在关系代理的长期干预中保持参与。

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2010-07-01 DOI:10.1080/08839514.2010.492259

Timothy Bickmore, Daniel Schulman, Langxuan Yin

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引用次数: 207

摘要

我们讨论了为需要长期自愿使用的应用程序设计虚拟人的问题，以及随着时间的推移保持与用户的互动的问题。从各种学科的概念和理论相关的参与进行了审查。我们描述了一个进行人类和虚拟代理之间长期互动研究的平台，并提出了两个纵向随机对照实验的结果，其中评估了代理行为对用户参与度的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Maintaining Engagement in Long-term Interventions with Relational Agents.

查看原文本刊更多论文

Maintaining Engagement in Long-term Interventions with Relational Agents.

We discuss issues in designing virtual humans for applications which require long-term voluntary use, and the problem of maintaining engagement with users over time. Concepts and theories related to engagement from a variety of disciplines are reviewed. We describe a platform for conducting studies into long-term interactions between humans and virtual agents, and present the results of two longitudinal randomized controlled experiments in which the effect of manipulations of agent behavior on user engagement was assessed.

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.