15 Years of (Who)man Robot Interaction: Reviewing the H in Human-Robot Interaction

Author:

Winkle Katie1ORCID,Lagerstedt Erik2ORCID,Torre Ilaria3ORCID,Offenwanger Anna4ORCID

Affiliation:

1. Uppsala Universitet, Uppsala, Uppland, Sweden

2. University of Skövde, Skövde, Västra Götaland, Sweden

3. KTH Royal Institute of Technology, Stockholm, Uppland, Sweden

4. Université Paris-Saclay, CNRS, Inria, LISN, Île-de-France, France

Abstract

Recent work identified a concerning trend of disproportional gender representation in research participants in Human–Computer Interaction (HCI). Motivated by the fact that Human–Robot Interaction (HRI) shares many participant practices with HCI, we explored whether this trend is mirrored in our field. By producing a dataset covering participant gender representation in all 684 full papers published at the HRI conference from 2006–2021, we identify current trends in HRI research participation. We find an over-representation of men in research participants to date, as well as inconsistent and/or incomplete gender reporting, which typically engages in a binary treatment of gender at odds with published best practice guidelines. We further examine if and how participant gender has been considered in user studies to date, in-line with current discourse surrounding the importance and/or potential risks of gender based analyses. Finally, we complement this with a survey of HRI researchers to examine correlations between who is doing with the who is taking part, to further reflect on factors which seemingly influence gender bias in research participation across different sub-fields of HRI. Through our analysis, we identify areas for improvement, but also reason for optimism, and derive some practical suggestions for HRI researchers going forward.

Funder

Digital Futures Research Centre

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

Reference93 articles.

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3. Veronica Ahlqvist, Winnie Birberg, Magnus Lagerholm, Anders Sundin, Carl Sundström, and Lisbeth Söderqvist. 2020. Uppföljning av Vetenskapsrådets Implementering av köns- och genusperspektiv i forskningens innehåll. Memorandum Dnr 3.3-2018-05687. Swedish Research Council. Retrieved from https://www.vr.se/analys/rapporter/vara-rapporter/2020-02-06-uppfoljning-av-vetenskapsradets-implementering-av-kons--och-genusperspektiv-i-forskningens-innehall.html.

4. The Effect of Field-of-View Restriction on Sex Bias in VR Sickness and Spatial Navigation Performance

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