Jauwairia Nasir, Pierre Oppliger, Barbara Bruno, P. Dillenbourg
{"title":"Questioning Wizard of Oz: Effects of Revealing the Wizard behind the Robot","authors":"Jauwairia Nasir, Pierre Oppliger, Barbara Bruno, P. Dillenbourg","doi":"10.1109/RO-MAN53752.2022.9900718","DOIUrl":null,"url":null,"abstract":"Wizard of Oz, a very commonly employed technique in human-robot interaction, faces the criticism of being deceptive as the humans interacting with the robot are told, if at all, only at the end of their interaction that there was in fact a human behind the robot. What if the robot reveals the wizard behind itself very early in the interaction? We built a deep wizard of Oz setup to allow for a robot to play together with a human against a computer AI in the context of Connect 4 game. This cooperative game interaction against a common opponent is then followed by a conversation between the human and the robot. We conducted an exploratory user study with 29 adults with three conditions where the robot reveals the wizard, lies about the wizard, and does not say anything, respectively. We also split the data based on how the participants perceive the robot in terms of autonomy. Using different metrics, we evaluate how the users interact with and perceive the robot in both the experimental and perceived conditions. We find that while there is indeed a significant difference in the participants willingness to follow robots suggestions between the experimental conditions as well as in the effort they put to prove themselves as humans (reverse Turing test), there isn’t any significant difference in their robot perception. Additionally, how humans perceive whether the robot is tele-operated or autonomous seems to be indifferent to the robot revealing its identity, i.e., the pre-conceived notions may be uninfluenced even if the robot explicitly states otherwise. Lastly, interestingly in the perception based conditions, absence of statistical significance may suggest that, in certain contexts, wizard of oz may not require hiding the wizard after all.","PeriodicalId":250997,"journal":{"name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","volume":"1 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RO-MAN53752.2022.9900718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Wizard of Oz, a very commonly employed technique in human-robot interaction, faces the criticism of being deceptive as the humans interacting with the robot are told, if at all, only at the end of their interaction that there was in fact a human behind the robot. What if the robot reveals the wizard behind itself very early in the interaction? We built a deep wizard of Oz setup to allow for a robot to play together with a human against a computer AI in the context of Connect 4 game. This cooperative game interaction against a common opponent is then followed by a conversation between the human and the robot. We conducted an exploratory user study with 29 adults with three conditions where the robot reveals the wizard, lies about the wizard, and does not say anything, respectively. We also split the data based on how the participants perceive the robot in terms of autonomy. Using different metrics, we evaluate how the users interact with and perceive the robot in both the experimental and perceived conditions. We find that while there is indeed a significant difference in the participants willingness to follow robots suggestions between the experimental conditions as well as in the effort they put to prove themselves as humans (reverse Turing test), there isn’t any significant difference in their robot perception. Additionally, how humans perceive whether the robot is tele-operated or autonomous seems to be indifferent to the robot revealing its identity, i.e., the pre-conceived notions may be uninfluenced even if the robot explicitly states otherwise. Lastly, interestingly in the perception based conditions, absence of statistical significance may suggest that, in certain contexts, wizard of oz may not require hiding the wizard after all.
《绿野仙踪》(Wizard of Oz)是人机交互中非常常用的一种技术,它面临着欺骗性的批评,因为人类与机器人交互时,即使有,也只是在交互结束时才被告知机器人背后实际上有一个人。如果机器人在交互过程中很早就揭示了自己背后的向导会怎样?我们在《绿野仙踪》中创建了一个深度设置,允许机器人与人类一起对抗电脑AI。这种对抗共同对手的合作游戏互动之后是人类和机器人之间的对话。我们对29名成年人进行了一项探索性的用户研究,在三种情况下,机器人分别透露了向导,对向导撒谎,什么也没说。我们还根据参与者如何感知机器人的自主性来分割数据。使用不同的指标,我们评估用户在实验和感知条件下如何与机器人交互和感知机器人。我们发现,虽然在实验条件下,参与者遵循机器人建议的意愿以及他们证明自己是人类(反向图灵测试)的努力确实存在显著差异,但他们对机器人的感知没有显著差异。此外,人类如何感知机器人是远程操作的还是自主的,似乎与机器人揭示其身份无关,也就是说,即使机器人明确说明了其他情况,先入为主的观念也可能不受影响。最后,有趣的是,在基于感知的条件下,缺乏统计显著性可能表明,在某些情况下,《绿野仙踪》可能根本不需要隐藏向导。