通过基础模型设计与老年人交谈伴侣机器人的建议
Bahar Irfan1, Sanna Kuoppamäki2, Gabriel Skantze1
1Division of Speech, Music and Hearing, KTH Royal Institute of Technology, Stockholm, Sweden.
Frontiers in robotics and AI
|June 11, 2024
概括
年长的成年人希望机器人能够积极交谈,记住细节,确保隐私并表现出同情心. 与这一群体共同设计是有效机器人开发的关键.
科学领域:
- 人与计算机的交互
- 老年学是一门学科.
- 人工智能的人工智能
背景情况:
- 伴侣机器人旨在减少老年人的孤独和社会隔离.
- 老年人对对话性AI的期望与当前的能力和其他年龄组不同.
- 让老年人参与开发对于使机器人与他们的需求保持一致至关重要.
研究的目的:
- 探索老年人对交谈伴侣机器人的期望.
- 使用参与方法为老年人设计人工智能驱动的伴侣机器人提供信息.
- 为了利用大型语言模型 (LLM) 的进步,增强人机交互.
主要方法:
- 一项参与式联合设计研究,涉及28名老年人.
- 一个使用大型语言模型 (LLM) 的伴侣机器人的演示.
- 通过专题分析,分析代表日常情况的设计场景.
主要成果:
- 老年人希望机器人能够积极/被动地交谈,记住/个性化交互,确保隐私,提供信息/提醒,培养社交技能和表达同情心.
- 与以前的人类控制或基于规则的系统相比,LLM提供了显著的进步.
- 关键的设计考虑包括主动/被动对话,记忆,隐私控制,信息传递,社交便利和情感表达.
结论:
- 像LLM这样的基础模型对开发有效的老年人对话伴侣机器人充满希望.
- 提供了可行的建议,用于设计符合老年用户特定期望的机器人.
- 这些发现和建议可以扩展到其他领域的交谈机器人.
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