Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 18th Apr 2026, 03:58:25pm CEST
|
Agenda Overview |
| Session | ||
D423: HUMAN–AI INTERACTION AND COMMUNICATION IN ENGINEERING DESIGN
| ||
    | ||
Verbal communication in synchronous collaborative CAD activities: empirical evidence from AI-supported teams University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, Croatia This study examines how ChatGPT support influences verbal communication in synchronous collaborative CAD activities. Using a verbal protocol analysis of teams solving an embodiment design task, the results show that ChatGPT-supported teams communicated less, devoted less verbal communication to problem- and analysis-related communication, and shifted toward process and solution synthesis, indicating a shortened design co-evolution cycle in which teams move more quickly toward generating solutions. Future work should integrate these findings with broader teamwork and taskwork analyses. How would engineers use LLMs for assembly search if they could? – An empirical study for fostering generative AI-driven design reuse in the future 1University of Stuttgart, Germany; 2Robert Bosch Manufacturing Solutions GmbH, Germany This study examines how engineers formulate natural language prompts for searching existing assemblies in mechanical design. A survey with 48 engineers produced 169 prompts for different assemblies. Results show that prompts are mostly written as bullet points with an average of three and up to seven requirements. The engineers describe assemblies mainly through implicit functional descriptions and geometric or physical parameters. These findings form an empirical basis for developing generative AI-driven, prompt-based systems to foster design reuse. Engineering design through dialogue: a method for analysing speech-based human-AI conversation University of Strathclyde, United Kingdom Speech-capable AI systems introduce new possibilities for communication and collaboration in design, yet methods for analysing human-AI interactions through speech remain limited. This paper proposes and applies a method for analysing conversational interactions in speech-based human-AI design activity. Grounded in conversation analysis, this method reveals how conversational structure and designer roles emerge through spoken interaction, offering an analytical framework for examining communication, cognition, and collaboration in design. Design and evaluation of an AI-based application to enhance creativity in design thinking workshops 1Ritsumeikan University, Japan; 2Smart Process Co., Ltd., Japan We designed and evaluated an AI-based Application to enhance human creativity in design thinking workshops. The results indicated that AI hindered human creativity, resulting in fewer idea generations. The findings from quantitative and qualitative analyses comparing the only-human and human-AI teams indicated that AI contributed to the usability of ideas during the divergent phase and supported humans in converging on more novel ideas. The further development of the application is necessary to consider how humans can collaborate with AI without relying on it. | ||
