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An Evaluation of Human Conversational Preferences in Social Human-Robot Interaction
Applied Bionics and Biomechanics ( IF 2.2 ) Pub Date : 2021-02-23 , DOI: 10.1155/2021/3648479
Chapa Sirithunge 1 , A. G. Buddhika P. Jayasekara 1 , D. P. Chandima 1
Affiliation  

To generate context-aware behaviors in robots, robots are required to have a careful evaluation of its encounters with humans. Unwrapping emotional hints in observable cues in an encounter will improve a robot’s etiquettes in a social encounter. This article presents an extended human study conducted to examine how several factors in an encounter influence a person’s preferences upon an interaction at a particular moment. We analyzed the nature of conversation preferred by a user considering the type of conversation a robot could have with its user, having the interaction initiated by the robot itself. We took an effort to explore how such preferences differ as the factors present in the surrounding alter. A social robot equipped with the capability to initiate a conversation is deployed to conduct the study by means of a wizard-of-oz (WoZ) experiment. During this study, conversational preferences of users could vary from “no interaction at all” to a “long conversation.” We changed three factors in an encounter which can be different from each other in each circumstance: the audience or outsiders in the environment, user’s task, and the domestic area in which the interaction takes place. Conversational preferences of users within the abovementioned conditions were analyzed in a later stage, and critical observations are highlighted. Finally, implications that could be helpful in shaping future social human-robot encounters were derived from the analysis of the results.

中文翻译:

社会人机交互中人际对话偏好的评估

为了在机器人中生成上下文感知的行为,要求机器人对其与人类的相遇进行仔细的评估。在相遇中以可观察的线索解开情绪暗示会改善社交相遇中机器人的礼节。本文提供了一项扩展的人类研究,旨在研究相遇中的几个因素如何影响人在特定时刻的互动偏好。我们考虑了机器人可以与用户进行的对话类型,并由机器人本身发起了交互,从而分析了用户首选的对话性质。我们努力探索了这种偏好如何随着周围环境中存在的因素而有所不同。部署了具有发起对话能力的社交机器人,以通过绿野仙踪(WoZ)实验进行研究。在这项研究中,用户的会话偏好可能会从“完全不互动”到“长时间对话”不等。我们更改了一次相遇中的三个因素,这些情况在每种情况下可能会彼此不同:环境中的受众或局外人,用户的任务以及进行交互的家庭区域。在稍后的阶段中,将分析上述条件下用户的会话偏好,并突出显示关键的观察结果。最后,对结果的分析得出了可能有助于塑造未来社交人机对话的含义。用户的会话偏好可以从“完全不互动”到“长时间对话”。我们更改了一次相遇中的三个因素,这些情况在每种情况下可能会彼此不同:环境中的受众或局外人,用户的任务以及进行交互的家庭区域。在稍后的阶段中,将分析上述条件下用户的会话偏好,并突出显示关键的观察结果。最后,对结果的分析得出了可能有助于塑造未来社交人机对话的含义。用户的会话偏好可能从“完全不互动”到“长时间对话”不等。我们更改了一次相遇中的三个因素,这些情况在每种情况下可能会彼此不同:环境中的受众或局外人,用户的任务以及进行交互的家庭区域。在稍后的阶段中,将分析上述条件下用户的会话偏好,并突出显示关键的观察结果。最后,对结果的分析得出了可能有助于塑造未来社交人机对话的含义。以及进行互动的家庭区域。在稍后的阶段中,将分析上述条件下用户的会话偏好,并突出显示关键的观察结果。最后,对结果的分析得出了可能有助于塑造未来社交人机对话的含义。以及进行互动的家庭区域。在稍后的阶段中,将分析上述条件下用户的会话偏好,并突出显示关键的观察结果。最后,对结果的分析得出了可能有助于塑造未来社交人机对话的含义。
更新日期:2021-02-23
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