超越二元互动:将聊天机器人视为社区成员

Joseph Seering, Michal Luria, Geoff F. Kaufman, Jessica Hammer
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引用次数: 66

摘要

近年来,聊天机器人已经成为一个研究和开发的领域,这既是由于它们的商业潜力的实现,也是由于语言处理的进步促进了更自然的对话。然而,迄今为止,几乎所有的聊天机器人都是为与用户进行一对一的双向交流而设计的。在本文中,我们对聊天机器人的研究进行了全面的回顾,并对商业和独立聊天机器人进行了回顾。我们认为聊天机器人的社交角色和会话能力在二元互动之外还没有得到充分的探索,扩展到这个设计空间可以支持在线社区中更丰富的社交互动,并有助于解决维护、调节和发展这些社区的长期挑战。为了识别二元互动之外的机会,我们使用通过设计研究的方法为新的社交聊天机器人产生了400多个概念,我们从这些想法的分析中提出了七个类别。
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Beyond Dyadic Interactions: Considering Chatbots as Community Members
Chatbots have grown as a space for research and development in recent years due both to the realization of their commercial potential and to advancements in language processing that have facilitated more natural conversations. However, nearly all chatbots to date have been designed for dyadic, one-on-one communication with users. In this paper we present a comprehensive review of research on chatbots supplemented by a review of commercial and independent chatbots. We argue that chatbots' social roles and conversational capabilities beyond dyadic interactions have been underexplored, and that expansion into this design space could support richer social interactions in online communities and help address the longstanding challenges of maintaining, moderating, and growing these communities. In order to identify opportunities beyond dyadic interactions, we used research-through-design methods to generate more than 400 concepts for new social chatbots, and we present seven categories that emerged from analysis of these ideas.
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