自适应虚拟代理:实时人机交互的设计与评估

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Jieyeon Woo , Kazuhiro Shidara , Catherine Achard , Hiroki Tanaka , Satoshi Nakamura , Catherine Pelachaud
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引用次数: 0

摘要

当我们交谈时,我们会根据对话者的情况调整自己的行为。这种适应可以表明我们的参与,也可以增强他人的参与。扮演互动伙伴角色的虚拟代理(或社交互动虚拟代理)可以通过实时显示连续的适应性行为来改善人类用户的互动体验。虚拟代理已被用于多个领域,以改善用户交互和性能。以往的研究表明,赋予代理自适应能力在提高代理感知和用户体验方面具有良好的效果。在本文中,我们开发了一种自适应虚拟代理,它能根据人类对话者的行为表现实时呈现自适应行为。该系统采用了呈现互适应代理行为的 ASAP 模型。该系统由四个主要部分组成:社会信号感知、代理自适应行为生成、代理可视化(即代理的语言和非语言行为渲染)以及信号交流。为了展示自适应代理的实用性,我们选择了认知行为疗法(CBT)的电子健康应用作为概念验证,该疗法可识别并纠正偏颇和不合理的想法(或自动想法)。通过这项研究,我们证明了赋予代理对等适应能力的重要性,尤其是在增强用户体验和 CBT 治疗效果方面。我们通过问卷调查以及与用户体验和 CBT 效果(情绪、焦虑、压力和认知变化)相关的代理感知(自然度、人性化、同步性和参与度)测量,研究了具有互惠适应能力的代理、仅有表达能力(行为不匹配)的代理和无表达能力(静止姿态)的代理之间的差异,从而验证了赋予这种适应能力的重要性。这些结果凸显了虚拟代理实时适应的价值。这将使虚拟代理能够为各种应用提供更加个性化的互动体验。此外,我们还收集了一个新的人机交互(HAI)数据库,即 HAI-CBT 数据库,该数据库已向研究界公开。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Adaptive virtual agent: Design and evaluation for real-time human-agent interaction

Adaptive virtual agent: Design and evaluation for real-time human-agent interaction

When we converse, we adapt our behaviors to our interlocutors. The adaptation can serve to indicate our engagement which can also elicit enhancement of the involvement of others. Virtual agents (or socially interactive virtual agents) that play the role of interaction partners can improve the human users’ interaction experience by displaying continuous and adaptive behaviors in real time. Virtual agents have been used in multiple domains to improve user interaction and performance. The promising results of the endowment of adaptation to agents in increasing the agents’ perception and user experience were shown in previous studies. In this paper, we develop an adaptive virtual agent that renders real-time adaptive behaviors based on the behaviors shown by its human interlocutor. The ASAP model rendering reciprocally adaptive agent behavior was employed to realize the system. The system consists of four main parts: perception of social signals, agent adaptive behavior generation, agent visualization (i.e. rendering of the agent’s verbal and nonverbal behavior), and communication of signals. To showcase the usefulness of our adaptive agent, as a proof-of-concept we choose the e-health application of cognitive behavior therapy (CBT), which identifies and rectifies biased and irrational thoughts (or automatic thoughts). Through this study, we show the importance of giving the agent reciprocal adaptation capability notably in enhancing the user experience and the effectiveness of the CBT session. We validate the importance of endowing such adaptation capability by studying the difference between agents that are reciprocally adaptive, solely expressive (with mismatched behavior), and inexpressive (in a still posture) via questionnaires and measures related to the agent perception (naturalness, human-likeliness, synchrony, and engagement) for user experience and the CBT effectiveness (mood, anxiety, stress, and cognitive change). These results highlight the value of making virtual agents adapt in real time. This could lead to agents being capable of providing more personalized and interactive experiences for a wide range of applications. Also, we have collected a new human-agent interaction (HAI) database, HAI-CBT database, which is publicly available to the research community.

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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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