Daichi Katsura, Subaru Ouchi, Daisuke Sakamoto, T. Ono
{"title":"How Agents Provide Sports Motivation: Impression Ratings of Videos in Sport Climbing","authors":"Daichi Katsura, Subaru Ouchi, Daisuke Sakamoto, T. Ono","doi":"10.1145/3406499.3418752","DOIUrl":"https://doi.org/10.1145/3406499.3418752","url":null,"abstract":"In sports, studies commonly use agents as coaches or partners for motivation. However, despite the proven positive effect of cheering on athletes? mental state in the field of sports psychology, no studies have examined the effects of agent-based motivation. Hence, we created three scenarios: computer graphics animation (CG) and voice agent cheering,voice agent cheering, and no cheering and conducted experiments under their conditions. The experiment questionnaire results showed that ?CG and voice agent cheering? was more effective in novice participants than no cheering, confirming the former's positive effect on motivation.","PeriodicalId":109801,"journal":{"name":"Proceedings of the 8th International Conference on Human-Agent Interaction","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117351581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Bourguet, Minghe Xu, Shiyu Zhang, Jacqueline Urakami, G. Venture
{"title":"The Impact of a Social Robot Public Speaker on Audience Attention","authors":"M. Bourguet, Minghe Xu, Shiyu Zhang, Jacqueline Urakami, G. Venture","doi":"10.1145/3406499.3415073","DOIUrl":"https://doi.org/10.1145/3406499.3415073","url":null,"abstract":"Social robots acting as stand-ins for speakers or teachers would enable them to reach large audiences from anywhere in the world, increasing the options for distant learning. They would need to be endowed with effective public speaking skills though, in order to deliver their message, entertain, and maintain audience attention. In this paper, we report two user studies to understand the impact of a social robot public speaker on its audience and compare it to a skilled human speaker. The first study uses an in-house audience attention monitoring system based on computer vision and machine learning; the second study uses eye tracking technology. For both studies, we programmed the social robot Pepper to deliver a short speech in its robotic voice while mimicking the behaviour of a skilled human speaker (gestures and body movements). We found that, when the audience has a genuine interest in the speech, the robot manages to maintain audience attention level as well as the human speaker but fails to arouse interest as much. When the audience is not particularly interested in the speech, the human speaker is better at maintaining audience attention: the novelty of the robot does not compensate for the lack of interest in the speech content, and the robot's behaviour is found to be distracting. Finally, understanding of the speech content is significantly lower for the robot audience. It could be linked to lower audience attention levels, to the robot's lack of facial expressions and failure to convey enthusiasm, or to a feeling that the robot is not legitimate to speak about the topics touched on in the speeches.","PeriodicalId":109801,"journal":{"name":"Proceedings of the 8th International Conference on Human-Agent Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122967889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Socially-Aware Conversational Recommender System for Personalized Recipe Recommendations","authors":"Florian Pecune, Lucile Callebert, S. Marsella","doi":"10.1145/3406499.3415079","DOIUrl":"https://doi.org/10.1145/3406499.3415079","url":null,"abstract":"One potential solution to help people change their eating behavior is to develop conversational systems able to recommend healthy recipes. Beyond the intrinsic quality of the recommendations themselves, various factors might also influence users? perception of a recommendation. Two of these factors are the conversational skills of the system and users' interaction modality. In this paper, we present Cora, a conversational system that recommends recipes aligned with its users? eating habits and current preferences. Users can interact with Cora in two different ways. They can select predefined answers by clicking on buttons to talk to Cora or write text in natural language. On the other hand, Cora can engage users through a social dialogue, or go straight to the point. We conduct an experiment to evaluate the impact of Cora's conversational skills and users' interaction mode on users' perception and intention to cook the recommended recipes. Our results show that a conversational recommendation system that engages its users through a rapport-building dialogue improves users' perception of the interaction as well as their perception of the system.","PeriodicalId":109801,"journal":{"name":"Proceedings of the 8th International Conference on Human-Agent Interaction","volume":"337 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124741275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Beau G. Schelble, Christopher Flathmann, Nathan J. Mcneese
{"title":"Towards Meaningfully Integrating Human-Autonomy Teaming in Applied Settings","authors":"Beau G. Schelble, Christopher Flathmann, Nathan J. Mcneese","doi":"10.1145/3406499.3415077","DOIUrl":"https://doi.org/10.1145/3406499.3415077","url":null,"abstract":"Technological advancement goes hand in hand with economic advancement, meaning applied industries like manufacturing, medicine, and retail are set to leverage new practices like human-autonomy teams. These human-autonomy teams call for deep integration between artificial intelligence and the human workers that make up a majority of the workforce. This paper identifies the core principles of the human-autonomy teaming literature relevant to the integration of human-autonomy teams in applied contexts and research due to this large scale implementation of human-autonomy teams. A framework is built and defined from these fundamental concepts, with specific examples of its use in applied contexts and the interactions between various components of the framework. This framework can be utilized by practitioners of human-autonomy teams, allowing them to make informed decisions regarding the integration and training of human-autonomy teams.","PeriodicalId":109801,"journal":{"name":"Proceedings of the 8th International Conference on Human-Agent Interaction","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116519249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yusuf Albayram, Theodore Jensen, Mohammad Maifi Hasan Khan, Md Abdullah Al Fahim, R. Buck, E. Coman
{"title":"Investigating the Effects of (Empty) Promises on Human-Automation Interaction and Trust Repair","authors":"Yusuf Albayram, Theodore Jensen, Mohammad Maifi Hasan Khan, Md Abdullah Al Fahim, R. Buck, E. Coman","doi":"10.1145/3406499.3415064","DOIUrl":"https://doi.org/10.1145/3406499.3415064","url":null,"abstract":"Setting expectations for future behavior with promises is one way to manage human-human trusting relationships. To investigate the effect of promises made by an automated system, we conducted a 2 (reliability: low, high) x 3 (promise type: no-promise, optimistic, realistic) between-subject study where participants collaborated with an Automated Target Detection (ATD) system to classify images in multiple rounds of gameplay. We found that an optimistic promise (i.e., \"I promise to do better\") initially led to significantly more reliance on automation than a realistic promise (i.e., \"I cannot do better than this\"), but not in the long-term. High reliability participants relied more on the automation and reported greater perceived trustworthiness compared to low reliability participants. In addition, participants in the no promise group reported a greater degree of frustration compared to the other groups. We discuss the implications of our findings for trust repair in automated systems.","PeriodicalId":109801,"journal":{"name":"Proceedings of the 8th International Conference on Human-Agent Interaction","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122356935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cristian Millán-Arias, Bruno José Torres Fernandes, Francisco Cruz, Richard Dazeley, Sergio M. M. Fernandes
{"title":"A Robust Approach for Continuous Interactive Reinforcement Learning","authors":"Cristian Millán-Arias, Bruno José Torres Fernandes, Francisco Cruz, Richard Dazeley, Sergio M. M. Fernandes","doi":"10.1145/3406499.3418769","DOIUrl":"https://doi.org/10.1145/3406499.3418769","url":null,"abstract":"Interactive reinforcement learning is an approach in which an external trainer helps an agent to learn through advice. A trainer is useful in large or continuous scenarios; however, when the characteristics of the environment change over time, it can affect the learning. Robust reinforcement learning is a reliable approach that allows an agent to learn a task, regardless of disturbances in the environment. In this work, we present an approach that addresses interactive reinforcement learning problems in a dynamic environment with continuous states and actions. Our results show that the proposed approach allows an agent to complete the cart-pole balancing task satisfactorily in a dynamic, continuous action-state domain.","PeriodicalId":109801,"journal":{"name":"Proceedings of the 8th International Conference on Human-Agent Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130685959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SEAN","authors":"Nathan Tsoi, Mohamed Hussein, Jeacy Espinoza, Xavier Ruiz, Marynel Vázquez","doi":"10.1145/3406499.3418760","DOIUrl":"https://doi.org/10.1145/3406499.3418760","url":null,"abstract":"Social navigation research is performed on a variety of robotic platforms, scenarios, and environments. Making comparisons between navigation algorithms is challenging because of the effort involved in building these systems and the diversity of platforms used by the community; nonetheless, evaluation is critical to understanding progress in the field. In a step towards reproducible evaluation of social navigation algorithms, we propose the Social Environment for Autonomous Navigation (SEAN). SEAN is a high visual fidelity, open source, and extensible social navigation simulation platform which includes a toolkit for evaluation of navigation algorithms. We demonstrate SEAN and its evaluation toolkit in two environments with dynamic pedestrians and using two different robots.","PeriodicalId":109801,"journal":{"name":"Proceedings of the 8th International Conference on Human-Agent Interaction","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116727471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Rozendaal, E. V. Beek, W. Haselager, D. Abbink, C. Jonker
{"title":"Shift and Blend: Understanding the hybrid character of computing artefacts on a tool-agent spectrum","authors":"M. Rozendaal, E. V. Beek, W. Haselager, D. Abbink, C. Jonker","doi":"10.1145/3406499.3415066","DOIUrl":"https://doi.org/10.1145/3406499.3415066","url":null,"abstract":"In the context of human-agent interaction, we see the emergence of computational artefacts that display hybridity because they can be experienced as tools and agents. In this paper we propose a tool-agent spectrum as an analytical lens that uses 'intention' as a central concept. This spectrum aims to clarify how a computational object can change from being conducive to the intentions of others ('tool') to appearing to have intentions of its own ('agent'), or vice versa. We have applied this analytical lens to unravel people's experiences in two hybrid cases; guide dogs as a living mobility aid for the visually impaired and an experimental wearable object named 'BagSight' as a rudimentary artificial counterpart. We compared both cases through the lens of a tool-agent spectrum and elaborate on these results by discussing some of the principles by which computational artefacts can shift across the spectrum. We conclude by discussing the limitations of this study and provide suggestions for future work.","PeriodicalId":109801,"journal":{"name":"Proceedings of the 8th International Conference on Human-Agent Interaction","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121520350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Public Relation Robots - An Overview","authors":"S. Hansen, K. D. Hansen","doi":"10.1145/3406499.3418757","DOIUrl":"https://doi.org/10.1145/3406499.3418757","url":null,"abstract":"In recent years, there has been an increasing interest in robots designed to assist with information, communication and way-finding at airports, hospitals, shops and other public areas. This poster includes an overview of available commercial-off-the-shelf robot platforms designed for public relation tasks. The physical and technical attributes of the identified robot platforms are described and compared, along with a short analysis of the applications proposed by the vendors. The platforms can potentially be used to accelerate HRI research and the implementation of robot applications for public relation tasks.","PeriodicalId":109801,"journal":{"name":"Proceedings of the 8th International Conference on Human-Agent Interaction","volume":"113 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114504498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Persuasion Strategies Using a Social Robot in an Interactive Storytelling Scenario","authors":"R. B. Paradeda, C. Martinho, A. Paiva","doi":"10.1145/3406499.3415084","DOIUrl":"https://doi.org/10.1145/3406499.3415084","url":null,"abstract":"The behaviour of a person in a given situation can be explained understanding his personality traits. In this sense, the identification of these traits can be a great value to achieve personalised social influence. Although there are several models of persuasion, few of them take into account the person's personality traits. For this reason, this work describes a persuasion study that takes into account a person's personality. We develop a storytelling decision-making scenario, where the participant receives influencing messages to follow a pattern of behaviour determined by a persuasive agent (an autonomous social robot with assertive behaviour). From the study, we find evidence that the model used within the proposed scenario managed to make participants more engaged in the activity. We found pieces of evidence that the levels of assertiveness of a person can influence their attitude and perception by an agent. Also, we identify that persuasion strategy which uses persuasive arguments are more efficient than strategies that have no arguments. Finally, our proposed persuasion strategies have achieved a good level of successful influence.","PeriodicalId":109801,"journal":{"name":"Proceedings of the 8th International Conference on Human-Agent Interaction","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125053591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}