{ "types" : { "Bookmark" : { "pluralLabel" : "Bookmarks" }, "Publication" : { "pluralLabel" : "Publications" }, "GoldStandardPublication" : { "pluralLabel" : "GoldStandardPublications" }, "GoldStandardBookmark" : { "pluralLabel" : "GoldStandardBookmarks" }, "Tag" : { "pluralLabel" : "Tags" }, "User" : { "pluralLabel" : "Users" }, "Group" : { "pluralLabel" : "Groups" }, "Sphere" : { "pluralLabel" : "Spheres" } }, "properties" : { "count" : { "valueType" : "number" }, "date" : { "valueType" : "date" }, "changeDate" : { "valueType" : "date" }, "url" : { "valueType" : "url" }, "id" : { "valueType" : "url" }, "tags" : { "valueType" : "item" }, "user" : { "valueType" : "item" } }, "items" : [ { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2e27382447f62a8fb4125615584a67341/iris", "tags" : [ "IRIS","iris","iris3d" ], "intraHash" : "e27382447f62a8fb4125615584a67341", "interHash" : "553a22cf8b4a767427d66548ace24937", "label" : "Large reasoning models are autonomous jailbreak agents", "user" : "iris", "description" : "", "date" : "2026-02-24 14:45:15", "changeDate" : "2026-02-24 14:45:15", "count" : 2, "pub-type": "article", "journal": "Nature Communications", "year": "2026", "url": "https://doi.org/10.1038/s41467-026-69010-1", "author": [ "Thilo Hagendorff","Erik Derner","Nuria Oliver" ], "authors": [ {"first" : "Thilo", "last" : "Hagendorff"}, {"first" : "Erik", "last" : "Derner"}, {"first" : "Nuria", "last" : "Oliver"} ], "volume": "17","number": "1","pages": "1435","abstract": "Jailbreaking -- bypassing built-in safety mechanisms in AI models -- has traditionally required complex technical procedures or specialized human expertise. In this study, we show that the persuasive capabilities of large reasoning models (LRMs) simplify and scale jailbreaking, converting it into an inexpensive activity accessible to non-experts. We evaluated the capabilities of four LRMs (DeepSeek-R1, Gemini 2.5 Flash, Grok 3 Mini, Qwen3 235B) to act as autonomous adversaries conducting multi-turn conversations with nine widely used target models. LRMs received instructions via a system prompt, before proceeding to planning and executing jailbreaks with no further supervision. We performed extensive experiments with a benchmark of harmful prompts covering several sensitive domains. This setup yielded an overall jailbreak success rate across all model combinations of 97.14\\%. Our study reveals an alignment regression, in which LRMs can systematically erode the safety guardrails of other models, highlighting the urgent need to further align frontier models not only to resist jailbreak attempts, but also to prevent them from being co-opted into acting as jailbreak agents.", "issn" : "2041-1723", "doi" : "10.1038/s41467-026-69010-1", "bibtexKey": "Hagendorff2026" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2e27382447f62a8fb4125615584a67341/thilohagendorff", "tags" : [ "iris" ], "intraHash" : "e27382447f62a8fb4125615584a67341", "interHash" : "553a22cf8b4a767427d66548ace24937", "label" : "Large reasoning models are autonomous jailbreak agents", "user" : "thilohagendorff", "description" : "", "date" : "2026-02-24 14:45:14", "changeDate" : "2026-02-24 14:48:41", "count" : 2, "pub-type": "article", "journal": "Nature Communications", "year": "2026", "url": "https://doi.org/10.1038/s41467-026-69010-1", "author": [ "Thilo Hagendorff","Erik Derner","Nuria Oliver" ], "authors": [ {"first" : "Thilo", "last" : "Hagendorff"}, {"first" : "Erik", "last" : "Derner"}, {"first" : "Nuria", "last" : "Oliver"} ], "volume": "17","number": "1","pages": "1435","abstract": "Jailbreaking -- bypassing built-in safety mechanisms in AI models -- has traditionally required complex technical procedures or specialized human expertise. In this study, we show that the persuasive capabilities of large reasoning models (LRMs) simplify and scale jailbreaking, converting it into an inexpensive activity accessible to non-experts. We evaluated the capabilities of four LRMs (DeepSeek-R1, Gemini 2.5 Flash, Grok 3 Mini, Qwen3 235B) to act as autonomous adversaries conducting multi-turn conversations with nine widely used target models. LRMs received instructions via a system prompt, before proceeding to planning and executing jailbreaks with no further supervision. We performed extensive experiments with a benchmark of harmful prompts covering several sensitive domains. This setup yielded an overall jailbreak success rate across all model combinations of 97.14\\%. Our study reveals an alignment regression, in which LRMs can systematically erode the safety guardrails of other models, highlighting the urgent need to further align frontier models not only to resist jailbreak attempts, but also to prevent them from being co-opted into acting as jailbreak agents.", "issn" : "2041-1723", "doi" : "10.1038/s41467-026-69010-1", "bibtexKey": "Hagendorff2026" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/24372245466b5c2aea9ed552c372e0c5e/iris", "tags" : [ "IRIS","iris","reflection","iris3d" ], "intraHash" : "4372245466b5c2aea9ed552c372e0c5e", "interHash" : "64391a7b7c24a8eb0482c38aa7a4a69a", "label" : "Emergently Misaligned Language Models Show Behavioral Self-Awareness That Shifts With Subsequent Realignment", "user" : "iris", "description" : "", "date" : "2026-02-18 11:12:37", "changeDate" : "2026-02-18 14:46:21", "count" : 2, "pub-type": "article", "year": "2026", "url": "https://arxiv.org/abs/2602.14777", "author": [ "Laurène Vaugrante","Anietta Weckauff","Thilo Hagendorff" ], "authors": [ {"first" : "Laurène", "last" : "Vaugrante"}, {"first" : "Anietta", "last" : "Weckauff"}, {"first" : "Thilo", "last" : "Hagendorff"} ], "eprint" : "2602.14777", "archiveprefix" : "arXiv", "primaryclass" : "cs.CL", "bibtexKey": "vaugrante2026emergentlymisalignedlanguagemodels" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/24372245466b5c2aea9ed552c372e0c5e/lvaugrante", "tags" : [ "IRIS","iris","iris3d" ], "intraHash" : "4372245466b5c2aea9ed552c372e0c5e", "interHash" : "64391a7b7c24a8eb0482c38aa7a4a69a", "label" : "Emergently Misaligned Language Models Show Behavioral Self-Awareness That Shifts With Subsequent Realignment", "user" : "lvaugrante", "description" : "", "date" : "2026-02-18 11:09:05", "changeDate" : "2026-02-18 14:46:21", "count" : 2, "pub-type": "article", "year": "2026", "url": "https://arxiv.org/abs/2602.14777", "author": [ "Laurène Vaugrante","Anietta Weckauff","Thilo Hagendorff" ], "authors": [ {"first" : "Laurène", "last" : "Vaugrante"}, {"first" : "Anietta", "last" : "Weckauff"}, {"first" : "Thilo", "last" : "Hagendorff"} ], "eprint" : "2602.14777", "archiveprefix" : "arXiv", "primaryclass" : "cs.CL", "bibtexKey": "vaugrante2026emergentlymisalignedlanguagemodels" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2750ea0849720cc310e011944e73e1e9e/iris", "tags" : [ "srf_iris","iris","IRIS" ], "intraHash" : "750ea0849720cc310e011944e73e1e9e", "interHash" : "a3de3ec6199352061e7c12919d50f325", "label" : "Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations", "user" : "iris", "description" : "", "date" : "2026-02-18 10:53:51", "changeDate" : "2026-02-18 10:54:24", "count" : 3, "pub-type": "misc", "year": "2025", "url": "https://arxiv.org/abs/2512.13913", "author": [ "Patrick Egenlauf","Iva Březinová","Sabine Andergassen","Miriam Klopotek" ], "authors": [ {"first" : "Patrick", "last" : "Egenlauf"}, {"first" : "Iva", "last" : "Březinová"}, {"first" : "Sabine", "last" : "Andergassen"}, {"first" : "Miriam", "last" : "Klopotek"} ], "eprint" : "2512.13913", "archiveprefix" : "arXiv", "primaryclass" : "cs.LG", "bibtexKey": "egenlauf2025capturingreducedorderquantummanybody" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2750ea0849720cc310e011944e73e1e9e/pegenlauf", "tags" : [ "IRIS","machinelearning","manybodyml","myown","patrickegenlauf","physics","publist" ], "intraHash" : "750ea0849720cc310e011944e73e1e9e", "interHash" : "a3de3ec6199352061e7c12919d50f325", "label" : "Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations", "user" : "pegenlauf", "description" : "", "date" : "2026-02-17 15:29:11", "changeDate" : "2026-02-18 10:54:24", "count" : 3, "pub-type": "misc", "year": "2025", "url": "https://arxiv.org/abs/2512.13913", "author": [ "Patrick Egenlauf","Iva Březinová","Sabine Andergassen","Miriam Klopotek" ], "authors": [ {"first" : "Patrick", "last" : "Egenlauf"}, {"first" : "Iva", "last" : "Březinová"}, {"first" : "Sabine", "last" : "Andergassen"}, {"first" : "Miriam", "last" : "Klopotek"} ], "eprint" : "2512.13913", "archiveprefix" : "arXiv", "primaryclass" : "cs.LG", "bibtexKey": "egenlauf2025capturingreducedorderquantummanybody" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2750f20020dbf7af9ce516faf2722b801/iris", "tags" : [ "IRIS","srf_iris" ], "intraHash" : "750f20020dbf7af9ce516faf2722b801", "interHash" : "ed84856b05faaa1a91fd54bb9055dc57", "label" : "Decoding Digital Culture with Science Fiction: Hyper-Modernism, Hyperreality, and Posthumanism by Alan N. Shapiro (review)", "user" : "iris", "description" : "", "date" : "2025-11-27 13:58:37", "changeDate" : "2025-11-27 13:58:37", "count" : 2, "pub-type": "misc", "journal": "Science Fiction Film and Television","publisher":"Liverpool University Press", "year": "2025", "url": "https://muse.jhu.edu/pub/105/article/974211", "author": [ "Curtis Runstedler" ], "authors": [ {"first" : "Curtis", "last" : "Runstedler"} ], "volume": "18","number": "2","pages": "279--282", "issn" : "17543789", "comment" : "Volume 18, Issue 2, Summer 2025
", "bibtexKey": "runstedler2025bridecoding" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/25571020c3c79575ae5488cf92283ce6a/dr_c_sindermann", "tags" : [ "disinhibition","internet","iris","myown" ], "intraHash" : "5571020c3c79575ae5488cf92283ce6a", "interHash" : "ba0ffc414222d4da9b50a272ca52fa30", "label" : "Toxic disinhibition makes a versatile rulebreaker in cyberspace: Mapping online deviance with exploratory graph analysis and structural equation modeling", "user" : "dr_c_sindermann", "description" : "", "date" : "2025-11-18 15:43:31", "changeDate" : "2025-11-18 15:43:31", "count" : 2, "pub-type": "article", "journal": "Acta Psychologica","publisher":"Elsevier BV", "year": "2025", "url": "http://dx.doi.org/10.1016/j.actpsy.2025.105542", "author": [ "Helena Sophia Schmitt","Cornelia Sindermann","Christian Montag" ], "authors": [ {"first" : "Helena Sophia", "last" : "Schmitt"}, {"first" : "Cornelia", "last" : "Sindermann"}, {"first" : "Christian", "last" : "Montag"} ], "volume": "260","pages": "105542", "issn" : "0001-6918", "doi" : "10.1016/j.actpsy.2025.105542", "bibtexKey": "Schmitt_2025" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2dbd1f49dd8acf129b02389138c91f784/falenska", "tags" : [ "danis","iris","iris3d","myown" ], "intraHash" : "dbd1f49dd8acf129b02389138c91f784", "interHash" : "861ab1ac01da1b780f7c5ae858f730f7", "label" : "AI Argues Differently: Distinct Argumentative and Linguistic Patterns of LLMs in Persuasive Contexts", "user" : "falenska", "description" : "", "date" : "2025-11-14 13:11:01", "changeDate" : "2025-11-14 13:11:01", "count" : 2, "pub-type": "inproceedings", "booktitle": "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","publisher":"Association for Computational Linguistics","address":"Suzhou, China", "year": "2025", "url": "https://aclanthology.org/2025.emnlp-main.1755/", "author": [ "Esra Dönmez","Maximilian Maurer","Gabriella Lapesa","Agnieszka Falenska" ], "authors": [ {"first" : "Esra", "last" : "Dönmez"}, {"first" : "Maximilian", "last" : "Maurer"}, {"first" : "Gabriella", "last" : "Lapesa"}, {"first" : "Agnieszka", "last" : "Falenska"} ], "editor": [ "Christos Christodoulopoulos","Tanmoy Chakraborty","Carolyn Rose","Violet Peng" ], "editors": [ {"first" : "Christos", "last" : "Christodoulopoulos"}, {"first" : "Tanmoy", "last" : "Chakraborty"}, {"first" : "Carolyn", "last" : "Rose"}, {"first" : "Violet", "last" : "Peng"} ], "pages": "34583--34614", "isbn" : "979-8-89176-332-6", "doi" : "10.18653/v1/2025.emnlp-main.1755", "bibtexKey": "donmez-etal-2025-ai" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2dbd1f49dd8acf129b02389138c91f784/iris", "tags" : [ "iris","iris3d" ], "intraHash" : "dbd1f49dd8acf129b02389138c91f784", "interHash" : "861ab1ac01da1b780f7c5ae858f730f7", "label" : "AI Argues Differently: Distinct Argumentative and Linguistic Patterns of LLMs in Persuasive Contexts", "user" : "iris", "description" : "", "date" : "2025-11-14 13:11:01", "changeDate" : "2025-11-14 13:11:01", "count" : 2, "pub-type": "inproceedings", "booktitle": "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","publisher":"Association for Computational Linguistics","address":"Suzhou, China", "year": "2025", "url": "https://aclanthology.org/2025.emnlp-main.1755/", "author": [ "Esra Dönmez","Maximilian Maurer","Gabriella Lapesa","Agnieszka Falenska" ], "authors": [ {"first" : "Esra", "last" : "Dönmez"}, {"first" : "Maximilian", "last" : "Maurer"}, {"first" : "Gabriella", "last" : "Lapesa"}, {"first" : "Agnieszka", "last" : "Falenska"} ], "editor": [ "Christos Christodoulopoulos","Tanmoy Chakraborty","Carolyn Rose","Violet Peng" ], "editors": [ {"first" : "Christos", "last" : "Christodoulopoulos"}, {"first" : "Tanmoy", "last" : "Chakraborty"}, {"first" : "Carolyn", "last" : "Rose"}, {"first" : "Violet", "last" : "Peng"} ], "pages": "34583--34614", "isbn" : "979-8-89176-332-6", "doi" : "10.18653/v1/2025.emnlp-main.1755", "bibtexKey": "donmez-etal-2025-ai" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/29b713910709f1989eae10ca4c45b914d/falenska", "tags" : [ "danis","iris","iris3d","myown" ], "intraHash" : "9b713910709f1989eae10ca4c45b914d", "interHash" : "b17215b79e49f66eb552048b749cd4eb", "label" : "``Feels Feminine to Me'': Understanding Perceived Gendered Style through Human Annotations", "user" : "falenska", "description" : "", "date" : "2025-11-14 13:08:25", "changeDate" : "2025-11-14 13:08:25", "count" : 2, "pub-type": "inproceedings", "booktitle": "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","publisher":"Association for Computational Linguistics","address":"Suzhou, China", "year": "2025", "url": "https://aclanthology.org/2025.emnlp-main.1602/", "author": [ "Hongyu Chen","Neele Falk","Michael Roth","Agnieszka Falenska" ], "authors": [ {"first" : "Hongyu", "last" : "Chen"}, {"first" : "Neele", "last" : "Falk"}, {"first" : "Michael", "last" : "Roth"}, {"first" : "Agnieszka", "last" : "Falenska"} ], "editor": [ "Christos Christodoulopoulos","Tanmoy Chakraborty","Carolyn Rose","Violet Peng" ], "editors": [ {"first" : "Christos", "last" : "Christodoulopoulos"}, {"first" : "Tanmoy", "last" : "Chakraborty"}, {"first" : "Carolyn", "last" : "Rose"}, {"first" : "Violet", "last" : "Peng"} ], "pages": "31447--31468", "isbn" : "979-8-89176-332-6", "doi" : "10.18653/v1/2025.emnlp-main.1602", "bibtexKey": "chen-etal-2025-feels" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/29b713910709f1989eae10ca4c45b914d/iris", "tags" : [ "iris","iris3d" ], "intraHash" : "9b713910709f1989eae10ca4c45b914d", "interHash" : "b17215b79e49f66eb552048b749cd4eb", "label" : "``Feels Feminine to Me'': Understanding Perceived Gendered Style through Human Annotations", "user" : "iris", "description" : "", "date" : "2025-11-14 13:08:25", "changeDate" : "2025-11-14 13:08:25", "count" : 2, "pub-type": "inproceedings", "booktitle": "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","publisher":"Association for Computational Linguistics","address":"Suzhou, China", "year": "2025", "url": "https://aclanthology.org/2025.emnlp-main.1602/", "author": [ "Hongyu Chen","Neele Falk","Michael Roth","Agnieszka Falenska" ], "authors": [ {"first" : "Hongyu", "last" : "Chen"}, {"first" : "Neele", "last" : "Falk"}, {"first" : "Michael", "last" : "Roth"}, {"first" : "Agnieszka", "last" : "Falenska"} ], "editor": [ "Christos Christodoulopoulos","Tanmoy Chakraborty","Carolyn Rose","Violet Peng" ], "editors": [ {"first" : "Christos", "last" : "Christodoulopoulos"}, {"first" : "Tanmoy", "last" : "Chakraborty"}, {"first" : "Carolyn", "last" : "Rose"}, {"first" : "Violet", "last" : "Peng"} ], "pages": "31447--31468", "isbn" : "979-8-89176-332-6", "doi" : "10.18653/v1/2025.emnlp-main.1602", "bibtexKey": "chen-etal-2025-feels" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/21dc777855054c839a84a9170fe2b7ed5/gron", "tags" : [ "ai","icd","intcdc","iris","iris3d","irissrf","mac","myown","peer" ], "intraHash" : "1dc777855054c839a84a9170fe2b7ed5", "interHash" : "ce844b59b6ef78379c781382b26279e4", "label" : "Sensor-Driven Human\u2013Robot Collaboration for Timber Assembly:\r\nA Cyber-Physical Approach Tested with Diverse Participants", "user" : "gron", "description" : "", "date" : "2025-10-22 10:27:30", "changeDate" : "2026-01-14 17:58:30", "count" : 6, "pub-type": "inproceedings", "booktitle": "Proceedings of the 37th Australian Conference on Human-Computer Interaction (HCI) (OZCHI '25), November 29--December 03, 2025, Sydney, Australia","publisher":"ACM", "year": "2025", "url": "", "author": [ "Gili Ron","Amelie Schreck","Cordula Kropp","Achim Menges","Thomas Wortmann" ], "authors": [ {"first" : "Gili", "last" : "Ron"}, {"first" : "Amelie", "last" : "Schreck"}, {"first" : "Cordula", "last" : "Kropp"}, {"first" : "Achim", "last" : "Menges"}, {"first" : "Thomas", "last" : "Wortmann"} ], "editor": [ "Glenda Caldwell","Benjamin Tag","Josh Andres" ], "editors": [ {"first" : "Glenda", "last" : "Caldwell"}, {"first" : "Benjamin", "last" : "Tag"}, {"first" : "Josh", "last" : "Andres"} ], "abstract": "This paper presents a human-centered cyber-physical system integrating gesture recognition, depth sensing, and motion sensing to support human\u2013robot collaboration (HRC) in timber assembly. The system enables users to control cobots on demand, adapts cobot trajectories to workspace changes, and ensures safety through motion-triggered stops, while a visual interface displays real-time sensor data and planned actions. We evaluated the system in a small-scale timber assembly study with 21 participants\u2014Novice Academics, Experienced Academics, and Novice Professionals\u2014performing assembly tasks under three modes: Human Agency (gesture control), Robot Agency (autonomous sensing), and Combined Agency (integrated).\r\n\r\nResults show that gesture control achieved the highest perceived usability and the lowest mental and physical demand, whereas autonomous sensing produced the fastest completion times (median 6.02 min). The combined mode, intended to merge both paradigms, paradoxically led to slower performance (median 10.15 min) and higher cognitive load, as users had to coordinate overlapping control schemes. Although some task-time data for professionals were unavailable, qualitative feedback revealed consistent trends: academics valued autonomy and transparency, while professionals prioritized safety and reliability.\r\n\r\nThese findings highlight that user background profoundly shapes collaboration preferences and that flexible interfaces\u2014allowing adjustable safety thresholds, feedback modes, and levels of autonomy\u2014are essential for effective and inclusive HRC design in construction contexts.", "venue" : "The University of Sydney, Darlington NSW", "isbn" : "979-8-4007-2016-1/25/11", "language" : "eng", "eventdate" : "November 29--December 03, 2025", "eventtitle" : "OZCHI '25: The 37th Australian Conference on Human-Computer Interaction (HCI)", "doi" : "10.1145/3764687.3769950", "bibtexKey": "noauthororeditor" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/21dc777855054c839a84a9170fe2b7ed5/iris", "tags" : [ "srf_iris","iris","iris3d","IRIS" ], "intraHash" : "1dc777855054c839a84a9170fe2b7ed5", "interHash" : "ce844b59b6ef78379c781382b26279e4", "label" : "Sensor-Driven Human\u2013Robot Collaboration for Timber Assembly:\r\nA Cyber-Physical Approach Tested with Diverse Participants", "user" : "iris", "description" : "", "date" : "2025-10-22 10:27:30", "changeDate" : "2026-01-14 17:58:30", "count" : 6, "pub-type": "inproceedings", "booktitle": "Proceedings of the 37th Australian Conference on Human-Computer Interaction (HCI) (OZCHI '25), November 29--December 03, 2025, Sydney, Australia","publisher":"ACM", "year": "2025", "url": "", "author": [ "Gili Ron","Amelie Schreck","Cordula Kropp","Achim Menges","Thomas Wortmann" ], "authors": [ {"first" : "Gili", "last" : "Ron"}, {"first" : "Amelie", "last" : "Schreck"}, {"first" : "Cordula", "last" : "Kropp"}, {"first" : "Achim", "last" : "Menges"}, {"first" : "Thomas", "last" : "Wortmann"} ], "editor": [ "Glenda Caldwell","Benjamin Tag","Josh Andres" ], "editors": [ {"first" : "Glenda", "last" : "Caldwell"}, {"first" : "Benjamin", "last" : "Tag"}, {"first" : "Josh", "last" : "Andres"} ], "abstract": "This paper presents a human-centered cyber-physical system integrating gesture recognition, depth sensing, and motion sensing to support human\u2013robot collaboration (HRC) in timber assembly. The system enables users to control cobots on demand, adapts cobot trajectories to workspace changes, and ensures safety through motion-triggered stops, while a visual interface displays real-time sensor data and planned actions. We evaluated the system in a small-scale timber assembly study with 21 participants\u2014Novice Academics, Experienced Academics, and Novice Professionals\u2014performing assembly tasks under three modes: Human Agency (gesture control), Robot Agency (autonomous sensing), and Combined Agency (integrated).\r\n\r\nResults show that gesture control achieved the highest perceived usability and the lowest mental and physical demand, whereas autonomous sensing produced the fastest completion times (median 6.02 min). The combined mode, intended to merge both paradigms, paradoxically led to slower performance (median 10.15 min) and higher cognitive load, as users had to coordinate overlapping control schemes. Although some task-time data for professionals were unavailable, qualitative feedback revealed consistent trends: academics valued autonomy and transparency, while professionals prioritized safety and reliability.\r\n\r\nThese findings highlight that user background profoundly shapes collaboration preferences and that flexible interfaces\u2014allowing adjustable safety thresholds, feedback modes, and levels of autonomy\u2014are essential for effective and inclusive HRC design in construction contexts.", "venue" : "The University of Sydney, Darlington NSW", "isbn" : "979-8-4007-2016-1/25/11", "language" : "eng", "eventdate" : "November 29--December 03, 2025", "eventtitle" : "OZCHI '25: The 37th Australian Conference on Human-Computer Interaction (HCI)", "doi" : "10.1145/3764687.3769950", "bibtexKey": "noauthororeditor" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2d3a7267cfa98350b352fdcd35956fd37/iris", "tags" : [ "iris" ], "intraHash" : "d3a7267cfa98350b352fdcd35956fd37", "interHash" : "e79bdde8d5a0795b32b7abed0cbae94f", "label" : "On the Collaboration Between Robots and Humans: a Conversation with Gili Ron and Thomas Wortmann", "user" : "iris", "description" : "BauNetz, Woche #622: KÜNSTLICHE INTELLIGENZ IN DER ARCHITEKTURPRODUKTION. ", "date" : "2025-10-16 16:36:37", "changeDate" : "2025-10-16 16:36:39", "count" : 4, "pub-type": "misc", "year": "2023", "url": "https://www.baunetz.de/baunetzwoche/baunetzwoche_ausgabe_8266279.html", "author": [ "Friederike Meyer","Sophie Marthe" ], "authors": [ {"first" : "Friederike", "last" : "Meyer"}, {"first" : "Sophie", "last" : "Marthe"} ], "editor": [ "Friederike Meyer" ], "editors": [ {"first" : "Friederike", "last" : "Meyer"} ], "abstract": "Zur Zusammenarbeit von Robotern und Menschen : Gespräch mit Gili Ron und Thomas Wortmann, Universität Stuttgart\", In: BauNetz, Woche #622: \u201EKÜNSTLICHE INTELLIGENZ IN DER ARCHITEKTURPRODUKTION\u201C, pp 13-19", "language" : "German", "bibtexKey": "meyer2023collaboration" } ] }