Designing robots with relationships in mind

Suggesting two models of human-socially assistive robot (SAR) relationship

Conference Paper (2021)
Author(s)

Ela Liberman-Pincu (Ben-Gurion University of the Negev)

Elmer D. Van Grondelle (TU Delft - Industrial Design Engineering, TU Delft - Industrial Design Engineering)

Tal Oron-Gilad (Ben-Gurion University of the Negev)

Research Group
Form and Experience
DOI related publication
https://doi.org/10.1145/3434074.3447125 Final published version
More Info
expand_more
Publication Year
2021
Language
English
Research Group
Form and Experience
Article number
3447125
Pages (from-to)
555-558
ISBN (electronic)
978-145038290-8
Event
2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 (2021-03-08 - 2021-03-11), Virtual, Online, United States
Downloads counter
185

Abstract

Relationships are crucial for human existence. People form relationships with other humans, pets, objects, and places. We argue that the nature of human-SAR (Socially assistive robot) relationship changes by context of use and interaction level. Therefore, context and interaction must be incorporated into the design requirements. Earlier studies identified design-related preference differences among users, depending on their personal characteristics and on their role in specific contexts. To align the robotic visual qualities (VQ) with users' expectations, we propose two human-SAR relationship models: context-based model- Situational based model and interaction-based model- Dynamic based model. Together with the VQ's evaluation, these models aim to guide industrial designers in the design process of new SARs. An evaluation method and preliminary findings are presented.