Understanding Design Preferences for Robots for Pain Management: A Co-Design Study

Feiran Zhang; Frank Broz; Edwin Dertien; Nefeli Kousi; Jules A.M. Van Gurp; Oriana Isabella Ferrari; Ignacio Malagon; Emilia I. Barakova

doi:10.1109/HRI53351.2022.9889542

Understanding Design Preferences for Robots for Pain Management: A Co-Design Study

Feiran Zhang, Frank Broz, Edwin Dertien, Nefeli Kousi, Jules A.M. Van Gurp, Oriana Isabella Ferrari, Ignacio Malagon, Emilia I. Barakova

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

8 Citations (Scopus)

32 Downloads (Pure)

Abstract

There is growing interest in psychological interventions using socially assistive robots to mitigate distress and pain in the pediatric population. This work seeks to address the deficit in understanding of what features and functionality young children and their parents desire to help with pain management by using co-design, a common approach to exploring participants' imaginations and gathering design requirements. To close this gap, we carried out a co-design workshop involving seven families (with children aged between 4-6 and their parents) to understand their expectations and design preferences for a robot designed for pain management in children. Data were collected from surveys, video and audio recordings, interviews, and field notes. We present the robot prototypes constructed during the workshops and derive several preferences of the children (e.g, zoomorphic shape, distractors and emotional expressions as behaviors). Additionally, we report methodological insights regarding the involvement of young children and their parents in the co-design process. Based on the findings of this co-design study, we discuss personalization as a possible design concept for future child-robot interaction development.

Original language	English
Title of host publication	HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
Publisher	IEEE
Pages	1124-1129
Number of pages	6
ISBN (Electronic)	978-1-5386-8554-9, 978-1-6654-0731-1
DOIs	https://doi.org/10.1109/HRI53351.2022.9889542
Publication status	Published - 2022
Event	17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 - Sapporo, Japan Duration: 7 Mar 2022 → 10 Mar 2022

Publication series

Name	ACM/IEEE International Conference on Human-Robot Interaction
Volume	2022-March
ISSN (Electronic)	2167-2148

Conference

Conference	17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Country/Territory	Japan
City	Sapporo
Period	7/03/22 → 10/03/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

child
child-robot interaction
co-design
pain management
parent
social robots

Access to Document

10.1109/HRI53351.2022.9889542

Understanding_Design_Preferences_for_Robots_for_Pain_Management_A_Co_Design_StudyFinal published version, 579 KB

Cite this

Zhang, F., Broz, F., Dertien, E., Kousi, N., Van Gurp, J. A. M., Ferrari, O. I., Malagon, I., & Barakova, E. I. (2022). Understanding Design Preferences for Robots for Pain Management: A Co-Design Study. In HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (pp. 1124-1129). (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2022-March). IEEE. https://doi.org/10.1109/HRI53351.2022.9889542

@inproceedings{75d6e233bdb546c28c271ffccb0b17b1,

title = "Understanding Design Preferences for Robots for Pain Management: A Co-Design Study",

abstract = "There is growing interest in psychological interventions using socially assistive robots to mitigate distress and pain in the pediatric population. This work seeks to address the deficit in understanding of what features and functionality young children and their parents desire to help with pain management by using co-design, a common approach to exploring participants' imaginations and gathering design requirements. To close this gap, we carried out a co-design workshop involving seven families (with children aged between 4-6 and their parents) to understand their expectations and design preferences for a robot designed for pain management in children. Data were collected from surveys, video and audio recordings, interviews, and field notes. We present the robot prototypes constructed during the workshops and derive several preferences of the children (e.g, zoomorphic shape, distractors and emotional expressions as behaviors). Additionally, we report methodological insights regarding the involvement of young children and their parents in the co-design process. Based on the findings of this co-design study, we discuss personalization as a possible design concept for future child-robot interaction development.",

keywords = "child, child-robot interaction, co-design, pain management, parent, social robots",

author = "Feiran Zhang and Frank Broz and Edwin Dertien and Nefeli Kousi and {Van Gurp}, {Jules A.M.} and Ferrari, {Oriana Isabella} and Ignacio Malagon and Barakova, {Emilia I.}",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 ; Conference date: 07-03-2022 Through 10-03-2022",

year = "2022",

doi = "10.1109/HRI53351.2022.9889542",

language = "English",

series = "ACM/IEEE International Conference on Human-Robot Interaction",

publisher = "IEEE",

pages = "1124--1129",

booktitle = "HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction",

address = "United States",

}

Zhang, F, Broz, F, Dertien, E, Kousi, N, Van Gurp, JAM, Ferrari, OI, Malagon, I & Barakova, EI 2022, Understanding Design Preferences for Robots for Pain Management: A Co-Design Study. in HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction, vol. 2022-March, IEEE, pp. 1124-1129, 17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022, Sapporo, Japan, 7/03/22. https://doi.org/10.1109/HRI53351.2022.9889542

Understanding Design Preferences for Robots for Pain Management: A Co-Design Study. / Zhang, Feiran; Broz, Frank; Dertien, Edwin et al.
HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. IEEE, 2022. p. 1124-1129 (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2022-March).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Understanding Design Preferences for Robots for Pain Management

T2 - 17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022

AU - Zhang, Feiran

AU - Broz, Frank

AU - Dertien, Edwin

AU - Kousi, Nefeli

AU - Van Gurp, Jules A.M.

AU - Ferrari, Oriana Isabella

AU - Malagon, Ignacio

AU - Barakova, Emilia I.

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2022

Y1 - 2022

N2 - There is growing interest in psychological interventions using socially assistive robots to mitigate distress and pain in the pediatric population. This work seeks to address the deficit in understanding of what features and functionality young children and their parents desire to help with pain management by using co-design, a common approach to exploring participants' imaginations and gathering design requirements. To close this gap, we carried out a co-design workshop involving seven families (with children aged between 4-6 and their parents) to understand their expectations and design preferences for a robot designed for pain management in children. Data were collected from surveys, video and audio recordings, interviews, and field notes. We present the robot prototypes constructed during the workshops and derive several preferences of the children (e.g, zoomorphic shape, distractors and emotional expressions as behaviors). Additionally, we report methodological insights regarding the involvement of young children and their parents in the co-design process. Based on the findings of this co-design study, we discuss personalization as a possible design concept for future child-robot interaction development.

AB - There is growing interest in psychological interventions using socially assistive robots to mitigate distress and pain in the pediatric population. This work seeks to address the deficit in understanding of what features and functionality young children and their parents desire to help with pain management by using co-design, a common approach to exploring participants' imaginations and gathering design requirements. To close this gap, we carried out a co-design workshop involving seven families (with children aged between 4-6 and their parents) to understand their expectations and design preferences for a robot designed for pain management in children. Data were collected from surveys, video and audio recordings, interviews, and field notes. We present the robot prototypes constructed during the workshops and derive several preferences of the children (e.g, zoomorphic shape, distractors and emotional expressions as behaviors). Additionally, we report methodological insights regarding the involvement of young children and their parents in the co-design process. Based on the findings of this co-design study, we discuss personalization as a possible design concept for future child-robot interaction development.

KW - child

KW - child-robot interaction

KW - co-design

KW - pain management

KW - parent

KW - social robots

UR - http://www.scopus.com/inward/record.url?scp=85140743197&partnerID=8YFLogxK

U2 - 10.1109/HRI53351.2022.9889542

DO - 10.1109/HRI53351.2022.9889542

M3 - Conference contribution

AN - SCOPUS:85140743197

T3 - ACM/IEEE International Conference on Human-Robot Interaction

SP - 1124

EP - 1129

BT - HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction

PB - IEEE

Y2 - 7 March 2022 through 10 March 2022

ER -

Zhang F, Broz F, Dertien E, Kousi N, Van Gurp JAM, Ferrari OI et al. Understanding Design Preferences for Robots for Pain Management: A Co-Design Study. In HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. IEEE. 2022. p. 1124-1129. (ACM/IEEE International Conference on Human-Robot Interaction). doi: 10.1109/HRI53351.2022.9889542

Understanding Design Preferences for Robots for Pain Management: A Co-Design Study

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this