Towards emotionally aligned social robots for dementia: perspectives of care partners and persons with dementia

痴呆 心理学 社会联系 人际关系 对话 机器人 感觉 情感(语言学) 应用心理学 社会心理学 医学 计算机科学 人工智能 沟通 疾病 病理
作者
Jill A. Dosso,Ela Bandari,Aarti Malhotra,Jesse Hoey,François Michaud,Tony J. Prescott,Julie M. Robillard
出处
期刊:Alzheimers & Dementia [Wiley]
卷期号:18 (S2): e059261-e059261 被引量:5
标识
DOI:10.1002/alz.059261
摘要

BACKGROUND: Persons living with dementia and their care partners place a high value on aging in place and maintaining independence. Socially assistive robots - embodied characters or pets that provide companionship and aid through social interaction - are a promising tool to support these goals. There is a growing commercial market for these devices, with functions including medication reminders, conversation, pet-like behaviours, and even the collection of health data. While potential users generally report positive feelings towards social robots, persons with dementia have been under-included in design and development, leading to a disconnect between robot functions and the real-world needs and desires of end-users. Furthermore, a key element of social and emotional connectedness in human relationships is emotional alignment - a state where all partners have congruent emotional understandings of a situation. Strong emotional alignment between users and robots will be necessary for social robots to provide meaningful companionship, but a computational model of how to achieve this has been absent from the field. To this end, we propose and test Affect Control Theory (ACT) as a framework to improve emotional alignment between older adults and social robotics. METHOD: Using a Canadian online survey, we introduced respondents to three exemplar social robots with older adult-specific functionalities and evaluated their responses around features, emotions, and ethics using standardized and novel measures (n=171 older adults, n=28 care partners, and n=7 persons living with dementia). RESULT: Overall, participants responded positively to the robots. High priority uses included companionship, interaction, and safety. Reasoning around robot use was pragmatic; curiosity and entertainment were motivators to use, while a perceived lack of need and the mechanical appearance of the robots were detractors. Realistic, cute, and cuddly robots were preferred while artificial-looking, creepy, and toy-like robots were disliked. Most importantly, our evidence supported ACT as a viable model of human-robot emotional alignment. CONCLUSION: This work supports the development of emotionally sophisticated, evidence-based, and user-centered social robotics with older adult- and dementia-specific functionality.
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