVM SYCL GPU AISA exc2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Marcel Breyer" itemprop="url" href="/person/1bfbc52cd98d241445f5051b284bf6ded/author/0"><span itemprop="name">M. Breyer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Van Craen" itemprop="url" href="/person/1bfbc52cd98d241445f5051b284bf6ded/author/1"><span itemprop="name">A. Van Craen</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dirk Pflüger" itemprop="url" href="/person/1bfbc52cd98d241445f5051b284bf6ded/author/2"><span itemprop="name">D. Pflüger</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 12th International Workshop on OpenCL and SYCL</span>, </em></span><em>Seite <span itemprop="pagination">1-4</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">Association for Computing Machinery</span>, </em>(<em><span>April 2024<meta content="April 2024" itemprop="datePublished"/></span></em>)</span>Mon Sep 30 13:17:58 CEST 2024New York, NY, USAProceedings of the 12th International Workshop on OpenCL and SYCL041-4IWOCL '24Evaluation of SYCL’s Different Data Parallel Kernels2024myown Performance Evaluation CPU SVM SYCL GPU AISA exc2075 SYCL provides programmers with four, and in the case of AdaptiveCpp even five, ways for calling and writing a device kernel. This paper analyzes the performance of these diverse kernel invocation types for DPC++ and AdaptiveCpp as SYCL implementations on an NVIDIA A100 GPU, an AMD Instinct MI210 GPU, and a dual-socket AMD EPYC 9274F CPU. Using the example of a kernel matrix assembly, we show why the performance can differ by a factor of 100 in the worst case on the same hardware for the same problem using different SYCL implementations and kernel invocation types.https://puma.ub.uni-stuttgart.de/bibtex/20bf5204692e1ba405c3d3bcc99c756b4/mariawirzbergermariawirzberger2024-08-25T17:11:21+02:00fNIRS myown emotion cognition simulation workload llis performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Katharina Lingelbach" itemprop="url" href="/person/1624fe12bf6b88562c04d7d5eabb39c6a/author/0"><span itemprop="name">K. Lingelbach</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sabrina Gado" itemprop="url" href="/person/1624fe12bf6b88562c04d7d5eabb39c6a/author/1"><span itemprop="name">S. Gado</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/1624fe12bf6b88562c04d7d5eabb39c6a/author/2"><span itemprop="name">M. Wirzberger</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mathias Vukelic" itemprop="url" href="/person/1624fe12bf6b88562c04d7d5eabb39c6a/author/3"><span itemprop="name">M. Vukelic</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Frontiers in Neuroergonomics</span>, </em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Sun Aug 25 17:11:21 CEST 2024Frontiers in Neuroergonomics1273810Workload-dependent hemispheric asymmetries during the emotion-cognition interaction: a close-to-naturalistic fNIRS study42023fNIRS myown emotion cognition simulation workload llis performance Introduction We investigated brain activation patterns of interacting emotional distractions and cognitive processes in a close-to-naturalistic functional near-infrared spectroscopy (fNIRS) study. Methods Eighteen participants engaged in a monitoring-control task, mimicking common air traffic controller requirements. The scenario entailed experiencing both low and high workload, while concurrently being exposed to emotional speech distractions of positive, negative, and neutral valence. Results Our investigation identified hemispheric asymmetries in prefrontal cortex (PFC) activity during the presentation of negative and positive emotional speech distractions at different workload levels. Thereby, in particular, activation in the left inferior frontal gyrus (IFG) and orbitofrontal cortex (OFC) seems to play a crucial role. Brain activation patterns revealed a cross-over interaction indicating workload-dependent left hemispheric inhibition processes during negative distractions and high workload. For positive emotional distractions under low workload, we observed left-hemispheric PFC recruitment potentially associated with speech-related processes. Furthermore, we found a workload-independent negativity bias for neutral distractions, showing brain activation patterns similar to those of negative distractions. Discussion In conclusion, lateralized hemispheric processing, regulating emotional speech distractions and integrating emotional and cognitive processes, is influenced by workload levels and stimulus characteristics. These findings advance our understanding of the factors modulating hemispheric asymmetries during the processing and inhibition of emotional distractions, as well as the interplay between emotion and cognition. Moreover, they emphasize the significance of exploring emotion-cognition interactions in more naturalistic settings to gain a deeper understanding of their implications in real-world application scenarios (e.g., working and learning environments).https://puma.ub.uni-stuttgart.de/bibtex/2dc5e87ac6cadb3ad626aa77c570d0aa8/mariawirzbergermariawirzberger2024-08-12T12:35:12+02:00myown emotion HMI cognition simulation llis performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alina Schmitz-Hübsch" itemprop="url" href="/person/1285ed0cb1e3acc8a46f7066af6ac02af/author/0"><span itemprop="name">A. Schmitz-Hübsch</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ron Becker" itemprop="url" href="/person/1285ed0cb1e3acc8a46f7066af6ac02af/author/1"><span itemprop="name">R. Becker</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/1285ed0cb1e3acc8a46f7066af6ac02af/author/2"><span itemprop="name">M. Wirzberger</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Computers in Human Behavior Reports</span>, </em> </span>(<em><span>März 2024<meta content="März 2024" itemprop="datePublished"/></span></em>)</span>Mon Aug 12 12:35:12 CEST 2024Computers in Human Behavior Reports03100364Emotion-performance relationship in safety-critical human-machine systems132024myown emotion HMI cognition simulation llis performance https://puma.ub.uni-stuttgart.de/bibtex/2d4e5455f2ff303085c578af509d79b48/mariawirzbergermariawirzberger2024-08-12T12:28:39+02:00teacher myown giftedness instruction cognition personality stereotype llis performance behavior <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Laura Bareiß" itemprop="url" href="/person/11e0ffa9d0cd18bf769a0ec252a115ebc/author/0"><span itemprop="name">L. Bareiß</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Friedrich Platz" itemprop="url" href="/person/11e0ffa9d0cd18bf769a0ec252a115ebc/author/1"><span itemprop="name">F. Platz</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/11e0ffa9d0cd18bf769a0ec252a115ebc/author/2"><span itemprop="name">M. Wirzberger</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Social Psychology of Education</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">27 </span></span>(<span itemprop="issueNumber">3</span>): <span itemprop="pagination">1009--1041</span></em> </span>(<em><span>01.06.2023<meta content="01.06.2023" itemprop="datePublished"/></span></em>)</span>Mon Aug 12 12:28:39 CEST 2024Social Psychology of Education0631009--1041Implicit assumptions of (prospective) music school teachers about musically gifted students272023teacher myown giftedness instruction cognition personality stereotype llis performance behavior 01Stereotypical assumptions associating high levels of giftedness and outstanding performance with maladaptive behavioral characteristics and personality traits (cf. disharmony stereotype) are rather prevalent in the school context as well as in the musical domain. Such preconceptions among teachers can influence student assessment and corresponding performance expectations, which might, in turn, impact future lesson planning. In an experiment using a controlled vignette approach, the current study, with N{\thinspace}={\thinspace}211 (prospective) German music school teachers, investigated how background information, combined with a manipulated music recording, affected (prospective) music school teachers' assessment of a fictive student's performance, behavioral characteristics, personality traits, and teachers'  consequential lesson planning. Experimental variations included the fictive student's supposed level of giftedness, social interaction, age, and duration of instrumental lessons. Results indicated that music school teachers' preconceptions of students assumed to be musically gifted were a high level of intellectual and musical abilities with behavioral characteristics and personality traits rated at least equivalent to those of students assumed to have average giftedness. Teachers' lesson planning was not influenced by any of the manipulated background information. Taken together, the observed pattern of effects contradicts the disharmony stereotype but tends to align more with the harmony stereotype as music school teachers' prevailing preconceptions about students supposed to be musically gifted.https://puma.ub.uni-stuttgart.de/bibtex/2c7b1b5c04506bbf7cc3e680338a7928a/mariawirzbergermariawirzberger2024-08-12T12:26:08+02:00myown emotion cognition llis performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alina Schmitz-Hübsch" itemprop="url" href="/person/177759a1f90480032e828e00b7a9e7b82/author/0"><span itemprop="name">A. Schmitz-Hübsch</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. E. Gruber" itemprop="url" href="/person/177759a1f90480032e828e00b7a9e7b82/author/1"><span itemprop="name">M. Gruber</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yazmin Diaz" itemprop="url" href="/person/177759a1f90480032e828e00b7a9e7b82/author/2"><span itemprop="name">Y. Diaz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/177759a1f90480032e828e00b7a9e7b82/author/3"><span itemprop="name">M. Wirzberger</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="P. A. Hancock" itemprop="url" href="/person/177759a1f90480032e828e00b7a9e7b82/author/4"><span itemprop="name">P. Hancock</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Ergonomics</span>, </em> </span>(<em><span>Juli 2024<meta content="Juli 2024" itemprop="datePublished"/></span></em>)</span>Mon Aug 12 12:26:08 CEST 2024Ergonomics071–14Towards enhanced performance: an integrated framework of emotional valence, arousal, and task demand2024myown emotion cognition llis performance https://puma.ub.uni-stuttgart.de/bibtex/2f580abb0ec491c1934a5fae8456b9381/mariawirzbergermariawirzberger2023-10-31T09:32:14+01:00myown acceptance AI attention performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Veronika Herbst" itemprop="url" href="/person/17b7c4eadf20796978744f2b07bce79bd/author/0"><span itemprop="name">V. Herbst</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Adrian Stock" itemprop="url" href="/person/17b7c4eadf20796978744f2b07bce79bd/author/1"><span itemprop="name">A. Stock</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Laura Bareiß" itemprop="url" href="/person/17b7c4eadf20796978744f2b07bce79bd/author/2"><span itemprop="name">L. Bareiß</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/17b7c4eadf20796978744f2b07bce79bd/author/3"><span itemprop="name">M. Wirzberger</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 45th Annual Meeting of the Cognitive Science Society</span>, </em></span><em>Seite <span itemprop="pagination">3911</span>. </em><em><span itemprop="publisher">Cognitive Science Society</span>, </em>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Tue Oct 31 09:32:14 CET 2023Proceedings of the 45th Annual Meeting of the Cognitive Science Society3911User’s acceptance of an AI-based software to promote attention control2023myown acceptance AI attention performance https://puma.ub.uni-stuttgart.de/bibtex/2b3f90b8922236ccac248f783843a3c1b/mariawirzbergermariawirzberger2023-09-23T10:00:44+02:00myown simtech cognition learning performance imported emotion instruction personality llis <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alina Schmitz-Hübsch" itemprop="url" href="/person/124d07f98bb72c6d80a0bd07110ff47c6/author/0"><span itemprop="name">A. Schmitz-Hübsch</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ron Becker" itemprop="url" href="/person/124d07f98bb72c6d80a0bd07110ff47c6/author/1"><span itemprop="name">R. Becker</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/124d07f98bb72c6d80a0bd07110ff47c6/author/2"><span itemprop="name">M. Wirzberger</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Adaptive Instructional Systems. HCII 2023. Lecture Notes in Computer Science</span>, </em><em><span itemprop="publisher">Springer</span>, </em></span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Sat Sep 23 10:00:44 CEST 2023Adaptive Instructional Systems. HCII 2023. Lecture Notes in Computer Science60–75Personality Traits in the Emotion-Performance-Relationship in Intelligent Tutoring Systems2023myown simtech cognition learning performance imported emotion instruction personality llis Affective Tutoring Systems (ATS) detect and mitigate critical emotional learner states with the aim of providing individualized support. In tutoring systems for safety-critical work environments, students are trained to achieve and maintain high performance, therefore an ATS should be capable of identifying critical emotional states hindering performance. Interindividual differences in the emotion-performance-relationship can be considered by using the ARC categorization system. The present contribution aims at developing a questionnaire-based method of classifying new learners to the categories. To that end, we investigated differences in personality traits between the different categories. In an airspace surveillance task, we measured performance, emotional valence, emotional arousal, and personality traits in N = 50 subjects. Results showed that a positive valence-performance-relationship, compared to a negative valence-performance-relationship, is associated with higher Neuroticism, lower Conscientiousness, and lower Openness to experience. There were no significant differences in the traits Agreeableness and Extraversion. Based on these results, a future ATS for safety-critical work environments could classify new learners in the ARCs using self-report data and thus dispense with physiological sensors. Thereby, user state diagnosis and evaluation for high performance is possible, setting the ground for an ATS adapting to critical emotional learner states.https://puma.ub.uni-stuttgart.de/bibtex/2f3554c02f79ed324fdf1437e5be63b62/inspo5inspo52022-07-19T11:10:29+02:00exercise plyometric enhancement history reflex passive performance stretch energy dependence elastic contraction eccentric <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Wolfgang Seiberl" itemprop="url" href="/person/152bab2525454ad268d0bb12e8879eb69/author/0"><span itemprop="name">W. Seiberl</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Hahn" itemprop="url" href="/person/152bab2525454ad268d0bb12e8879eb69/author/1"><span itemprop="name">D. Hahn</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Geoffrey A. Power" itemprop="url" href="/person/152bab2525454ad268d0bb12e8879eb69/author/2"><span itemprop="name">G. Power</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jared R. Fletcher" itemprop="url" href="/person/152bab2525454ad268d0bb12e8879eb69/author/3"><span itemprop="name">J. Fletcher</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Siebert" itemprop="url" href="/person/152bab2525454ad268d0bb12e8879eb69/author/4"><span itemprop="name">T. Siebert</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Frontiers in Physiology</span>, </em> </span>(<em><span>Mai 2021<meta content="Mai 2021" itemprop="datePublished"/></span></em>)</span>Tue Jul 19 11:10:29 CEST 2022Frontiers in Physiology05Editorial: The Stretch-Shortening Cycle of Active Muscle and Muscle-Tendon Complex: What, Why and How It Increases Muscle Performance?122021exercise plyometric enhancement history reflex passive performance stretch energy dependence elastic contraction eccentric https://puma.ub.uni-stuttgart.de/bibtex/261fedf1d36ba0727ea70b4ebe0ccf080/inspo5inspo52022-07-19T11:10:29+02:00contractile mechanical damping enhancement performance contractions stretch shortening PN2A-1 muscle power eccentric behavior <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="André Tomalka" itemprop="url" href="/person/12c45e90e696b09a75331acf51aae74e4/author/0"><span itemprop="name">A. Tomalka</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sven Weidner" itemprop="url" href="/person/12c45e90e696b09a75331acf51aae74e4/author/1"><span itemprop="name">S. Weidner</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Hahn" itemprop="url" href="/person/12c45e90e696b09a75331acf51aae74e4/author/2"><span itemprop="name">D. Hahn</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Wolfgang Seiberl" itemprop="url" href="/person/12c45e90e696b09a75331acf51aae74e4/author/3"><span itemprop="name">W. Seiberl</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Siebert" itemprop="url" href="/person/12c45e90e696b09a75331acf51aae74e4/author/4"><span itemprop="name">T. Siebert</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Frontiers in Physiology</span>, </em> </span>(<em><span>März 2021<meta content="März 2021" itemprop="datePublished"/></span></em>)</span>Tue Jul 19 11:10:29 CEST 2022Frontiers in Physiology03Power Amplification Increases With Contraction Velocity During Stretch-Shortening Cycles of Skinned Muscle Fibers122021contractile mechanical damping enhancement performance contractions stretch shortening PN2A-1 muscle power eccentric behavior Muscle force, work, and power output during concentric contractions (active muscle shortening) are increased immediately following an eccentric contraction (active muscle lengthening). This increase in performance is known as the stretch-shortening cycle (SSC)-effect. Recent findings demonstrate that the SSC-effect is present in the sarcomere itself. More recently, it has been suggested that cross-bridge (XB) kinetics and non-cross-bridge (non-XB) structures (e.g., titin and nebulin) contribute to the SSC-effect. As XBs and non-XB structures are characterized by a velocity dependence, we investigated the impact of stretch-shortening velocity on the SSC-effect. Accordingly, we performed in vitro isovelocity ramp experiments with varying ramp velocities (30, 60, and 85% of maximum contraction velocity for both stretch and shortening) and constant stretch-shortening magnitudes (17% of the optimum sarcomere length) using single skinned fibers of rat soleus muscles. The different contributions of XB and non-XB structures to force production were identified using the XB-inhibitor Blebbistatin. We show that (i) the SSC-effect is velocity-dependent—since the power output increases with increasing SSC-velocity. (ii) The energy recovery (ratio of elastic energy storage and release in the SSC) is higher in the Blebbistatin condition compared with the control condition. The stored and released energy in the Blebbistatin condition can be explained by the viscoelastic properties of the non-XB structure titin. Consequently, our experimental findings suggest that the energy stored in titin during the eccentric phase contributes to the SSC-effect in a velocity-dependent manner.https://puma.ub.uni-stuttgart.de/bibtex/2cb291e05a1a3bbb91a404b35dfb148a0/tpollingertpollinger2022-03-24T16:12:08+01:00{HPX} myown Performance {CUDA} Portability hpc Task-based {GPU} Kokkos <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gregor Daiß" itemprop="url" href="/person/123aeada47e005c4caa88b8ee189c767a/author/0"><span itemprop="name">G. Daiß</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mikael Simberg" itemprop="url" href="/person/123aeada47e005c4caa88b8ee189c767a/author/1"><span itemprop="name">M. Simberg</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Auriane Reverdell" itemprop="url" href="/person/123aeada47e005c4caa88b8ee189c767a/author/2"><span itemprop="name">A. Reverdell</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="John Biddiscombe" itemprop="url" href="/person/123aeada47e005c4caa88b8ee189c767a/author/3"><span itemprop="name">J. Biddiscombe</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Theresa Pollinger" itemprop="url" href="/person/123aeada47e005c4caa88b8ee189c767a/author/4"><span itemprop="name">T. Pollinger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hartmut Kaiser" itemprop="url" href="/person/123aeada47e005c4caa88b8ee189c767a/author/5"><span itemprop="name">H. Kaiser</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dirk Pflüger" itemprop="url" href="/person/123aeada47e005c4caa88b8ee189c767a/author/6"><span itemprop="name">D. Pflüger</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)</span>, </em></span><em>Seite <span itemprop="pagination">377--386</span>. </em>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Thu Mar 24 16:12:08 CET 20222021 {IEEE} International Parallel and Distributed Processing Symposium Workshops ({IPDPSW})377--386Beyond Fork-Join: Integration of Performance Portable Kokkos Kernels with HPX2021{HPX} myown Performance {CUDA} Portability hpc Task-based {GPU} Kokkos Between a widening range of {GPU} vendors and the trend of having more {GPUs} per compute node in supercomputers such as Summit, Perlmutter, Frontier and Aurora, developing performant yet portable distributed {HPC} applications becomes ever more challenging. Leveraging existing solutions like Kokkos for platform-independent code and {HPX} for distributing the application in a task-based fashion can alleviate these challenges. However, using such frameworks in the same application requires them to work together seamlessly. In this work we present an {HPX} Kokkos integration that works both ways: we can integrate {CPU} and {GPU} Kokkos kernels as {HPX} tasks and inversely use {HPX} worker threads to work on Kokkos kernels. Using {HPX} futures makes launching and synchronizing Kokkos kernels from multiple threads easy, allowing us to move away from the more traditional fork-join model. To evaluate our integrations we ported existing Vc and {CUDA} kernels within an existing {HPX} application, Octo-Tiger, to use Kokkos instead. We achieve comparable, or better, performance than with previous Vc and {CUDA} kernels, showing both the viability of our {HPX} Kokkos integration, as well as future-proofing Octo-Tiger for a wider range of potential machines. Furthermore, we introduce event polling for synchronizing {CUDA} kernels (or Kokkos kernels on the respective backend) achieving speedups over the previous solution using callbacks.https://puma.ub.uni-stuttgart.de/bibtex/22107c5fc20a6011daa68f70fa4309d1d/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00myown modeling ACT-R cognition learning performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/15f15226999856b02330804f9950fec55/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jelmer P Borst" itemprop="url" href="/person/15f15226999856b02330804f9950fec55/author/1"><span itemprop="name">J. Borst</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Josef F Krems" itemprop="url" href="/person/15f15226999856b02330804f9950fec55/author/2"><span itemprop="name">J. Krems</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Günter Daniel Rey" itemprop="url" href="/person/15f15226999856b02330804f9950fec55/author/3"><span itemprop="name">G. Rey</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">52nd Annual Meeting of the Society for Mathematical Psychology. Program and Abstracts</span>, </em></span><em>Seite <span itemprop="pagination">19--20</span>. </em><em>Montreal, QB, </em><em><span itemprop="publisher">Society for Mathematical Psychology</span>, </em>(<em><span>2019<meta content="2019" itemprop="datePublished"/></span></em>)</span>Fri Mar 20 16:22:37 CET 2020Montreal, QB52nd Annual Meeting of the Society for Mathematical Psychology. Program and Abstracts19--20A model-based explanation of performance related changes in abstract stimulus-response learning2019myown modeling ACT-R cognition learning performance https://puma.ub.uni-stuttgart.de/bibtex/2ec5bc4f17a2429bac7e64966fe54b791/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00myown modeling ACT-R interruptions learning performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/1d8107b31b5f879a3a0df83c15e7b3a15/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jelmer P Borst" itemprop="url" href="/person/1d8107b31b5f879a3a0df83c15e7b3a15/author/1"><span itemprop="name">J. Borst</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Josef F Krems" itemprop="url" href="/person/1d8107b31b5f879a3a0df83c15e7b3a15/author/2"><span itemprop="name">J. Krems</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Günter Daniel Rey" itemprop="url" href="/person/1d8107b31b5f879a3a0df83c15e7b3a15/author/3"><span itemprop="name">G. Rey</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">41st Annual Meeting of the Cognitive Science Society</span>, </em></span><em>Seite <span itemprop="pagination">1206--1211</span>. </em><em>Montreal, QB, </em><em><span itemprop="publisher">Cognitive Science Society</span>, </em>(<em><span>2019<meta content="2019" itemprop="datePublished"/></span></em>)</span>Fri Mar 20 16:22:37 CET 2020Montreal, QB41st Annual Meeting of the Cognitive Science Society1206--1211An ACT-R approach to investigating mechanisms of performance-related changes in an interrupted learning task2019myown modeling ACT-R interruptions learning performance https://puma.ub.uni-stuttgart.de/bibtex/23cc0b47924a2df2fa961cb29da764f56/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00myown delay memory elderly training performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/1becdb436bc50b3b14354f6f9a08b7daa/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rène Schmidt" itemprop="url" href="/person/1becdb436bc50b3b14354f6f9a08b7daa/author/1"><span itemprop="name">R. Schmidt</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Georgi" itemprop="url" href="/person/1becdb436bc50b3b14354f6f9a08b7daa/author/2"><span itemprop="name">M. Georgi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Wolfram Hardt" itemprop="url" href="/person/1becdb436bc50b3b14354f6f9a08b7daa/author/3"><span itemprop="name">W. Hardt</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Guido Brunnett" itemprop="url" href="/person/1becdb436bc50b3b14354f6f9a08b7daa/author/4"><span itemprop="name">G. Brunnett</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Günter Daniel Rey" itemprop="url" href="/person/1becdb436bc50b3b14354f6f9a08b7daa/author/5"><span itemprop="name">G. Rey</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Annual Meeting of the Europe Chapter of the Human Factors and Ergonomics Society 2018, Technology for an Aging Society, Book of Abstracts</span>, </em></span><em>Seite <span itemprop="pagination">42</span>. </em><em>Berlin, </em>(<em><span>2018<meta content="2018" itemprop="datePublished"/></span></em>)</span>Fri Mar 20 16:22:37 CET 2020BerlinAnnual Meeting of the Europe Chapter of the Human Factors and Ergonomics Society 2018, Technology for an Aging Society, Book of Abstracts42Influences of system response delay on elderly participants’ performance in a virtual memory training2018myown delay memory elderly training performance https://puma.ub.uni-stuttgart.de/bibtex/20f3b15cf045e74d9f0ecc98682c3f04d/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00myown speech cognition load physiology learning performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/12af538801cbfe9473d945f63c0f851d0/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Herms" itemprop="url" href="/person/12af538801cbfe9473d945f63c0f851d0/author/1"><span itemprop="name">R. Herms</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Shirin Esmaeili Bijarsari" itemprop="url" href="/person/12af538801cbfe9473d945f63c0f851d0/author/2"><span itemprop="name">S. Esmaeili Bijarsari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Günter Daniel Rey" itemprop="url" href="/person/12af538801cbfe9473d945f63c0f851d0/author/3"><span itemprop="name">G. Rey</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maximilian Eibl" itemprop="url" href="/person/12af538801cbfe9473d945f63c0f851d0/author/4"><span itemprop="name">M. Eibl</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Abstracts of the 60th Conference of Experimental Psychologists</span>, </em></span><em>Seite <span itemprop="pagination">296</span>. </em><em>Lengerich, </em><em><span itemprop="publisher">Pabst Science Publishers</span>, </em>(<em><span>2018<meta content="2018" itemprop="datePublished"/></span></em>)</span>Fri Mar 20 16:22:37 CET 2020LengerichAbstracts of the 60th Conference of Experimental Psychologists296Cognitive load influences performance, speech and physiological parameters in a multimodal dual-task setting2018myown speech cognition load physiology learning performance https://puma.ub.uni-stuttgart.de/bibtex/2ea35e26f5392dcefc3ded4ba179ff44e/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00myown speech corpus cognition load dual-task learning performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Herms" itemprop="url" href="/person/124329a88f88d941e5ad084fe9493856e/author/0"><span itemprop="name">R. Herms</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/124329a88f88d941e5ad084fe9493856e/author/1"><span itemprop="name">M. Wirzberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maximilian Eibl" itemprop="url" href="/person/124329a88f88d941e5ad084fe9493856e/author/2"><span itemprop="name">M. Eibl</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Güenter Daniel Rey" itemprop="url" href="/person/124329a88f88d941e5ad084fe9493856e/author/3"><span itemprop="name">G. Rey</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 11th International Language Resources and Evaluation Conference (LREC 2018)</span>, </em></span><em>Seite <span itemprop="pagination">4312--4317</span>. </em><em>Miyazaki, Japan, </em><em><span itemprop="publisher">European Language Resource Association (ELRA)</span>, </em>(<em><span>2018<meta content="2018" itemprop="datePublished"/></span></em>)</span>Fri Mar 20 16:22:37 CET 2020Miyazaki, JapanProceedings of the 11th International Language Resources and Evaluation Conference (LREC 2018)4312--4317{CoLoSS: C}ognitive load corpus with speech and performance data from a symbol-digit dual-task2018myown speech corpus cognition load dual-task learning performance https://puma.ub.uni-stuttgart.de/bibtex/284609c8f7d27098af12f1ffb3435a1d0/mariawirzbergermariawirzberger2020-03-20T16:22:37+01:00myown speech cognition load dual-task physiology learning performance <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maria Wirzberger" itemprop="url" href="/person/1a813de39fdb115c559c9b26d7cc249fd/author/0"><span itemprop="name">M. Wirzberger</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Herms" itemprop="url" href="/person/1a813de39fdb115c559c9b26d7cc249fd/author/1"><span itemprop="name">R. Herms</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Shirin Esmaeili Bijarsari" itemprop="url" href="/person/1a813de39fdb115c559c9b26d7cc249fd/author/2"><span itemprop="name">S. Esmaeili Bijarsari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Günter Daniel Rey" itemprop="url" href="/person/1a813de39fdb115c559c9b26d7cc249fd/author/3"><span itemprop="name">G. Rey</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maximilian Eibl" itemprop="url" href="/person/1a813de39fdb115c559c9b26d7cc249fd/author/4"><span itemprop="name">M. Eibl</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Abstracts of the 20th Conference of the European Society for Cognitive Psychology</span>, </em></span><em>Seite <span itemprop="pagination">161</span>. </em><em>Potsdam, Germany, </em>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>Fri Mar 20 16:22:37 CET 2020Potsdam, GermanyAbstracts of the 20th Conference of the European Society for Cognitive Psychology161Influences of cognitive load on learning performance, speech and physiological parameters in a dual-task setting2017myown speech cognition load dual-task physiology learning performance