Literature DB >> 33544067

Older adults' experiences and perceptions of living with Bomy, an assistive dailycare robot: a qualitative study.

Norina Gasteiger1, Ho Seok Ahn2, Christine Fok1, JongYoon Lim2, Christopher Lee2, Bruce A MacDonald2, Geon Ha Kim3, Elizabeth Broadbent4.   

Abstract

An aging global population and preference for aging-in-place pose the opportunity for home-based robots to assist older adults with their daily routines. However, there is limited research into the experiences of older adults using robots in their own homes. In this descriptive qualitative feasibility study, older self-supporting and community-dwelling adults with various age-related health needs used Bomy, a dailycare robot in their homes for up to one week. The study explored the usefulness of the robot and participants' perceptions and experiences of using it. Bomy reminded them of daily activities and delivered cognitive stimulation games. Semi-structured in-person interviews were conducted, and data were analyzed thematically. Findings revealed an acceptance toward robots and the value of assistive dailycare robots. Participants perceived Bomy as a companion and made suggestions for improvement, including resolving technical issues associated with long-term use. Future functions should be personalizable, to accommodate each user's health needs and could also include smoke detection and reading aloud functions. Dailycare robots show promising potential in elderly care, especially in providing reminders for medication, health and wellbeing. This study highlights the importance of co-design and testing robotics in the environments for which they have been developed. Widespread implementation of Bomy might be feasible in the future, with some further adjustments.

Entities:  

Keywords:  assistive robots; feasibility; geriatric; human-robot interaction; older adults

Mesh:

Year:  2021        PMID: 33544067     DOI: 10.1080/10400435.2021.1877210

Source DB:  PubMed          Journal:  Assist Technol        ISSN: 1040-0435


  4 in total

1.  Scenario-based dialogue system based on pause detection toward daily health monitoring.

Authors:  Kazumi Kumagai; Seiki Tokunaga; Norihisa P Miyake; Kazuhiro Tamura; Ikuo Mizuuchi; Mihoko Otake-Matsuura
Journal:  J Rehabil Assist Technol Eng       Date:  2022-10-13

2.  Companion robots for older adults: Rodgers' evolutionary concept analysis approach.

Authors:  Jeongeun Kim; Sukwha Kim; Seongheui Kim; Euehun Lee; Yoonjeong Heo; Cheol-Yong Hwang; Yun-Young Choi; Hyoun-Joong Kong; Hyeongju Ryu; Hyeongsuk Lee
Journal:  Intell Serv Robot       Date:  2021-11-16       Impact factor: 2.468

Review 3.  Technology Acceptance in Socially Assistive Robots: Scoping Review of Models, Measurement, and Influencing Factors.

Authors:  Ying He; Qiu He; Qian Liu
Journal:  J Healthc Eng       Date:  2022-07-22       Impact factor: 3.822

4.  Extended Interviews with Stroke Patients Over a Long-Term Rehabilitation Using Human-Robot or Human-Computer Interactions.

Authors:  Yaacov Koren; Ronit Feingold Polak; Shelly Levy-Tzedek
Journal:  Int J Soc Robot       Date:  2022-09-16       Impact factor: 3.802

  4 in total

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