Hortensius Ruud, Chaudhury Bishakha, Hoffmann Martin, Cross Emily
Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
Department of Psychology, Utrecht University, Utrecht, The Netherlands.
Open Res Eur. 2022 Aug 16;2:97. doi: 10.12688/openreseurope.14824.1. eCollection 2022.
As research examining human-robot interaction moves from the laboratory to the real world, studies seeking to examine how people interact with robots face the question of which robotic platform to employ to collect data . To facilitate the study of a broad range of individuals, from children to clinical populations, across diverse environments, from homes to schools, a robust, reproducible, low-cost and easy-to-use robotic platform is needed. We describe how a commercially available off-the-shelf robot, Cozmo, can be used to study embodied human-robot interactions in a wide variety of settings, including the user's home. We describe the steps required to use this affordable and flexible platform for longitudinal human-robot interaction studies. First, we outline the technical specifications and requirements of this platform and accessories. We then show how log files containing detailed data on the human-robot interaction can be collected and extracted. Finally, we detail the types of information that can be retrieved from these data. We present findings from a validation that mapped the behavioural repertoire of the Cozmo robot and introduce an accompanying interactive emotion classification tool to use with this robot. This tool combined with the data extracted from the log files can provide the necessary details to understand the psychological consequences of long-term interactions. This low-cost robotic platform has the potential to provide the field with a variety of valuable new possibilities to study the social cognitive processes underlying human-robot interactions within and beyond the research laboratory, which are user-driven and unconstrained in both time and place.
随着研究人类与机器人交互的工作从实验室转向现实世界,旨在探究人们如何与机器人互动的研究面临着选用何种机器人平台来收集数据的问题。为了便于研究从儿童到临床人群等广泛个体,以及从家庭到学校等多样环境中的情况,需要一个强大、可重复、低成本且易于使用的机器人平台。我们描述了如何使用一款市售的现成机器人Cozmo,来研究包括用户家中在内的各种场景下的具身化人机交互。我们阐述了使用这个经济实惠且灵活的平台进行纵向人机交互研究所需的步骤。首先,我们概述该平台及其配件的技术规格和要求。接着,我们展示如何收集和提取包含人机交互详细数据的日志文件。最后,我们详述可从这些数据中检索到的信息类型。我们展示了一项验证研究的结果,该研究绘制了Cozmo机器人的行为库,并引入了一个与之配套的交互式情感分类工具。这个工具与从日志文件中提取的数据相结合,能够提供必要的细节,以理解长期交互的心理影响。这个低成本的机器人平台有潜力为该领域提供各种有价值的新可能性,用于研究研究实验室内外人机交互背后的社会认知过程,这些研究由用户驱动,在时间和地点上均不受限制。