Previous Experience Matters: An in-Person Investigation of Expectations in Human–Robot Interaction

IF 3.8 2区 计算机科学 Q2 ROBOTICS International Journal of Social Robotics Pub Date : 2024-02-29 DOI:10.1007/s12369-024-01107-3
Julia Rosén, Jessica Lindblom, Maurice Lamb, Erik Billing
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Abstract

The human–robot interaction (HRI) field goes beyond the mere technical aspects of developing robots, often investigating how humans perceive robots. Human perceptions and behavior are determined, in part, by expectations. Given the impact of expectations on behavior, it is important to understand what expectations individuals bring into HRI settings and how those expectations may affect their interactions with the robot over time. For many people, social robots are not a common part of their experiences, thus any expectations they have of social robots are likely shaped by other sources. As a result, individual expectations coming into HRI settings may be highly variable. Although there has been some recent interest in expectations within the field, there is an overall lack of empirical investigation into its impacts on HRI, especially in-person robot interactions. To this end, a within-subject in-person study (\(N=31\)) was performed where participants were instructed to engage in open conversation with the social robot Pepper during two 2.5 min sessions. The robot was equipped with a custom dialogue system based on the GPT-3 large language model, allowing autonomous responses to verbal input. Participants’ affective changes towards the robot were assessed using three questionnaires, NARS, RAS, commonly used in HRI studies, and Closeness, based on the IOS scale. In addition to the three standard questionnaires, a custom question was administered to capture participants’ views on robot capabilities. All measures were collected three times, before the interaction with the robot, after the first interaction with the robot, and after the second interaction with the robot. Results revealed that participants to large degrees stayed with the expectations they had coming into the study, and in contrast to our hypothesis, none of the measured scales moved towards a common mean. Moreover, previous experience with robots was revealed to be a major factor of how participants experienced the robot in the study. These results could be interpreted as implying that expectations of robots are to large degrees decided before interactions with the robot, and that these expectations do not necessarily change as a result of the interaction. Results reveal a strong connection to how expectations are studied in social psychology and human-human interaction, underpinning its relevance for HRI research.

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上一篇 体验很重要:人机交互中的期望值亲身调查
人机交互(HRI)领域超越了开发机器人的单纯技术层面,通常研究人类如何看待机器人。人类的感知和行为在一定程度上是由期望决定的。考虑到期望对行为的影响,我们有必要了解人类在进行人机交互时会产生哪些期望,以及这些期望会如何长期影响他们与机器人的互动。对许多人来说,社交机器人并不是他们经历中常见的一部分,因此他们对社交机器人的任何期望都可能是由其他来源形成的。因此,进入 HRI 环境的个人期望可能会有很大差异。尽管最近该领域对期望值产生了一些兴趣,但总体而言,还缺乏有关期望值对人类资源创新(尤其是人机交互)影响的实证调查。为此,我们进行了一项主体内的人机交互研究((N=31)),要求参与者在两次2.5分钟的对话中与社交机器人Pepper进行开放式对话。该机器人配备了基于GPT-3大语言模型的定制对话系统,可以对语言输入做出自主反应。参与者对机器人的情感变化通过三种问卷进行评估:NARS、HRI 研究中常用的 RAS 和基于 IOS 量表的 Closeness。除了这三种标准问卷外,还设计了一个自定义问题,以了解参与者对机器人能力的看法。所有测量均分三次进行,分别在与机器人互动前、与机器人第一次互动后以及与机器人第二次互动后进行。结果显示,参与者在很大程度上保持了他们在研究开始时的预期,与我们的假设相反,没有一个测量量表向共同的平均值移动。此外,以往使用机器人的经验也是影响参与者在研究中体验机器人的一个重要因素。这些结果可以解释为,对机器人的期望在很大程度上是在与机器人互动之前就已经决定的,而这些期望并不一定会因为互动而改变。研究结果表明,期望与社会心理学和人机交互中的研究方法有着密切联系,这也是其与人机交互研究相关性的基础。
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来源期刊
CiteScore
9.80
自引率
8.50%
发文量
95
期刊介绍: Social Robotics is the study of robots that are able to interact and communicate among themselves, with humans, and with the environment, within the social and cultural structure attached to its role. The journal covers a broad spectrum of topics related to the latest technologies, new research results and developments in the area of social robotics on all levels, from developments in core enabling technologies to system integration, aesthetic design, applications and social implications. It provides a platform for like-minded researchers to present their findings and latest developments in social robotics, covering relevant advances in engineering, computing, arts and social sciences. The journal publishes original, peer reviewed articles and contributions on innovative ideas and concepts, new discoveries and improvements, as well as novel applications, by leading researchers and developers regarding the latest fundamental advances in the core technologies that form the backbone of social robotics, distinguished developmental projects in the area, as well as seminal works in aesthetic design, ethics and philosophy, studies on social impact and influence, pertaining to social robotics.
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