Babyface

Ladenheim, Kate; LaViers, Amy

doi:10.1145/3401956.3404253

Cited by 2 publications

(1 citation statement)

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“…HRI researchers, especially feminist scholars and those invested in anti-racism work [21][22][23][24], have also echoed these concerns and produced artistic and academic work highlighting and tackling matters of identity and power with and through robots. Ladenheim and LaViers [25,26], for instance, used a performance art approach to explore and provoke critical engagement with the feminine in the machine-how robots designed like human women do little more than reinforce stereotypes. Indeed, within and outside of HRI research, a range of critical voices have raised the alarm and provided evidence for oddities outside of the realm of WEIRD sampling.…”

Section: Introductionmentioning

confidence: 99%

Not Only WEIRD but “Uncanny”? A Systematic Review of Diversity in Human–Robot Interaction Research

Seaborn

Barbareschi

Chandra

2023

Int J of Soc Robotics

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Critical voices within and beyond the scientific community have pointed to a grave matter of concern regarding who is included in research and who is not. Subsequent investigations have revealed an extensive form of sampling bias across a broad range of disciplines that conduct human subjects research called “WEIRD”: Western, Educated, Industrial, Rich, and Democratic. Recent work has indicated that this pattern exists within human–computer interaction (HCI) research, as well. How then does human–robot interaction (HRI) fare? And could there be other patterns of sampling bias at play, perhaps those especially relevant to this field of study? We conducted a systematic review of the premier ACM/IEEE International Conference on Human-Robot Interaction (2006–2022) to discover whether and how WEIRD HRI research is. Importantly, we expanded our purview to other factors of representation highlighted by critical work on inclusion and intersectionality as potentially underreported, overlooked, and even marginalized factors of human diversity. Findings from 827 studies across 749 papers confirm that participants in HRI research also tend to be drawn from WEIRD populations. Moreover, we find evidence of limited, obscured, and possible misrepresentation in participant sampling and reporting along key axes of diversity: sex and gender, race and ethnicity, age, sexuality and family configuration, disability, body type, ideology, and domain expertise. We discuss methodological and ethical implications for recruitment, analysis, and reporting, as well as the significance for HRI as a base of knowledge.

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