Mutual Shaping in the Design of Socially Assistive Robots

A Case Study on Social Robots for Therapy

Datos Bibliográficos

ID8089261
AutoresKatie Winkle (0000-0002-3309-3552, autor de correspondencia), Praminda Caleb-Solly (0000-0001-8821-0464), Ailie Turton (0000-0003-3683-1861), Paul Bremner (0000-0001-7716-5100)
Año2019
Volumen12
Número4
Páginas847-866
Fecha de publicación2019-03-07
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Social Robotics (JOURNAL)
Identificadores de la revistaISSN: 1875-4791 • E-ISSN: 1875-4805
EditorialSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s12369-019-00536-9
OpenAlexW2922319734
IdiomaEN
Citas recibidas14
Referencias citadas39

This paper offers a case study in undertaking a mutual shaping approach to the design of socially assistive robots. We consider the use of social robots in therapy, and we present our results regarding this application, but the approach is generalisable. Our methodology combines elements of user-centered and participatory design with a focus on mutual learning. We present it in full alongside a more general guide for application to other areas. This approach led to valuable results concerning mutual shaping effects and societal factors regarding the use of such robots early in the design process. We also measured a significant shift in participant robot acceptance pre-/post-study, demonstrating that our approach led to the two-way sharing and shaping of knowledge, ideas and acceptance

Citizen journalism · Focus (optics · Human–computer interaction · Mechatronics · Mobile robot · Participatory design · Process (computing · Robot · Robot control · Robotics · Social robot · AI in Service Interactions · Computer Science · Engineering · Innovative Human-Technology Interaction · Social Robot Interaction and HRI · Artificial Intelligence