通过基础模型设计与老年人对话的陪伴机器人的建议。

IF 2.9 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2024-05-27 eCollection Date: 2024-01-01 DOI:10.3389/frobt.2024.1363713
Bahar Irfan, Sanna Kuoppamäki, Gabriel Skantze
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引用次数: 0

摘要

陪伴机器人旨在通过在日常生活中提供社交和情感支持,减轻老年人的孤独感和社会隔离感。然而,老年人对会话陪伴机器人的期望可能与当前技术所能实现的期望以及青壮年等其他年龄组的期望大相径庭。因此,让老年人参与会话陪伴机器人的开发至关重要,以确保这些设备符合他们的独特期望和体验。与之前依赖人类控制机器人(如《绿野仙踪》)或基于规则的有限架构的文献形成鲜明对比的是,最近在基础模型(如大型语言模型)方面取得的进步在实现这些期望方面迈出了一大步,而这些模型在应用于老年人的日常生活中并不可行。因此,我们与 28 位老年人开展了一项参与式设计(共同设计)研究,使用大型语言模型(LLM)演示了陪伴机器人,并设计了代表日常生活场景的情景。对围绕这些场景的讨论进行的主题分析表明,老年人希望会话陪伴机器人能在与世隔绝的情况下主动参与对话,在社交场合被动参与对话,记住以前的对话并进行个性化处理,保护隐私并提供对所学数据的控制,提供信息和日常提醒,培养社交技能和联系,以及表达同理心和情感。基于这些发现,本文为设计具有基础模型(如 LLM 和视觉语言模型)的老年人会话陪伴机器人提供了可行的建议,这些建议也可应用于其他领域的会话机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recommendations for designing conversational companion robots with older adults through foundation models.

Companion robots are aimed to mitigate loneliness and social isolation among older adults by providing social and emotional support in their everyday lives. However, older adults' expectations of conversational companionship might substantially differ from what current technologies can achieve, as well as from other age groups like young adults. Thus, it is crucial to involve older adults in the development of conversational companion robots to ensure that these devices align with their unique expectations and experiences. The recent advancement in foundation models, such as large language models, has taken a significant stride toward fulfilling those expectations, in contrast to the prior literature that relied on humans controlling robots (i.e., Wizard of Oz) or limited rule-based architectures that are not feasible to apply in the daily lives of older adults. Consequently, we conducted a participatory design (co-design) study with 28 older adults, demonstrating a companion robot using a large language model (LLM), and design scenarios that represent situations from everyday life. The thematic analysis of the discussions around these scenarios shows that older adults expect a conversational companion robot to engage in conversation actively in isolation and passively in social settings, remember previous conversations and personalize, protect privacy and provide control over learned data, give information and daily reminders, foster social skills and connections, and express empathy and emotions. Based on these findings, this article provides actionable recommendations for designing conversational companion robots for older adults with foundation models, such as LLMs and vision-language models, which can also be applied to conversational robots in other domains.

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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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