Browsing by Author "Baumann, Martin"
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- Jarvis in the car: Report on characterizing and designing in-vehicle intelligent agents workshopWang, Manhua; Hock, Phillip; Chan Lee, Seul; Baumann, Martin; Jeon, Myounghoon (SAGE, 2022-10-27)As intelligent agents have become more popular at home, they have been progressively introduced into driving environments. Although previous research has discussed agent features and their effects on driver perception and performance, attributes that define in-vehicle agents and distinguish them from other intelligent agents have not been discussed clearly. Thus, we organized a workshop on characterizing and designing in-vehicle intelligent agents at the 13th International Conference on Automotive User Interfaces (AutoUI 2021). In this report, we integrated ideas generated during the workshop and identified user-centered action and autonomy as two attributes that define an agent, with functions and features as specific characteristics that vary agent design. The outcomes of this workshop can facilitate in-vehicle intelligent agent design and deliver optimal user experience, while providing insights on manipulating variables in controlled studies.
- What Do You Want for In-Vehicle Agents? One Fits All vs. Multiple Specialized AgentsPark, Se Hyeon; Lee, Seul Chan; Wang, Manhua; Hock, Philipp; Baumann, Martin; Jeon, Myounghoon (ACM, 2022-09-17)It is expected that in-vehicle intelligent agents (IVIAs) become an important user interface in automated driving, and much research on how to design IVIAs considering user needs and scenarios has been conducted. The question arising here is whether people want to have one almighty agent connecting to all user's data sources and dealing with all situations, including driving contexts. Another plausible form is multiple specialized agents that play the role only in each task context. As a first step in answering the question, we developed two plausible scenarios of interacting with IVIAs and presented the video. In both scenarios, a user of IVIAs experiences embarrassing situations because of the connectivity of IVIAs. We expect that this effort can be a starting point to understand users' needs and requirements to develop and design IVIAs in terms of connectivity.