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Evaluating Older Adults' Interaction with a Mobile Assistive Robot
Conference proceeding

Evaluating Older Adults' Interaction with a Mobile Assistive Robot

Caio Mucchiani, Suneet Sharma, Megan Johnson, Justine Sefcik, Nicholas Vivio, Justin Huang, Pamela Cacchione, Michelle Johnson, Roshan Rai, Adrian Canoso, …
2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), v 2017-, pp 840-847
01 Jan 2017

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Robotics Science & Technology Technology
This paper presents findings from two deployments of an autonomous mobile robot in older adult low income Supportive Apartment Living (SAL) facilities. Design guidelines for the robot hardware and software were based on query of clinicians, caregivers and older adults through focus groups, member checks and surveys, to identify what each group believed to be the most important daily activities for older adults to accomplish physically, mentally and socially. After data analysis, hydration and walking encouragement were found to be critical daily activities, becoming the focus of our deployments. The aim of the deployments was to understand the efficacy of human-robot interaction and identify ways to enhance the robot design and programming. Through observation of older adults interacting with the robot and post-interaction surveys filled out by the older adults, conclusions were drawn for further advancement of the robot development to be tested in future deployments. Results overall indicated high perceived usefulness and growing acceptance of the robot by older adults with increased interactions.

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21 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Robotics
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