“Antisocial Today and Also Always”?: A Qualitative Examination of Engineering Students’ Social Considerations in Robot Design for Healthcare

Abstract In this article, we investigate influences of social positionality, designer bias and educational exposure on algorithmic design in healthcare. Against the backdrop of literature on designer bias that points to how it contributes to disproportionate, discriminatory and unethical impacts for racialized and gendered bodies, this study tests this argument with an experiential case study involving Aldebaran’s NAO robot and mechatronics and robotics engineering students at a university in S. E. Ontario, Canada. To conduct the study, we adopted open-ended and semi-structured interviews. The study sought to address questions such as: what other social agents – besides engineers – are/should be involved in design? To what extent do engineers collaborate with other knowledge holders? From students’ point of view, how does engineering education prepare them to tackle ethical and social problems in design? Because of the small sample size, the intention is not to extrapolate beyond the data in this study but for the data to serve exploratory purposes in pursuit of further research.

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Publication Details

Journal
Science and Engineering Ethics
Published
2026-07-24
DOI
https://doi.org/10.1007/s11948-026-00610-2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

“Antisocial Today and Also Always”?: A Qualitative Examination of Engineering Students’ Social Considerations in Robot Design for Healthcare

Amy R. Wu, Sachil Singh
Science and Engineering Ethics
Ethics and Social Impacts of AI
article

“Antisocial Today and Also Always”?: A Qualitative Examination of Engineering Students’ Social Considerations in Robot Design for Healthcare

Amy R. Wu, Sachil Singh
article en

Abstract

Abstract In this article, we investigate influences of social positionality, designer bias and educational exposure on algorithmic design in healthcare. Against the backdrop of literature on designer bias that points to how it contributes to disproportionate, discriminatory and unethical impacts for racialized and gendered bodies, this study tests this argument with an experiential case study involving Aldebaran’s NAO robot and mechatronics and robotics engineering students at a university in S. E. Ontario, Canada. To conduct the study, we adopted open-ended and semi-structured interviews. The study sought to address questions such as: what other social agents – besides engineers – are/should be involved in design? To what extent do engineers collaborate with other knowledge holders? From students’ point of view, how does engineering education prepare them to tackle ethical and social problems in design? Because of the small sample size, the intention is not to extrapolate beyond the data in this study but for the data to serve exploratory purposes in pursuit of further research.

Science and Engineering Ethics
York University (CA), Queen's University (CA)
Reduced inequalities
Openalex Percentile: Top 6%
Ethics and Social Impacts of AI
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