When a notification at the right time is not enough: the reminding process for socially assistive robots in institutional care

Author:

Rehm Matthias,Krummheuer Antonia L.

Abstract

Reminding is often identified as a central function of socially assistive robots in the healthcare sector. The robotic reminders are supposed to help people with memory impairments to remember to take their medicine, to drink and eat, or to attend appointments. Such standalone reminding technologies can, however, be too demanding for people with memory injuries. In a co-creation process, we developed an individual reminder robot together with a person with traumatic brain injury and her care personnel. During this process, we learned that while current research describe reminding as a prototypical task for socially assistive robots, there is no clear definition of what constitutes a reminder nor that it is based on complex sequences of interactions that evolve over time and space, across different actions, actors and technologies. Based on our data from the co-creation process and the first deployment, we argue for a shift towards a sequential and socially distributed character of reminding. Understanding socially assistive robots as rehabilitative tools for people with memory impairment, they need to be reconsidered as interconnected elements in institutional care practices instead of isolated events for the remindee.

Funder

Helsefonden

Spar Nord Fonden

Publisher

Frontiers Media SA

Reference80 articles.

1. Gathering healthcare service robot requirements from young people’s perceptions of an older care robot;Ahn,2017

2. Processes of reminding and requesting in supporting people with special needs: human practices as basis for modeling a virtual assistant?;Amrhein,2016

3. Results of field trials with a mobile service robot for older adults in 16 private households;Bajones;Human-Robot Interact.,2019

4. Planning’ talk and traumatic brain injury: an exploratory application of conversation analysis;Barnes;J. Interactional Res. Commun. Disord.,2012

5. The influence of a social robot’s persona on how it is perceived and accepted by elderly users;Bartl,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3