将聊天机器人扩展到探测用户:通过探测对话增强复杂决策

Leon Reicherts, Gun-Woo Park, Y. Rogers
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引用次数: 5

摘要

聊天机器人已经变得司空见惯——它们可以提供客户支持、接受订单、收集反馈,甚至提供(心理)健康支持。尽管存在这种多样性,但为更复杂的决策任务设计聊天机器人的机会在很大程度上仍未得到充分开发。考虑到这一点,我们不禁要问:如何将聊天机器人嵌入用于复杂决策的软件工具中,并设计用于支撑和探索人类认知?我们研究的目的是探索这种“探测机器人”的可能用途。我们考察的领域是需要做出许多复杂决策的股票投资。在我们的研究中,不同类型的投资者与一个我们称之为“ProberBot”的原型进行互动,随后参与深度访谈。他们普遍认为我们的ProberBot在支持他们的思考方面很有效,但这取决于任务和活动的类型。我们讨论了这些和其他研究结果,以及开发ProberBots用于类似决策任务的设计考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending Chatbots to Probe Users: Enhancing Complex Decision-Making Through Probing Conversations
Chatbots have become commonplace – they can provide customer support, take orders, collect feedback, and even provide (mental) health support. Despite this diversity, the opportunities of designing chatbots for more complex decision-making tasks remain largely underexplored. Bearing this in mind leads us to ask: How can chatbots be embedded into software tools used for complex decision-making and designed to scaffold and probe human cognition? The goal of our research was to explore possible uses of such “probing bots”. The domain we examined was stock investment where many complex decisions need to be made. In our study, different types of investors interacted with a prototype, which we called “ProberBot”, and subsequently took part in in-depth interviews. They generally found our ProberBot was effective at supporting their thinking but when this is desirable depends on the type of task and activity. We discuss these and other findings as well as design considerations for developing ProberBots for similar types of decision-making tasks.
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