TY - JOUR
T1 - Social Robot Co-Design Canvases
T2 - A Participatory Design Framework
AU - Axelsson, Minja
AU - Oliveira, Raquel
AU - Racca, Mattia
AU - Kyrki, Ville
N1 - Funding Information:
This project was funded by Futurice. M.A. acknowledges a grant from the project AMIGOS:PTDC/EEISII/7174/2014, and the Osk. Huttunen Foundation, and EP/T517847/1 (EPSRC). R.O. also acknowledges a grant by Fundação para a Ciência e a Tecnologia: (FCT) from the project AMIGOS:PTDC/EEISII/7174/2014 and a Ph.D. grant with the following reference: PD/BD/150570/2020. The work of M. R. and V. K. was partially financially supported by Academy of Finland Strategic Research Council project ROSE, 314180. Authors’ addresses: M. Axelsson, University of Cambridge, Department of Computer Science and Technology, The Computer Laboratory, William Gates Building, 15 JJ Thomson Avenue, Cambridge CB3 0FD; email: minja.axelsson@ cl.cam.ac.uk; R. Oliveira, Group on Artificial Intelligence for People and the Society (GAIPS), INESC-ID, Iscte-University Institute of Lisbon (CIS-IUL), Av. das Forças Armadas, 1649-026, Lisbon, Portugal; M. Racca, Idiap Research Institute, Rue Marconi 19, CH - 1920, Martigny, Switzerland; email: [email protected]; V. Kyrki, Aalto University, Department of Electrical Engineering and Automation, Maarintie 8, 02130 Espoo, Finland; email: [email protected].
Publisher Copyright:
© 2021 Copyright held by the owner/author(s).
PY - 2022/3
Y1 - 2022/3
N2 - Design teams of social robots are often multidisciplinary, due to the broad knowledge from different scientific domains needed to develop such complex technology. However, tools to facilitate multidisciplinary collaboration are scarce. We introduce a framework for the participatory design of social robots and corresponding canvas tool for participatory design. The canvases can be applied in different parts of the design process to facilitate collaboration between experts of different fields, as well as to incorporate prospective users of the robot into the design process. We investigate the usability of the proposed canvases with two social robot design case studies: a robot that played games online with teenage users and a librarian robot that guided users at a public library. We observe through participants' feedback that the canvases have the advantages of (1) providing structure, clarity, and a clear process to the design; (2) encouraging designers and users to share their viewpoints to progress toward a shared one; and (3) providing an educational and enjoyable design experience for the teams.
AB - Design teams of social robots are often multidisciplinary, due to the broad knowledge from different scientific domains needed to develop such complex technology. However, tools to facilitate multidisciplinary collaboration are scarce. We introduce a framework for the participatory design of social robots and corresponding canvas tool for participatory design. The canvases can be applied in different parts of the design process to facilitate collaboration between experts of different fields, as well as to incorporate prospective users of the robot into the design process. We investigate the usability of the proposed canvases with two social robot design case studies: a robot that played games online with teenage users and a librarian robot that guided users at a public library. We observe through participants' feedback that the canvases have the advantages of (1) providing structure, clarity, and a clear process to the design; (2) encouraging designers and users to share their viewpoints to progress toward a shared one; and (3) providing an educational and enjoyable design experience for the teams.
KW - design tool
KW - Human-robot interaction
KW - participatory design
KW - robot design
KW - social robots
UR - http://www.scopus.com/inward/record.url?scp=85124808701&partnerID=8YFLogxK
U2 - 10.1145/3472225
DO - 10.1145/3472225
M3 - Article
AN - SCOPUS:85124808701
SN - 2573-9522
VL - 11
JO - ACM Transactions on Human-Robot Interaction
JF - ACM Transactions on Human-Robot Interaction
IS - 1
M1 - 3
ER -