Positive Emotional Responses to Socially Assistive Robots in People With Dementia: Pilot Study.

IF 5 Q1 GERIATRICS & GERONTOLOGY
JMIR Aging Pub Date : 2024-04-11 DOI:10.2196/52443
Eri Otaka, Aiko Osawa, Kenji Kato, Yota Obayashi, Shintaro Uehara, Masaki Kamiya, Katsuhiro Mizuno, Shusei Hashide, Izumi Kondo
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引用次数: 0

Abstract

Background: Interventions and care that can evoke positive emotions and reduce apathy or agitation are important for people with dementia. In recent years, socially assistive robots used for better dementia care have been found to be feasible. However, the immediate responses of people with dementia when they are given multiple sensory modalities from socially assistive robots have not yet been sufficiently elucidated.

Objective: This study aimed to quantitatively examine the immediate emotional responses of people with dementia to stimuli presented by socially assistive robots using facial expression analysis in order to determine whether they elicited positive emotions.

Methods: This pilot study adopted a single-arm interventional design. Socially assistive robots were presented to nursing home residents in a three-step procedure: (1) the robot was placed in front of participants (visual stimulus), (2) the robot was manipulated to produce sound (visual and auditory stimuli), and (3) participants held the robot in their hands (visual, auditory, and tactile stimuli). Expression intensity values for "happy," "sad," "angry," "surprised," "scared," and "disgusted" were calculated continuously using facial expression analysis with FaceReader. Additionally, self-reported feelings were assessed using a 5-point Likert scale. In addition to the comparison between the subjective and objective emotional assessments, expression intensity values were compared across the aforementioned 3 stimuli patterns within each session. Finally, the expression intensity value for "happy" was compared between the different types of robots.

Results: A total of 29 participants (mean age 88.7, SD 6.2 years; n=27 female; Japanese version of Mini-Mental State Examination mean score 18.2, SD 5.1) were recruited. The expression intensity value for "happy" was the largest in both the subjective and objective assessments and increased significantly when all sensory modalities (visual, auditory, and tactile) were presented (median expression intensity 0.21, IQR 0.09-0.35) compared to the other 2 patterns (visual alone: median expression intensity 0.10, IQR 0.03-0.22; P<.001; visual and auditory: median expression intensity 0.10, IQR 0.04-0.23; P<.001). The comparison of different types of robots revealed a significant increase when all stimuli were presented by doll-type and animal-type robots, but not humanoid-type robots.

Conclusions: By quantifying the emotional responses of people with dementia, this study highlighted that socially assistive robots may be more effective in eliciting positive emotions when multiple sensory stimuli, including tactile stimuli, are involved. More studies, including randomized controlled trials, are required to further explore the effectiveness of using socially assistive robots in dementia care.

痴呆症患者对社交辅助机器人的积极情绪反应:试点研究。
背景:能够唤起积极情绪、减少冷漠或躁动的干预和护理对痴呆症患者非常重要。近年来,用于改善痴呆症护理的社交辅助机器人被认为是可行的。然而,痴呆症患者在接受社交辅助机器人提供的多种感官模式时的即时反应尚未得到充分阐明:本研究旨在通过面部表情分析,定量检测痴呆症患者对社交辅助机器人发出的刺激的即时情绪反应,以确定它们是否能激发积极情绪:本试验研究采用单臂干预设计。社交辅助机器人通过三个步骤呈现给疗养院居民:(1)将机器人放在参与者面前(视觉刺激);(2)操纵机器人发出声音(视觉和听觉刺激);(3)参与者将机器人握在手中(视觉、听觉和触觉刺激)。使用 FaceReader 进行面部表情分析,连续计算 "高兴"、"悲伤"、"愤怒"、"惊讶"、"害怕 "和 "厌恶 "的表情强度值。此外,还使用 5 点李克特量表对自我感受进行了评估。除了对主观和客观情绪评估进行比较外,还对每个环节中上述 3 种刺激模式的表情强度值进行了比较。最后,还比较了不同类型机器人的 "快乐 "表情强度值:共招募了 29 名参与者(平均年龄 88.7 岁,标准差 6.2 岁;女性 27 人;日文版迷你精神状态检查平均分 18.2 分,标准差 5.1 分)。在主观和客观评估中,"快乐 "的表情强度值最大,与其他两种模式相比,当所有感官模式(视觉、听觉和触觉)都出现时,"快乐 "的表情强度显著增加(表情强度中位数为 0.21,IQR 为 0.09-0.35)(仅视觉模式:表情强度中位数为 0.10,IQR 为 0.03-0.22;PC 结论:通过量化痴呆症患者的情绪反应,本研究强调,当涉及多种感官刺激(包括触觉刺激)时,社交辅助机器人可能会更有效地激发患者的积极情绪。需要进行更多的研究,包括随机对照试验,以进一步探索在痴呆症护理中使用社交辅助机器人的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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