PUMA publications for /user/sfbtrr161/from:mueller%20visus%20vis(us)https://puma.ub.uni-stuttgart.de/user/sfbtrr161/from:mueller%20visus%20vis(us)PUMA RSS feed for /user/sfbtrr161/from:mueller%20visus%20vis(us)2024-03-29T02:00:44+01:00Interactive Molecular Graphics for Augmented Reality Using HoloLenshttps://puma.ub.uni-stuttgart.de/bibtex/2a7dd20c420631602c93cd37f02d8f627/sfbtrr161sfbtrr1612018-06-14T11:01:26+02:00from:mueller myown sfb sfb716 sfb716-d4 sfb716-d4-ertl sfbtrr161-a02 sfbtrr161-inf vis(us) visus visus:ertl visus:herrdk visus:huberms visus:kochsn visus:kroneml visus:mueller visus:weiskopf <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Müller" itemprop="url" href="/person/144f6f0e74eff507174d06183e52e0e10/author/0"><span itemprop="name">C. Müller</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michael Krone" itemprop="url" href="/person/144f6f0e74eff507174d06183e52e0e10/author/1"><span itemprop="name">M. Krone</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Markus Huber" itemprop="url" href="/person/144f6f0e74eff507174d06183e52e0e10/author/2"><span itemprop="name">M. Huber</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Verena Biener" itemprop="url" href="/person/144f6f0e74eff507174d06183e52e0e10/author/3"><span itemprop="name">V. Biener</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dominik Herr" itemprop="url" href="/person/144f6f0e74eff507174d06183e52e0e10/author/4"><span itemprop="name">D. Herr</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Steffen Koch" itemprop="url" href="/person/144f6f0e74eff507174d06183e52e0e10/author/5"><span itemprop="name">S. Koch</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Guido Reina" itemprop="url" href="/person/144f6f0e74eff507174d06183e52e0e10/author/6"><span itemprop="name">G. Reina</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Weiskopf" itemprop="url" href="/person/144f6f0e74eff507174d06183e52e0e10/author/7"><span itemprop="name">D. Weiskopf</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Ertl" itemprop="url" href="/person/144f6f0e74eff507174d06183e52e0e10/author/8"><span itemprop="name">T. Ertl</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Journal of Integrative Bioinformatics</span>, </em> </span>(<em><span>2018<meta content="2018" itemprop="datePublished"/></span></em>)</span>Thu Jun 14 11:01:26 CEST 2018Journal of Integrative BioinformaticsInteractive Molecular Graphics for Augmented Reality Using HoloLens2018from:mueller myown sfb sfb716 sfb716-d4 sfb716-d4-ertl sfbtrr161-a02 sfbtrr161-inf vis(us) visus visus:ertl visus:herrdk visus:huberms visus:kochsn visus:kroneml visus:mueller visus:weiskopf Visual Data Cleansing of Eye Tracking Datahttps://puma.ub.uni-stuttgart.de/bibtex/2782dc091655d4f2baecfb9198f8748ee/sfbtrr161sfbtrr1612017-10-25T15:53:51+02:002015 A01 from:mueller sfbtrr161 vis(us) visus visus:burchml visus:schulzch visus:weiskopf <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schulz" itemprop="url" href="/person/112db416024bf94eed4b64df12e6919bc/author/0"><span itemprop="name">C. Schulz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michael Burch" itemprop="url" href="/person/112db416024bf94eed4b64df12e6919bc/author/1"><span itemprop="name">M. Burch</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Daniel Weiskopf" itemprop="url" href="/person/112db416024bf94eed4b64df12e6919bc/author/2"><span itemprop="name">D. Weiskopf</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 Symposium on Eye Tracking and Visualization (ETVIS)</span>, </em></span>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)<em>Rezensiertes Abstract.</em></span>Wed Oct 25 15:53:51 CEST 2017Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS)Rezensiertes AbstractVisual Data Cleansing of Eye Tracking Data20152015 A01 from:mueller sfbtrr161 vis(us) visus visus:burchml visus:schulzch visus:weiskopf Analysis and visualization of eye movement data from eye tracking studies typically take into account gazes, fixations,and saccades of both eyes filtered and fused into a combined eye. Although this is a valid strategy, we argue that it is also worthinvestigating low-level eye tracking data prior to high-level analysis, since today’s eye tracking systems measure and infer data fromboth eyes separately. In this work, we present an approach that supports visual analysis and cleansing of low-level time-varying datafor a wide range of eye tracking experiments. The visualization helps researchers get insights into the quality in terms of uncertainty—not only for both eyes in combination but each eye individually. Furthermore, we discuss uncertainty originating from eye tracking,how to reveal it for visualization and illustrate its usefulness using our approach by applying it to eye movement data formerly recordedwith a Tobii T60XL stationary eye tracker using a prototypical implementation.Visual Data Cleansing of Eye Tracking Data