Department of Management

The Influence of Gender Bias on Task-Specific Smart Appliances

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Users interact with technology in a stereotypical manner, expecting from it, what one expects from a person. We report 3 studies. In study 1 we find that dual-gender has the highest perceived suitability. In study 2 we find that users hold stereotypic assumptions for machine tasks. In study 3, we investigate the implications of switching gender in objective and subjective machine tasks. Ingraining stereotypical traits and attributes into technological systems may exacerbate stereotype segregation, but might lead to more trusted systems and objects because they provide users with what they are used to.
Original languageEnglish
Publication year2020
Publication statusPublished - 2020
EventRobo-Philosophy 2020: Culturally Sustainable Social Robotics - Aarhus University, Aarhus, Denmark
Duration: 18 Aug 202020 Aug 2020


ConferenceRobo-Philosophy 2020
LocationAarhus University
Internet address

    Research areas

  • Gender bias, artificial intelligence, smart appliances, STEREOTYPES, TECHNOLOGY

See relations at Aarhus University Citationformats

ID: 195485229