Proceedings of the 5th International Conference on Human Agent Interaction最新文献

Conversational Agent Learning Natural Gaze and Motion of Multi-Party Conversation from Example 会话智能体从实例中学习多人对话的自然注视和运动

Proceedings of the 5th International Conference on Human Agent Interaction Pub Date : 2017-10-27 DOI: 10.1145/3125739.3132607

Shuai Zou, Kento Kuzushima, Hironori Mitake, S. Hasegawa

引用次数: 0

Keynote Talk 主旨演讲

Proceedings of the 5th International Conference on Human Agent Interaction Pub Date : 2017-10-27 DOI: 10.1145/3125739.3134523

A. Waibel

引用次数: 0

Virtual Character Agent for Lowering Knowledge-sharing Barriers on Q&A Websites 降低问答网站知识共享壁垒的虚拟角色代理

Proceedings of the 5th International Conference on Human Agent Interaction Pub Date : 2017-10-27 DOI: 10.1145/3125739.3132591

Hao Yin, Keiko Yamamoto, Itaru Kuramoto, Y. Tsujino

引用次数: 0

The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios 个性化对学习场景中人机交互的影响

Proceedings of the 5th International Conference on Human Agent Interaction Pub Date : 2017-10-27 DOI: 10.1145/3125739.3125756

Nikhil Churamani, Paul Anton, M. Brügger, Erik Fließwasser, Thomas Hummel, Julius Mayer, Waleed Mustafa, Hwei Geok Ng, Thi Linh Chi Nguyen, Quan Nguyen, Marcus Soll, S. Springenberg, Sascha S. Griffiths, Stefan Heinrich, Nicolás Navarro-Guerrero, Erik Strahl, Johannes Twiefel, C. Weber, S. Wermter

{"title":"The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios","authors":"Nikhil Churamani, Paul Anton, M. Brügger, Erik Fließwasser, Thomas Hummel, Julius Mayer, Waleed Mustafa, Hwei Geok Ng, Thi Linh Chi Nguyen, Quan Nguyen, Marcus Soll, S. Springenberg, Sascha S. Griffiths, Stefan Heinrich, Nicolás Navarro-Guerrero, Erik Strahl, Johannes Twiefel, C. Weber, S. Wermter","doi":"10.1145/3125739.3125756","DOIUrl":"https://doi.org/10.1145/3125739.3125756","url":null,"abstract":"Advancements in Human-Robot Interaction involve robots being more responsive and adaptive to the human user they are interacting with. For example, robots model a personalised dialogue with humans, adapting the conversation to accommodate the user's preferences in order to allow natural interactions. This study investigates the impact of such personalised interaction capabilities of a human companion robot on its social acceptance, perceived intelligence and likeability in a human-robot interaction scenario. In order to measure this impact, the study makes use of an object learning scenario where the user teaches different objects to the robot using natural language. An interaction module is built on top of the learning scenario which engages the user in a personalised conversation before teaching the robot to recognise different objects. The two systems, i.e. with and without the interaction module, are compared with respect to how different users rate the robot on its intelligence and sociability. Although the system equipped with personalised interaction capabilities is rated lower on social acceptance, it is perceived as more intelligent and likeable by the users.","PeriodicalId":346669,"journal":{"name":"Proceedings of the 5th International Conference on Human Agent Interaction","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125575798","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: 55

Speech-to-Gesture Generation: A Challenge in Deep Learning Approach with Bi-Directional LSTM 语音到手势生成:双向LSTM深度学习方法中的挑战

Proceedings of the 5th International Conference on Human Agent Interaction Pub Date : 2017-10-17 DOI: 10.1145/3125739.3132594

Kenta Takeuchi, Dai Hasegawa, S. Shirakawa, Naoshi Kaneko, H. Sakuta, K. Sumi

引用次数: 33

Don't Judge a Book by its Cover: A Study of the Social Acceptance of NAO vs. Pepper 不要以貌取人:NAO与Pepper的社会接受度研究

Proceedings of the 5th International Conference on Human Agent Interaction Pub Date : 2017-10-17 DOI: 10.1145/3125739.3132583

Sofia Thunberg, Sam Thellman, T. Ziemke

引用次数: 13

Personal Influences on Dynamic Trust Formation in Human-Agent Interaction 人-代理互动中个人对动态信任形成的影响

Proceedings of the 5th International Conference on Human Agent Interaction Pub Date : 2017-10-17 DOI: 10.1145/3125739.3125749

Hsiao-Ying Huang, Masooda N. Bashir

引用次数: 12

Prediction of Next-Utterance Timing using Head Movement in Multi-Party Meetings 多人会议中使用头部运动预测下一话语时间

Proceedings of the 5th International Conference on Human Agent Interaction Pub Date : 2017-10-17 DOI: 10.1145/3125739.3125765

Ryo Ishii, Shiro Kumano, K. Otsuka

{"title":"Prediction of Next-Utterance Timing using Head Movement in Multi-Party Meetings","authors":"Ryo Ishii, Shiro Kumano, K. Otsuka","doi":"10.1145/3125739.3125765","DOIUrl":"https://doi.org/10.1145/3125739.3125765","url":null,"abstract":"To build a conversational interface wherein an agent system can smoothly communicate with multiple persons, it is imperative to know how the timing of speaking is decided. In this research, we explore the head movements of participants as an easy-to-measure nonverbal behavior to predict the nest-utterance timing, i.e., the interval between the end of the current speaker's utterance and the start of the next speaker's utterance, in turn-changing in multi-party meetings. First, we collected data on participants' six degree-of-freedom head movements and utterances in four-person meetings. The results of the analysis revealed that the amount of head movements of current speaker, next speaker, and listeners have a positive correlation with the utterance interval. Moreover, the degree of synchrony of the head position and posture between the current speaker and next speaker is negatively correlated with the utterance interval. On the basis of these findings, we used their head movements and the synchrony of their head movements as feature values and devised several prediction models. A model using all features performed the best and was able to predict the next-utterance timing well. Therefore, this research revealed that the participants' head movement is useful for predicting the next-utterance timing in turn-changing in multi-party meetings.","PeriodicalId":346669,"journal":{"name":"Proceedings of the 5th International Conference on Human Agent Interaction","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126743558","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: 14

Exploring Gaze-Activated Object With the CoffeePet 用CoffeePet探索凝视激活的物体

Proceedings of the 5th International Conference on Human Agent Interaction Pub Date : 2017-10-17 DOI: 10.1145/3125739.3132578

S. A. Anas, G.W.M. Rauterberg, Jun Hu

{"title":"Exploring Gaze-Activated Object With the CoffeePet","authors":"S. A. Anas, G.W.M. Rauterberg, Jun Hu","doi":"10.1145/3125739.3132578","DOIUrl":"https://doi.org/10.1145/3125739.3132578","url":null,"abstract":"The feeling of being looked back when we look at someone and that someone is also aware that we are looking at him/her is a basic fundamental during social interaction. This situation can only occur if both realize the presence of each other. Based on these theories, this research is motivated in exploiting the possibility of designing for a gaze sensitive object - how people can relate to object by depending on their eyes only. In this paper, we present a gaze-activated coffee machine called the CoffeePet attached with two small, OLED screen that will displays animated eyes. These eyes are responsive towards the user's gaze behavior. Furthermore, we used a sensor module (HVC Omron) to detect and track the eyes of a user in real time. It gives the ability for the user to interact with the CoffeePet simply by moving their eyes. The CoffeePet is also able to automatically brew and pour the coffee out of its spout if it feels appropriate during the interaction. We further explain the description of the system, modification of the real product, and the experimental plan to compare the user's perception of the CoffeePet's eyes and to investigate whether the user realizes or not that their gaze behavior influences the CoffeePet to react.","PeriodicalId":346669,"journal":{"name":"Proceedings of the 5th International Conference on Human Agent Interaction","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115021988","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

Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents 交互式强化学习智能体行为的自主自我解释

Proceedings of the 5th International Conference on Human Agent Interaction Pub Date : 2017-10-17 DOI: 10.1145/3125739.3125746

Yosuke Fukuchi, Masahiko Osawa, H. Yamakawa, M. Imai

引用次数: 27