Auditory and Haptic Feedback in a Socially Assistive Robot Memory Game

Emilyann Nault, Lynne Baillie, Frank Broz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Downloads (Pure)

Abstract

Age-related cognitive impairment is becoming a more prevalent concern as the elderly population continues to increase. Technological systems created for cognitive rehabilitation need to be motivating to combat the personal and logistic factors that make it difficult for them to remain engaged [4]. In this paper, we present a pilot study with a socially assistive robot-facilitated memory game that employs sensory feedback (audio, haptic, and both) to explore the design considerations with adults. The ultimate aim is to inform the design of a cognitive rehabilitation system for individuals with age-related cognitive decline. The preliminary results suggest a preference for auditory feedback, and participants believed they performed best in this condition. Based on qualitative feedback, we have identified improvements that can be made to the system to enhance engagement.
Original languageEnglish
Title of host publicationHRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
PublisherAssociation for Computing Machinery
Pages369–371
Number of pages3
ISBN (Electronic)9781450370578
DOIs
Publication statusPublished - 23 Mar 2020
Event15th Annual ACM/IEEE International Conference on Human Robot Interaction 2020 - Corn Exchange, Cambridge, United Kingdom
Duration: 23 Mar 202026 Mar 2020
https://humanrobotinteraction.org/2020/

Conference

Conference15th Annual ACM/IEEE International Conference on Human Robot Interaction 2020
Abbreviated titleHRI 2020
CountryUnited Kingdom
CityCambridge
Period23/03/2026/03/20
Internet address

Keywords

  • Age-related cognitive impairment
  • Cognitive rehabilitation
  • HRI
  • Multimodal feedback system
  • Socially assistive robot

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Auditory and Haptic Feedback in a Socially Assistive Robot Memory Game'. Together they form a unique fingerprint.

  • Cite this

    Nault, E., Baillie, L., & Broz, F. (2020). Auditory and Haptic Feedback in a Socially Assistive Robot Memory Game. In HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 369–371). Association for Computing Machinery. https://doi.org/10.1145/3371382.3378375