Situational Context Directs How People Affectively Interpret Robotic Non-Linguistic Utterances
Situational Context Directs How People Affectively Interpret Robotic Non-Linguistic Utterances
复制标题
情境指导人们如何有效地解释机器人非语言话语
DOI：
10.1145/2559636.2559680
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Tony Belpaeme
中科院分区：
文献类型：
--
作者：
Robin Read;Tony Belpaeme
本文提出了一个实验，调查的影响，情景语境对人们如何情感地解释非语言话语的社会机器人。受试者呈现五个视频条件，显示机器人做出积极和消极的话语，机器人受到的动作（例如，接收亲吻，或一巴掌），然后两个视频显示的动作和机器人的反应与积极和消极的话语的组合。对于每一个视频的情感评级的效价提供的基础上，如何主题认为机器人的感觉给出了视频中发生了什么。在5种不同的行动方案中重复了这一过程。结果表明，情感解释的行动似乎凌驾于话语，无论情感收费的话语。此外，它表明，如果行动和话语的意义是一致的，整体的解释被放大。这些研究结果被认为是在社会HRI的话语的实际使用。
This paper presents an experiment investigating the influence that a situational context has upon how people affectively interpret Non-Linguistic Utterances made by a social robot. Subjects were presented five video conditions showing the robot making both a positive and negative utterance, the robot being subject to an action (e.g. receiving a kiss, or a slap), and then two videos showing the combination of the action and the robot reacting with both the positive and negative utterances. For each video an affective rating of valence was provided based upon how the subjects thought the robot felt given what had happened in the video. This was repeated for 5 different action scenarios. Results show that the affective interpretation of an action appears to override that of an utterance, regardless of the affective charge of the utterance. Furthermore, it is shown that if the meaning of the action and utterance are aligned, the overall interpretation is amplified. These findings are considered with respect to the practical use of utterances during social HRI.