@inproceedings{0af6504f8d0e43db9a96cedf1f1a0870,
title = "Investigating gender-stereotyped interactions with virtual agents in public spaces",
abstract = "Current research on the impact of gender appearance in virtual agents and social robots highlights the danger of transmitting and solidifying existing gender stereotypes. To investigate gender-stereotyped interaction at public spaces in dependency of virtual agents gender, we varied the gender of a virtual agent at a metro station. We used an ethnographic study approach, combining a two-day behavior observation with semi-structured interviews with descriptive and qualitative system log analysis of four weeks. Our results show that topics of conversation differ in dependency of the virtual agents gender: the male virtual agent was asked about topics such as brothels, drugs and alcohol and insulted frequently, while the female one was asked for relationship status or about flirting.",
keywords = "feminist HCI, gender stereotyping, public spaces, virtual agent",
author = "Ana Muller and Lydia Penkert and Sebastian Schneider and Anja Richert",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022 ; Conference date: 29-08-2022 Through 02-09-2022",
year = "2022",
doi = "10.1109/RO-MAN53752.2022.9900529",
language = "English",
series = "RO-MAN 2022 - 31st IEEE International Conference on Robot and Human Interactive Communication: Social, Asocial, and Antisocial Robots",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1592--1597",
booktitle = "RO-MAN 2022 - 31st IEEE International Conference on Robot and Human Interactive Communication",
address = "United States",
}