Proceedings of the 10th International Conference on Human-Agent Interaction最新文献

Effect of Preference for a Lecturer Disguised as an Avatar on Desire to View Lecturer’s Video 对化身讲师的偏好对观看讲师视频欲望的影响

Proceedings of the 10th International Conference on Human-Agent Interaction Pub Date : 2022-12-05 DOI: 10.1145/3527188.3563925

Nanami Kojima, Yoshinari Takegawa, Asuka Terai, Keiji Hirata

{"title":"Effect of Preference for a Lecturer Disguised as an Avatar on Desire to View Lecturer’s Video","authors":"Nanami Kojima, Yoshinari Takegawa, Asuka Terai, Keiji Hirata","doi":"10.1145/3527188.3563925","DOIUrl":"https://doi.org/10.1145/3527188.3563925","url":null,"abstract":"It is said to be more difficult to concentrate in online lectures than in face-to-face lectures. Working towards an increase in desire to view lecture video, in this research we changed the appearance of a lecturer using virtual avatars (of which there are four kinds: young man & woman, older man & woman) and investigated whether a lecture participant’s viewing motivation was affected by video image of a lecturer made to look like their preferred avatar. In this experiment, in which 154 participants took part, participants were asked to select lecturers (including avatars) according to the participants’ preferences regarding appearance. Then, participants were divided into a group that watched their favorite avatar and a group that watched their least favorite avatar, before viewing the lecture video. In addition to subjective evaluation indices such as degree of comprehensibility and boredom, viewing desire was also investigated through objective indices, such as the result of a short test and a record of the time at which participants felt they wanted to stop watching the lecture. As a result, in every evaluation index, the participants who viewed an avatar for which they had a high degree of preference obtained a more affirmative result than the participants who viewed an avatar for which they had a low degree of preference, implying that viewing a preferred avatar has an influence on increase in viewing desire.","PeriodicalId":179256,"journal":{"name":"Proceedings of the 10th International Conference on Human-Agent Interaction","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123136774","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}

引用次数: 0

Mixed-Cultural Speech for Mixed-Cultural Users - Natural vs. Synthetic Speech for Virtual Agents 混合文化用户的混合文化语音-虚拟代理的自然与合成语音

Proceedings of the 10th International Conference on Human-Agent Interaction Pub Date : 2022-12-05 DOI: 10.1145/3527188.3563910

David Obremski, Birgit Lugrin

引用次数: 1

The Effect of the Repetitive Utterances Complexity on User’s Desire to Continue Dialogue by a Chat-oriented Spoken Dialogue System 基于聊天的口语对话系统中重复话语复杂性对用户继续对话意愿的影响

Proceedings of the 10th International Conference on Human-Agent Interaction Pub Date : 2022-12-05 DOI: 10.1145/3527188.3561937

Jie Yang, Hirofumi Kikuchi, Takatsugu Uegaki, Kaito Moriki, H. Kikuchi

{"title":"The Effect of the Repetitive Utterances Complexity on User’s Desire to Continue Dialogue by a Chat-oriented Spoken Dialogue System","authors":"Jie Yang, Hirofumi Kikuchi, Takatsugu Uegaki, Kaito Moriki, H. Kikuchi","doi":"10.1145/3527188.3561937","DOIUrl":"https://doi.org/10.1145/3527188.3561937","url":null,"abstract":"In everyday conversation, it is common for participants to repeat all or part of the other’s words, and such repetition is often accompanied by elements such as backchannels. Repetitive utterances have an empathic effect other than confirming information. However, if the repetitive utterances of a dialogue system are monotonous, the user may get bored quickly, and if it is too complex, there is a concern that it may place a cognitive burden on the user. In this study, we define complexity as the number of elements and patterns associated with repeated words and examine the effect of the complexity of repetitive utterances on the user’s perceived empathy and desire to continue dialogue. The complexity of the repetitive utterances was divided into three conditions: low, moderate, and high, and templates of repetitive utterances were made according to each condition. We constructed a chat-oriented spoken dialogue system that automatically generates repetitive utterances. A dialogue experiment was conducted with 12 subjects. As a result, no significant difference was found between the 3 complexity conditions for the evaluation items of the user’s perceived empathy and desire to continue dialogue. On the other hand, considering the characteristics of the user’s negative attitudes towards robots and the anxiety towards robots, the results suggest that the stronger the user’s negative attitudes and anxiety towards robots, the greater the desire to continue the dialogue after exposure to high- complexity repetitive utterances.","PeriodicalId":179256,"journal":{"name":"Proceedings of the 10th International Conference on Human-Agent Interaction","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122531462","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}

引用次数: 0

Proposing a Post-anthropocentric HAI through the Perception of Sentient Entities as Trans-objects 通过感知有知觉的实体作为跨对象提出一个后人类中心的人工智能

Proceedings of the 10th International Conference on Human-Agent Interaction Pub Date : 2022-12-05 DOI: 10.1145/3527188.3563928

H. Akmal, E. B. Sandoval

引用次数: 1

What doesn't kill you makes you stronger: Conceptualising social robot's pain and Consumer's Empathic response through touch 不杀你的让你更强大:概念化社交机器人的痛苦和消费者通过触摸的移情反应

Proceedings of the 10th International Conference on Human-Agent Interaction Pub Date : 2022-12-05 DOI: 10.1145/3527188.3563931

Leila Mouzehkesh Pirborj, Omar Mubin, Michael Lwin, Aila Khan, F. Alnajjar

{"title":"What doesn't kill you makes you stronger: Conceptualising social robot's pain and Consumer's Empathic response through touch","authors":"Leila Mouzehkesh Pirborj, Omar Mubin, Michael Lwin, Aila Khan, F. Alnajjar","doi":"10.1145/3527188.3563931","DOIUrl":"https://doi.org/10.1145/3527188.3563931","url":null,"abstract":"To be welcomed as assistant robots in our daily lives, robots must be liberated from their rigid, programmed logic and made more emotive and empathic to engage with people on their terms [1]. One of the key factors in designing and developing more human-like robots is to understand human emotions and behaviours regarding their pain empathy. This research focuses on the role of emotional touch (painful touch) in humanoid robots in the field of empathy. This paper explores empathic responses through emotional touch in pain conditions. The study conceptualizes a new product (Pain-empathy Bandage) that will be tested in a series of experiments to evoke emotional touch in humanoid robots. This new product will allow researchers to explore helping behaviour in Human-Robot Interaction through touch in “pain conditions”. Additionally, the study will show a comparison between different body parts of the robot that creates an “authentic touch sensation”. The study proposes a new method to evoke empathy in HRI through various pain cues (e.g., bandages).","PeriodicalId":179256,"journal":{"name":"Proceedings of the 10th International Conference on Human-Agent Interaction","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116623668","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}

引用次数: 0

Modeling and Understanding Future Action Decisions of Players during Online Gaming 建模和理解玩家在网络游戏中的未来行动决策

Proceedings of the 10th International Conference on Human-Agent Interaction Pub Date : 2022-12-05 DOI: 10.1145/3527188.3563926

Fabrizia Auletta, Gaurav Patil, Rachel W. Kallen, M. di Bernardo, Michael J. Richardson

引用次数: 0

Enabling Shared Attention with Customers Strengthens a Sales Robot's Social Presence 与客户共享注意力可以增强销售机器人的社交存在感

Proceedings of the 10th International Conference on Human-Agent Interaction Pub Date : 2022-12-05 DOI: 10.1145/3527188.3561918

Masaya Iwasaki, Kosuke Ogawa, Akiko Yamazaki, K. Yamazaki, Yuji Miyazaki, T. Kawamura, Hideyuki Nakanishi

引用次数: 0

Let’s Compete! The Influence of Human-Agent Competition and Collaboration on Agent Learning and Human Perception 让我们竞争!人-Agent竞争与协作对Agent学习和人类感知的影响

Proceedings of the 10th International Conference on Human-Agent Interaction Pub Date : 2022-12-05 DOI: 10.1145/3527188.3561922

Ornnalin Phaijit, C. Sammut, W. Johal

{"title":"Let’s Compete! The Influence of Human-Agent Competition and Collaboration on Agent Learning and Human Perception","authors":"Ornnalin Phaijit, C. Sammut, W. Johal","doi":"10.1145/3527188.3561922","DOIUrl":"https://doi.org/10.1145/3527188.3561922","url":null,"abstract":"In interactive agent learning, the human may teach in a collaborative or adversarial manner. Past research has been focusing on collaborative teaching styles as these are common in human education settings, while overlooking adversarial ones despite promising results in recent research. Moreover, agent performance has been the main focal point while neglecting the perspective of the human teacher, who is crucial to the instructional process. In this work, we examine the impact of competitive and collaborative teaching styles on agent learning and human perception. We conducted a study (N=40) for participants to demonstrate a task in different interaction modes for teaching a computer agent: collaboratively, competitively, or without interacting with the agent. Most participants reported that they preferred competing against the computer agent to the other two modes. Despite smaller numbers of demonstrations given from the user, the agent performance from the interactive modes (collaborative and competitive) was comparable to the non-interactive mode (solo). The agent was perceived as being more competent in the competitive mode than the collaborative mode despite the marginally worse in-task performance. These preliminary findings suggest that competitive types of interaction, when agents or robots learn from humans, lead to better human perception of the agent’s learning when compared to collaborative, and better user engagement when compared to non-interactive learning from demonstrations.","PeriodicalId":179256,"journal":{"name":"Proceedings of the 10th International Conference on Human-Agent Interaction","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114724595","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}

引用次数: 1

Advantage Mapping: Learning Operation Mapping for User-Preferred Manipulation by Extracting Scenes with Advantage Function 优势映射:利用优势函数提取场景，学习用户偏好操作的操作映射

Proceedings of the 10th International Conference on Human-Agent Interaction Pub Date : 2022-12-05 DOI: 10.1145/3527188.3561917

Rinta Hasegawa, Yosuke Fukuchi, Kohei Okuoka, M. Imai

{"title":"Advantage Mapping: Learning Operation Mapping for User-Preferred Manipulation by Extracting Scenes with Advantage Function","authors":"Rinta Hasegawa, Yosuke Fukuchi, Kohei Okuoka, M. Imai","doi":"10.1145/3527188.3561917","DOIUrl":"https://doi.org/10.1145/3527188.3561917","url":null,"abstract":"When a user manipulates a system, a user input through an interface, or an operation, is converted to the user’s intended action according to the mapping that links operations and actions, which we call “operation mapping”. Although many operation mappings are created by designers assuming how a typical user would operate the system, the optimal operation mapping may vary from user to user. The designer cannot prepare in advance all possible operation mappings. One approach to solve this problem involves autonomous learning of an operation mapping during the operation. However, existing methods require manual preparation of scenes for learning mappings. We propose advantage mapping, which enables the efficient learning of operation mappings. Working from the idea that scenes in which the user’s desired action is predictable are useful for learning operation mappings, advantage mapping extracts scenes according to the magnitude of entropy in the output of the action value function acquired from reinforcement learning. In our experiment, the user’s ideal operation mapping was more accurately obtained from the scenes selected by advantage mapping than from learning through actual play.","PeriodicalId":179256,"journal":{"name":"Proceedings of the 10th International Conference on Human-Agent Interaction","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115035911","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}

引用次数: 0

Measuring Subconscious Gender Biases against Male and Female Virtual Agents in Japan 日本男性和女性虚拟代理的潜意识性别偏见测量

Proceedings of the 10th International Conference on Human-Agent Interaction Pub Date : 2022-12-05 DOI: 10.1145/3527188.3563909

Tomoko Koda, Saori Tsuji, Miki Takase

引用次数: 1