As robots enter more and more areas of everyday life, it becomes necessary for them to interact in an understandable and trustworthy way. In many regards this requires a human-like interaction pattern. This research investigates the influence of gender stereotypes on trust and likability of humanoid robots. In this endeavor, explicit (name and voice) and implicit gender (personality) of robots have been manipulated along with the stereotypicality of a task. 40 participants interacted with a NAO robot to gain feedback on a task they were working on and rated the perception of the robot cooperation partner. While no gender stereotypes were found for the explicit gender, implicit gender showed a strong effect on trust and likability in the stereotypical male task. Participants trusted the male robot more and rated it as more reliable and competent than the female personality robot, while the female robot was perceived as more likable. These findings indicate that for gender stereotypes in robot interaction a differentiation between explicit and implicit stereotypical features have to be drawn and that the task context needs consideration. Future research may look into situational variables that drive stereotypification in human-robot interaction.
@InProceedings{KRAUS18.824, author = {Matthias Kraus and Johannes Kraus and Martin Baumann and Wolfgang Minker}, title = "{Effects of Gender Stereotypes on Trust and Likability in Spoken Human-Robot Interaction}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
Summary of the paper