Beyond empathy: Role-Taking as a structural approach to participatory design

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Abstract

Empathy is a driving force in human computer interaction (HCI), underpinning a vast corpus of HCI co-design methods. Yet, empathy is limited, and limiting, due to its individualizing focus. Expanding empathy beyond the individual entails more than a revised emphasis, but a structural approach that exceeds empathy's scope. I suggest role-Taking as a more apt orienting construct. Rooted in psychology, empathy centers individuals and their inner lives. In contrast, the sociological process of role-Taking is fundamentally structural, based on interrelated role-positions that constitute a social whole. Not only does role-Taking broaden HCI and user-experience research beyond individual social actors within specified situations, but also enhances attention to the structural variables of status and power that infuse microprocesses. As applied to HCI, role-Taking anchors participatory methods that attend to diverse user-publics, especially those from minoritized and underrepresented groups. I thus argue that role-Taking is preferable to empathy as a theoretical scaffold for participatory co-design within HCI research and practice. The case for role-Taking begins with a summary of this construct as used in sociology and beyond, tracing its theoretical and empirical developments. These developments include a theoretical model in which empathy is one component part, and empirical evidence about status and power. This backdrops a review of empathy within the HCI tradition, a critical examination of select empathy-focused co-design methods, and a reimagining of those methods through a role-Taking prism. This analytic exercise highlights role-Taking's twofold value-Add for HCI: enhanced precision and concerted attention to social hierarchies within the co-design process.

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APA

Davis, J. L. (2024). Beyond empathy: Role-Taking as a structural approach to participatory design. In ACM International Conference Proceeding Series (pp. 46–51). Association for Computing Machinery. https://doi.org/10.1145/3661790.3661800

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