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Evaluating older adults' interaction with a mobile assistive robot

Caio Mucchiani, Suneet Sharma, Megan Johnson, Justine S. Sefcik, Nicholas Vivio, Justin Huang, Pamela Z. Cacchione, Michelle J. Johnson, Roshan Rai, Adrian Canoso, Tessa Lau, Mark Yim

Year
2017
Citations
24

Abstract

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.

Keywords

RobotFocus groupMobile robotActivities of daily livingComputer scienceFocus (optics)Applied psychologyIndependent livingHuman–computer interactionHuman–robot interaction

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