International Journal of Social Robotics最新文献_第4页

Having Different Dialog Roles in Telecommunication by Using Two Teleoperated Robots Reduces an Operator’s Guilt 使用两个远程操作机器人在电信中扮演不同的对话角色可减少操作员的内疚感

IF 4.7 2区计算机科学

International Journal of Social Robotics Pub Date : 2024-04-10 DOI: 10.1007/s12369-024-01125-1

Reina Nozawa, Kazuki Sakai, Megumi Kawata, Hiroshi Ishiguro, Yuichiro Yoshikawa

{"title":"Having Different Dialog Roles in Telecommunication by Using Two Teleoperated Robots Reduces an Operator’s Guilt","authors":"Reina Nozawa, Kazuki Sakai, Megumi Kawata, Hiroshi Ishiguro, Yuichiro Yoshikawa","doi":"10.1007/s12369-024-01125-1","DOIUrl":"https://doi.org/10.1007/s12369-024-01125-1","url":null,"abstract":"In recent years, applications of social robots as the operator’s avatar have been widely studied for remote conversation with rich nonverbal information. Having another side-participant robot beside the avatar robot of the operator was found to be effective for providing long-lasting backchannels to the interlocutor. The side-participant robot is also expected to play a role in assisting human participation in multiparty conversations. However, such a focus has not been applied to remote conversations with multiple robots. Here, we propose a multiple-robot telecommunication system with which the operator can use a side-participant robot to assist conversation that is developed by the operator through the main speaker robot to verify its effectiveness. In the laboratory experiment where the subjects were made to feel stressed by being forced to provide rude questions to the interlocutor, the proposed system was shown to reduce guilt and to improve the overall mood of operators. The result encourages the application of a multi robot remote conversation system to allow the user to participate in remote conversations with less anxiety of potential failure in maintaining the conversation.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"51 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Strangers on a Team?: Human Companions, Compared to Strangers or Individuals, are More Likely to Reject a Robot Teammate 团队中的陌生人？：与陌生人或个人相比，人类同伴更有可能拒绝机器人队友

IF 4.7 2区计算机科学

International Journal of Social Robotics Pub Date : 2024-04-10 DOI: 10.1007/s12369-024-01133-1

Cobe Deane Wilson, Danielle Langlois, Marlena R. Fraune

{"title":"Strangers on a Team?: Human Companions, Compared to Strangers or Individuals, are More Likely to Reject a Robot Teammate","authors":"Cobe Deane Wilson, Danielle Langlois, Marlena R. Fraune","doi":"10.1007/s12369-024-01133-1","DOIUrl":"https://doi.org/10.1007/s12369-024-01133-1","url":null,"abstract":"As robots become more common, people interact with them individually, with strangers, and with friends. For example, when coming across a robot in a mall, a family might ask it for instructions. An individual person might hesitate to interact with the robot until they see another person interacting, and then explore the robot together. Although human–robot interaction (HRI) research has recently uncovered the importance of examining differences in group behavior toward robots versus individuals’ behavior, thus far, most HRI research has not distinguished behavior based on group type (e.g., stranger, companion). In this online lab-based study, we explore how individuals, strangers, and companions collaborate with robot teammates. We test competing hypotheses: (1) More cohesive companion groups will form a human subgroup and exclude the robots more than strangers or individuals, vs. (2) More cohesive companion groups will provide social support to interact better with the novel robotic technology than strangers or individuals. In this cooperative context in which participants were required to interact with the robot, results supported H1: the subgroup hypothesis. Based on these findings, people deploying robots should note that if people are required to interact with the robots, the interactions may not go as smoothly for companion groups compared to stranger groups or individuals.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"22 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of Explanation Strategy and Autonomy of Explainable AI on Human–AI Collaborative Decision-making 可解释人工智能的解释策略和自主性对人机协作决策的影响

IF 4.7 2区计算机科学

International Journal of Social Robotics Pub Date : 2024-04-09 DOI: 10.1007/s12369-024-01132-2

Bingcheng Wang, Tianyi Yuan, Pei-Luen Patrick Rau

{"title":"Effects of Explanation Strategy and Autonomy of Explainable AI on Human–AI Collaborative Decision-making","authors":"Bingcheng Wang, Tianyi Yuan, Pei-Luen Patrick Rau","doi":"10.1007/s12369-024-01132-2","DOIUrl":"https://doi.org/10.1007/s12369-024-01132-2","url":null,"abstract":"This study examined the effects of explanation strategy (global explanation vs. deductive explanation vs. contrastive explanation) and autonomy level (high vs. low) of explainable agents on human–AI collaborative decision-making. A 3 × 2 mixed-design experiment was conducted. The decision-making task was a modified Mahjong game. Forty-eight participants were divided into three groups, each collaborating with an agent with a different explanation strategy. Each agent had two autonomy levels. The results indicated that global explanation incurred the lowest mental workload and highest understandability. Contrastive explanation required the highest mental workload but incurred the highest perceived competence, affect-based trust, and social presence. Deductive explanation was found to be the worst in terms of social presence. The high-autonomy agents incurred lower mental workload and interaction fluency but higher faith and social presence than the low-autonomy agents. The findings of this study can help practitioners in designing user-centered explainable decision-support agents and choosing appropriate explanation strategies for different situations.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"14 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Personalizing Activity Selection in Assistive Social Robots from Explicit and Implicit User Feedback 从显性和隐性用户反馈中个性化辅助社交机器人的活动选择

IF 4.7 2区计算机科学

International Journal of Social Robotics Pub Date : 2024-04-09 DOI: 10.1007/s12369-024-01124-2

Marcos Maroto-Gómez, María Malfaz, José Carlos Castillo, Álvaro Castro-González, Miguel Ángel Salichs

{"title":"Personalizing Activity Selection in Assistive Social Robots from Explicit and Implicit User Feedback","authors":"Marcos Maroto-Gómez, María Malfaz, José Carlos Castillo, Álvaro Castro-González, Miguel Ángel Salichs","doi":"10.1007/s12369-024-01124-2","DOIUrl":"https://doi.org/10.1007/s12369-024-01124-2","url":null,"abstract":"Robots in multi-user environments require adaptation to produce personalized interactions. In these scenarios, the user’s feedback leads the robots to learn from experiences and use this knowledge to generate adapted activities to the user’s preferences. However, preferences are user-specific and may suffer variations, so learning is required to personalize the robot’s actions to each user. Robots can obtain feedback in Human–Robot Interaction by asking users their opinion about the activity (explicit feedback) or estimating it from the interaction (implicit feedback). This paper presents a Reinforcement Learning framework for social robots to personalize activity selection using the preferences and feedback obtained from the users. This paper also studies the role of user feedback in learning, and it asks whether combining explicit and implicit user feedback produces better robot adaptive behavior than considering them separately. We evaluated the system with 24 participants in a long-term experiment where they were divided into three conditions: (i) adapting the activity selection using the explicit feedback that was obtained from asking the user how much they liked the activities; (ii) using the implicit feedback obtained from interaction metrics of each activity generated from the user’s actions; and (iii) combining explicit and implicit feedback. As we hypothesized, the results show that combining both feedback produces better adaptive values when correlating initial and final activity scores, overcoming the use of individual explicit and implicit feedback. We also found that the kind of user feedback does not affect the user’s engagement or the number of activities carried out during the experiment.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"37 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140585074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning Driven Developments in Behavioral Annotation: A Recent Historical Review 机器学习驱动行为注释的发展：最新历史回顾

IF 4.7 2区计算机科学

International Journal of Social Robotics Pub Date : 2024-04-08 DOI: 10.1007/s12369-024-01117-1

Eleanor Watson, Thiago Viana, Shujun Zhang

{"title":"Machine Learning Driven Developments in Behavioral Annotation: A Recent Historical Review","authors":"Eleanor Watson, Thiago Viana, Shujun Zhang","doi":"10.1007/s12369-024-01117-1","DOIUrl":"https://doi.org/10.1007/s12369-024-01117-1","url":null,"abstract":"Annotation tools serve a critical role in the generation of datasets that fuel machine learning applications. With the advent of Foundation Models, particularly those based on Transformer architectures and expansive language models, the capacity for training on comprehensive, multimodal datasets has been substantially enhanced. This not only facilitates robust generalization across diverse data categories and knowledge domains but also necessitates a novel form of annotation—prompt engineering—for qualitative model fine-tuning. This advancement creates new avenues for machine intelligence to more precisely identify, forecast, and replicate human behavior, addressing historical limitations that contribute to algorithmic inequities. Nevertheless, the voluminous and intricate nature of the data essential for training multimodal models poses significant engineering challenges, particularly with regard to bias. No consensus has yet emerged on optimal procedures for conducting this annotation work in a manner that is ethically responsible, secure, and efficient. This historical literature review traces advancements in these technologies from 2018 onward, underscores significant contributions, and identifies existing knowledge gaps and avenues for future research pertinent to the development of Transformer-based multimodal Foundation Models. An initial survey of over 724 articles yielded 156 studies that met the criteria for historical analysis; these were further narrowed down to 46 key papers spanning the years 2018–2022. The review offers valuable perspectives on the evolution of best practices, pinpoints current knowledge deficiencies, and suggests potential directions for future research. The paper includes six figures and delves into the transformation of research landscapes in the realm of machine-assisted behavioral annotation, focusing on critical issues such as bias.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"42 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140582887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fear of Being Replaced by Robots and Turnover Intention: Evidence from the Chinese Manufacturing Industry 对被机器人取代的恐惧与离职意向：来自中国制造业的证据

IF 4.7 2区计算机科学

International Journal of Social Robotics Pub Date : 2024-04-06 DOI: 10.1007/s12369-024-01123-3

引用次数: 0

A Study on Social Inclusion of Humanoid Robots: A Novel Embodied Adaptation of the Cyberball Paradigm 仿人机器人的社会融入研究：网络球范例的新颖嵌入式改编

IF 4.7 2区计算机科学

International Journal of Social Robotics Pub Date : 2024-04-05 DOI: 10.1007/s12369-024-01130-4

Cecilia Roselli, Serena Marchesi, Nicola Severino Russi, Davide De Tommaso, Agnieszka Wykowska

{"title":"A Study on Social Inclusion of Humanoid Robots: A Novel Embodied Adaptation of the Cyberball Paradigm","authors":"Cecilia Roselli, Serena Marchesi, Nicola Severino Russi, Davide De Tommaso, Agnieszka Wykowska","doi":"10.1007/s12369-024-01130-4","DOIUrl":"https://doi.org/10.1007/s12369-024-01130-4","url":null,"abstract":"As social robots are being built with the aim of employing them in our social environments, it is crucial to understand whether we are inclined to include them in our social ingroups. Social inclusion might depend on various factors. To understand if people have the tendency to treat robots as their in-group members, we adapted a classical social psychology paradigm, namely the “Cyberball game”, to a 3-D experimental protocol involving an embodied humanoid robot. In our experiment, participants played the ball-tossing game with the iCub robot and another human confederate. In our version, the human confederate was instructed to exclude the robot from the game. This was done to investigate whether participants would re-include the robot in the game. In addition, we examined if acquired technical knowledge about robots would affect social inclusion. To this aim, participants performed the Cyberball twice, namely before and after a familiarization phase when they were provided with technical knowledge about the mechanics and software related to the functionality of the robot. Results showed that participants socially re-included the robot during the task, equally before and after the familiarization session. The familiarization phase did not affect the frequency of social inclusion, suggesting that humans tend to socially include robots, independent of the knowledge they have about their inner functioning.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"46 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140582929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Perception–Intention–Action Cycle in Human–Robot Collaborative Tasks: The Collaborative Lightweight Object Transportation Use-Case 人机协作任务中的感知-注意-行动循环：轻型物体协同运输案例

IF 4.7 2区计算机科学

International Journal of Social Robotics Pub Date : 2024-03-25 DOI: 10.1007/s12369-024-01103-7

{"title":"Perception–Intention–Action Cycle in Human–Robot Collaborative Tasks: The Collaborative Lightweight Object Transportation Use-Case","authors":"","doi":"10.1007/s12369-024-01103-7","DOIUrl":"https://doi.org/10.1007/s12369-024-01103-7","url":null,"abstract":"<h3>Abstract</h3> This study proposes to improve the reliability, robustness and human-like nature of Human–Robot Collaboration (HRC). For that, the classical Perception–Action cycle is extended to a Perception–Intention–Action (PIA) cycle, which includes an Intention stage at the same level as the Perception one, being in charge of obtaining both the implicit and the explicit intention of the human, opposing to classical approaches based on inferring everything from perception. This complete cycle is exposed theoretically including its use of the concept of Situation Awareness, which is shown as a key element for the correct understanding of the current situation and future action prediction. This enables the assignment of roles to the agents involved in a collaborative task and the building of collaborative plans. To visualize the cycle, a collaborative transportation task is used as a use-case. A force-based model is designed to combine the robot’s perception of its environment with the force exerted by the human and other factors in an illustrative way. Finally, a total of 58 volunteers participate in two rounds of experiments. In these, it is shown that the human agrees to explicitly state their intention without undue extra effort and that the human understands that this helps to minimize robot errors or misunderstandings. It is also shown that a system that correctly combines inference with explicit elicitation of the human’s intention is the best rated by the human on multiple parameters related to effective Human–Robot Interaction (HRI), such as perceived safety or trust in the robot.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"15 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140299676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Socially Assistive Robots in Aged Care: Expectations of Older Adults with MCI in Assisted Living Facilities and Their Caregivers 老年护理中的社交辅助机器人：生活辅助设施中患有 MCI 的老年人及其护理人员的期望

IF 4.7 2区计算机科学

International Journal of Social Robotics Pub Date : 2024-03-19 DOI: 10.1007/s12369-024-01115-3

Maaike Van Assche, Mirko Petrovic, Dirk Cambier, Patrick Calders, Patrick Van Gelder, Franz Werner, Dominique Van de Velde

{"title":"Socially Assistive Robots in Aged Care: Expectations of Older Adults with MCI in Assisted Living Facilities and Their Caregivers","authors":"Maaike Van Assche, Mirko Petrovic, Dirk Cambier, Patrick Calders, Patrick Van Gelder, Franz Werner, Dominique Van de Velde","doi":"10.1007/s12369-024-01115-3","DOIUrl":"https://doi.org/10.1007/s12369-024-01115-3","url":null,"abstract":"In the context of recent demographic changes and related societal challenges, socially assistive robots (SARs) are considered having the potential to support independence and care of older adults. However, little is known about the preferred SAR-features of older adults with mild cognitive impairment (MCI) residing in assisted living and their caregivers. Semi-structured interviews were conducted with two stakeholder groups: older adults with MCI and their (in)formal caregivers. Inductive thematic analysis was used to analyse the data. Forty individual semi-structured interviews were conducted with older adults with MCI (N = 30) and (in)formal caregivers (N = 10). Data revealed seven common role-expectations regarding SARs for both the older adults and caregivers: (1) companion, (2) health assistant, (3) household assistant, (4) physical assistant, (5) cognitive assistant, (6) coach, (7) leisure buddy. One additional, eighth role was identified for the caregivers, i.e. job assistant. The results of this study provide a better knowledge of the features to consider during the development process of SARs in order to maximize the perceived usefulness and hence the intention to use and actual adoption. Additionally, a feasibility analysis showed which features should have the primary focus during the further software development of an existing SAR called James® within the ReMIND-project.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"52 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140165734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots 爱恨交织：鼠标追踪对机器人的矛盾态度

IF 4.7 2区计算机科学

International Journal of Social Robotics Pub Date : 2024-03-18 DOI: 10.1007/s12369-024-01112-6

Julia G. Stapels, Friederike Eyssel

{"title":"Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots","authors":"Julia G. Stapels, Friederike Eyssel","doi":"10.1007/s12369-024-01112-6","DOIUrl":"https://doi.org/10.1007/s12369-024-01112-6","url":null,"abstract":"Robots are a source of evaluative conflict and thus elicit ambivalence. In fact, psychological research has shown across domains that people simultaneously report strong positive and strong negative evaluations about one and the same attitude object. This is defined as ambivalence. In the current research, we extended existing ambivalence research by measuring ambivalence towards various robot-related stimuli using explicit (i.e., self-report) and implicit measures. Concretely, we used a mouse tracking approach to gain insights into the experience and resolution of evaluative conflict elicited by robots. We conducted an extended replication across four experiments with N = 411 overall. This featured a mixed-methods approach and included a single paper meta-analysis. Thereby, we showed that the amount of reported conflicting thoughts and feelings (i.e., objective ambivalence) and self-reported experienced conflict (i.e., subjective ambivalence) were consistently higher towards robot-related stimuli compared to stimuli evoking univalent responses. Further, implicit measures of ambivalence revealed that response times were higher when evaluating robot-related stimuli compared to univalent stimuli, however results concerning behavioral indicators of ambivalence in mouse trajectories were inconsistent. This might indicate that behavioral indicators of ambivalence apparently depend on the respective robot-related stimulus. We could not obtain evidence of systematic information processing as a cognitive indicator of ambivalence, however, qualitative data suggested that participants might focus on especially strong arguments to compensate their experienced conflict. Furthermore, interindividual differences did not seem to substantially influence ambivalence towards robots. Taken together, the current work successfully applied the implicit and explicit measurement of ambivalent attitudes to the domain of social robotics, while at the same time identifying potential boundaries for its application.","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"13 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140152011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0