Manja Lohse

TL;DR: How the SPENCER project advances the fields of detection and tracking of individuals and groups, recognition of human social relations and activities, normative human behavior learning, socially-aware task and motion planning, learning socially annotated maps, and conducting empirical experiments to assess socio-psychological effects of normative robot behaviors is described.

TL;DR: In this paper, the authors argue that what is considered an appropriate personality for a robot depends on the task context and that robot behaviors likely need to be adapted not in complimentary or similarity to the users' personality but to users' expectations about what kind of personality and behaviors are consistent with such a task or role.

TL;DR: This work suggests that there are still unknown application fields that are suitable for existing robots and suggests that strong differences between zoomorphic robots like AIBO and iCat and other robots like BIRON and BARTHOC should be found.

TL;DR: In this article, the authors present a study on the effect of two different social characters of a robot (peer vs. tutor) on children's task engagement and show that in the peer condition, children paid attention to the robot and the task for a longer period of time and solved the puzzles quicker and better than in the tutor character condition.

TL;DR: It is found that participants’ reactions were stronger when their personal space was invaded by a robot compared with a person, which points to the fact that humans are actually highly sensible whether robots’ adhere to social norms which underlines the importance of the BEHAVE-II instrument.