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arXiv 2110.04249cs.AIcs.HC

AI能否检测疼痛并表达疼痛共情?基于情绪识别与以人为中心的AI视角的综述

Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspective

Institute of Psychology, Chinese Academy of Sciences(中国科学院心理研究所);University of Chinese Academy of Sciences(中国科学院大学);University of Oxford(牛津大学);Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所);University of Hamburg(汉堡大学);University of Macau(澳门大学)

Siqi Cao, Di Fu, Xu Yang, Stefan Wermter, Xun Liu, Haiyan Wu

AI总结:

本文从情绪识别与以人为中心的AI视角,综述了计算疼痛识别与人工共情的关键进展、认知挑战及技术障碍,探讨了AI从多模态识别疼痛及实现共情的益处与路径,并展望了未来负责任评估与开发共情情感助手的方法。

摘要:

疼痛和共情等感官与情感体验对身心健康至关重要。认知神经科学一直致力于揭示疼痛与共情的内在机制。此外,作为新兴的研究热点,计算疼痛识别与共情人工智能(AI)在医疗保健或人机交互领域展现出进展与前景。尽管近期AI研究已使构建具备情感处理能力的人工系统愈发可行,但大多数认知神经科学与AI研究并未共同探讨AI与认知神经科学中的共情问题。本文的主要目的是介绍计算疼痛识别与人工共情实现方面的关键进展、认知挑战及技术障碍。我们的讨论涵盖以下主题:AI如何从单模态与多模态信息中识别疼痛?AI具备共情能力是否至关重要?共情AI有何益处与挑战?尽管在AI重要性(包括共情识别与响应)上已达成部分共识,我们仍强调了人工共情面临的未来挑战及跨学科视角下的可能路径。此外,我们探讨了认知方法与计算技术负责任评估面临的挑战,并展示了未来工作的方法,以助力开发具备共情能力的情感助手。

英文摘要:

Sensory and emotional experiences such as pain and empathy are essential for mental and physical health. Cognitive neuroscience has been working on revealing mechanisms underlying pain and empathy. Furthermore, as trending research areas, computational pain recognition and empathic artificial intelligence (AI) show progress and promise for healthcare or human-computer interaction. Although AI research has recently made it increasingly possible to create artificial systems with affective processing, most cognitive neuroscience and AI research do not jointly address the issues of empathy in AI and cognitive neuroscience. The main aim of this paper is to introduce key advances, cognitive challenges and technical barriers in computational pain recognition and the implementation of artificial empathy. Our discussion covers the following topics: How can AI recognize pain from unimodal and multimodal information? Is it crucial for AI to be empathic? What are the benefits and challenges of empathic AI? Despite some consensus on the importance of AI, including empathic recognition and responses, we also highlight future challenges for artificial empathy and possible paths from interdisciplinary perspectives. Furthermore, we discuss challenges for responsible evaluation of cognitive methods and computational techniques and show approaches to future work to contribute to affective assistants capable of empathy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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