Designing robots with relationships in mind: Suggesting two models of human-socially assistive robot (SAR) relationship

Ela Liberman-Pincu, Elmer D. Van Grondelle, Tal Oron-Gilad

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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.

Original languageEnglish
Title of host publicationHRI 2021 - Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE
Pages555-558
Number of pages4
ISBN (Electronic)9781450382908
DOIs
Publication statusPublished - 2021
Event2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 - Virtual, Online, United States
Duration: 8 Mar 202111 Mar 2021

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Conference

Conference2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021
CountryUnited States
CityVirtual, Online
Period8/03/2111/03/21

Keywords

  • Design
  • Design methods
  • Human-robot interaction
  • Product design
  • Visual qualities

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