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

被引:8
|
作者
Winkle, Katie [1 ,5 ]
Lagerstedt, Erik [2 ,6 ]
Torre, Ilaria [3 ,7 ]
Offenwanger, Anna [4 ,8 ]
机构
[1] Uppsala Univ, Uppsala, Sweden
[2] Univ Skovde, Skovde, Sweden
[3] KTH Royal Inst Technol, Stockholm, Sweden
[4] Univ Paris Saclay, CNRS, Inria, LISN, Paris, France
[5] Uppsala Univ, Lagerhyddsvagen 1, S-75237 Uppsala, Uppland, Sweden
[6] Univ Skovde, Hogskolevagen 1, S-54146 Skovde, Vastra Gotaland, Sweden
[7] KTH Royal Inst Technol, Brinellvagen 8, S-11428 Stockholm, Uppland, Sweden
[8] Univ Paris Saclay, CNRS, Inria, LISN, Rue Belvedere, F-91400 Orsay, France
关键词
Gender; systematic review; user study methodologies; participant recruitment; inclusivity; GENDER; DIVERSITY; SCIENCE; SEX; TRANSGENDER; STEREOTYPES; FRAMEWORK;
D O I
10.1145/3571718
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
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.
引用
收藏
页数:28
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