2 research outputs found
Social Agents for Teamwork and Group Interactions (Dagstuhl Seminar 19411)
This report documents the program and the outcomes of Dagstuhl Seminar 19411 "Social Agents for Teamwork and Group Interactions". It summarises the three talks that were held during the seminar on three different perspectives: the impact of robots in human teamwork, mechanisms to support group interactions in virtual settings, and affect analysis in human-robot group settings. It also details the considerations of six working groups covering the following topics: datasets, design, team dynamics, social cognition, scenarios, and social behaviours
New paradigmatic orientations and research agenda of human factors science in the intelligence era
Our recent research shows that the design philosophy of human factors science
in the intelligence age is expanding from "user-centered design" to
"human-centered AI". The human-machine relationship presents a trans-era
evolution from "human-machine interaction" to "human-machine/AI teaming". These
changes have raised new questions and challenges for human factors science. The
interdisciplinary field of human factors science includes any work that adopts
a human-centered approach, such as human factors, ergonomics, engineering
psychology, and human-computer interaction. These changes compel us to
re-examine current human factors science's paradigms and research agenda.
Existing research paradigms are primarily based on non-intelligent
technologies. In this context, this paper reviews the evolution of the
paradigms of human factors science. It summarizes the new conceptual models and
frameworks we recently proposed to enrich the research paradigms for human
factors science, including a human-AI teaming model, a human-AI joint cognitive
ecosystem framework, and an intelligent sociotechnical systems framework. This
paper further enhances these concepts and looks forward to the application of
these concepts. This paper also looks forward to the future research agenda of
human factors science in the areas of "human-AI interaction", "intelligent
human-machine interface", and "human-AI teaming". It analyzes the role of the
research paradigms on the future research agenda. We believe that the research
paradigms and agenda of human factors science influence and promote each other.
Human factors science in the intelligence age needs diversified and innovative
research paradigms, thereby further promoting the research and application of
human factors science.Comment: 26 pages, in Chinese languag