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A robot at home — How affect, technology commitment, and personality traits influence user experience in an intelligent robotics apartment

机译:在家中的机器人-影响力,技术承诺和个性特征如何影响智能机器人公寓中的用户体验

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Previous research has shown that user features like affect, personality traits, user gender, technology commitment, perceived ease of technology use, and the feeling of being observed impact human-technology interaction (e.g., [1], [2]). To date, most studies have focused on the influence of user characteristics while interacting with single technical devices such as smart phones, audio players (e.g., [3]), or computers (e.g., [1]). To extend this work, we investigated the influence of individual user characteristics, the perceived ease of task completion, and the feeling of being observed on human-technology interaction and human-robot interaction (HRI) in particular. We explored how participants would solve seven tasks within a smart laboratory apartment. To do so, we collected video data and complemented this analysis with survey data to investigate naïve users' attitudes towards the smart home and the robot. User characteristics such as agreeableness, low negative affect, technology acceptance, low perceived competence regarding technology use, and the perceived ease of task were predictors of positive user experiences within the intelligent robotics apartment. Regression analyses revealed that a positive evaluation of the robot was predicted by positive affect and, to a lesser extent, by technology acceptance. Actual interactions with the robot were predicted by a positive evaluation of the robot and, to a lesser degree, by technology acceptance. Moreover, our findings show that user characteristics and, by tendency, the ease of task impact HRI within an intelligent apartment. Implications for future research on how to investigate the interplay of user and further task characteristics to improve HRI are discussed.
机译:先前的研究表明,用户特征(如情感,个性特征,用户性别,技术承诺,感知的技术使用便利性以及被观察到的感觉)会影响人与技术的交互(例如[1],[2])。迄今为止,大多数研究集中在与诸如智能电话,音频播放器(例如[3])或计算机(例如[1])之类的单个技术设备交互时,用户特性的影响。为了扩展这项工作,我们调查了个人用户特征,感知到的任务完成难易程度以及对人机交互(特别是人机交互)的观察感觉的影响。我们探讨了参与者如何在智能实验室内解决七个任务。为此,我们收集了视频数据,并通过调查数据对这一分析进行了补充,以调查天真的用户对智能家居和机器人的态度。用户特性,例如同意,低负面影响,技术接受度,与技术使用相关的感知能力低以及感知到的任务容易程度,是智能机器人公寓中积极用户体验的预测指标。回归分析显示,对机器人的积极评价是通过积极的影响进行预测的,而在较小程度上则通过技术的接受程度进行了预测。通过对机器人的积极评价来预测与机器人的实际交互,并在较小程度上通过技术验收来预测与机器人的实际交互。此外,我们的研究结果表明,用户特征以及从趋势上看,任务的难易程度都会影响智能公寓中的HRI。讨论了如何研究用户之间的相互作用以及进一步改善HRI的任务特征对未来研究的意义。

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