- Award ID(s):
- 1909847
- NSF-PAR ID:
- 10312684
- Date Published:
- Journal Name:
- AAAI Fall Symposium on AI-for-HRI
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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In this work, we present Robots for Social Justice (R4SJ): a framework for an equitable engineering practice of Human-Robot Interaction, grounded in the Engineering for Social Justice (E4SJ) framework for Engineering Education and intended to complement existing frameworks for guiding equitable HRI research. To understand the new insights this framework could provide to the field of HRI, we analyze the past decade of papers published at the ACM/IEEE International Conference on Human-Robot Interaction, and examine how well current HRI research aligns with the principles espoused in the E4SJ framework. Based on the gaps identified through this analysis, we make five concrete recommendations, and highlight key questions that can guide the introspection for engineers, designers, and researchers. We believe these considerations are a necessary step not only to ensure that our engineering education efforts encourage students to engage in equitable and societally beneficial engineering practices (the purpose of E4SJ), but also to ensure that the technical advances we present at conferences like HRI promise true advances to society, and not just to fellow researchers and engineers.more » « less
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Abstract Background Although engineering practice occurs in social contexts, such contexts often remain obscure in engineering education. Since engineering sciences courses are crucial in shaping engineering students' knowledge and conceptions of problem‐solving in engineering, students in both an augmented and a traditional section of a feedback control systems course were interviewed to explore perceptions of the social justice dimensions of engineering.
Purpose This study sought to understand student perceptions of social justice in the context of control systems courses.
Design/Method This study used a qualitative, case study methodology. Inductive analysis was used to analyze focus groups and interviews conducted over 3 years.
Findings Through inductive analysis, we identified three primary interrelated domains: (1) varied descriptions of social justice emerged, (2) diverse perceptions surfaced on how the social and technical dimensions of engineering problems interrelate, and (3) students' conceptions of engineers yielded insight into their perspectives on social justice.
Conclusions That students did not vary substantively in perceptions of social justice across course sections suggests that prior knowledge of social justice shaped student perceptions. The findings also indicate that what students value shapes what they are learning and that student perceptions were informed by students' understanding of ethics and of engineering ideologies. These findings imply a need for distributed curricular integration of social justice concepts and for presenting social justice in the context of engineering problem‐solving. Such presentation could reinforce sociotechnical considerations inherent in engineering practice, clearly rendering visible inherent social justice considerations in engineering problems.
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