arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2012.08254cs.HCcs.AI
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设计一个移动的社会和职业再融合助手,用于倦怠门诊治疗

Designing a Mobile Social and Vocational Reintegration Assistant for Burn-out Outpatient Treatment

German Research Center for Artificial Intelligence(德国人工智能研究中心);Augsburg University(奥格斯堡大学);Saarland University(萨尔兰大学)

Patrick Gebhard, Tanja Schneeberger, Michael Dietz, Elisabeth André, Nida ul Habib Bajwa

摘要:

利用社会代理人作为保健助理或培训员是IVA研究的一个重点领域。虽然它们作为身体保健剂的用途已得到公认,但它们在心理治疗护理领域的应用却面临着巨大的挑战。本文介绍了我们的移动社交代理Emma在倦怠门诊治疗中扮演的职业重返社会助理的角色。我们遵循典型的参与式设计方法,包括专家和患者,以满足双方的要求。由于这种治疗的成功与患者的情绪调节能力有关,我们采用了实时的社会信号解释与情绪调节的计算模拟,影响代理人的社会行为以及口头治疗策略的情境选择。总的来说,我们的跨学科方法使一个新的综合概念的社会代理人作为助手的烧伤病人。

英文摘要:

Using Social Agents as health-care assistants or trainers is one focus area of IVA research. While their use as physical health-care agents is well established, their employment in the field of psychotherapeutic care comes with daunting challenges. This paper presents our mobile Social Agent EmmA in the role of a vocational reintegration assistant for burn-out outpatient treatment. We follow a typical participatory design approach including experts and patients in order to address requirements from both sides. Since the success of such treatments is related to a patients emotion regulation capabilities, we employ a real-time social signal interpretation together with a computational simulation of emotion regulation that influences the agent's social behavior as well as the situational selection of verbal treatment strategies. Overall, our interdisciplinary approach enables a novel integrative concept for Social Agents as assistants for burn-out patients.

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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