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1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction最新文献

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Implementing Diverse Robotic Interactive Systems Using VOnDA 利用VOnDA实现多种机器人交互系统
1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction Pub Date : 2021-01-08 DOI: 10.21437/ROBOTDIAL.2021-5
B. Kiefer, C. Willms
{"title":"Implementing Diverse Robotic Interactive Systems Using VOnDA","authors":"B. Kiefer, C. Willms","doi":"10.21437/ROBOTDIAL.2021-5","DOIUrl":"https://doi.org/10.21437/ROBOTDIAL.2021-5","url":null,"abstract":"This paper describes the implementation of different interactive robotic systems using the dialogue framework VOnDA, an interactive robotic arm, a guidance and a transport robot developed in the INTUITIV project, and the social robotic companion and tutor of the PAL system. The applications dif-fer in terms of complexity in multiple dimensions, e.g., concerning dialogue structure, frequency of sensory input, architecture (embedded vs. cloud), etc. We highlight the different requirements, and aim to demonstrate the flexibility of the framework and its feasibility in multiple contexts and on different levels of control, from mere interaction modelling to being the central agent control component.","PeriodicalId":405201,"journal":{"name":"1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122724515","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: 3
DiaBuLI – Building Dialogues for Human-Robot Interaction by Learning from Object Information DiaBuLI -通过学习对象信息构建人机交互对话
1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction Pub Date : 2021-01-08 DOI: 10.21437/ROBOTDIAL.2021-7
S. Schiffer, Julia Arndt, Laura Platte, J. Madyal, Marlon Spangenberg
{"title":"DiaBuLI – Building Dialogues for Human-Robot Interaction by Learning from Object Information","authors":"S. Schiffer, Julia Arndt, Laura Platte, J. Madyal, Marlon Spangenberg","doi":"10.21437/ROBOTDIAL.2021-7","DOIUrl":"https://doi.org/10.21437/ROBOTDIAL.2021-7","url":null,"abstract":"We report on preliminary results of our efforts of building a human-robot dialogue by using decision tree learning. The system is particularly designed for dialogues that go along with decision processes. In our application, the self-developed robot MoBi should assist young children in the classroom with waste management. To do so, MoBi asks a couple of yes/no-questions about a waste item to dispose in order to decide on the correct bin. We take a collection of instances of the classification task where we know the right bin decision for and we characterize these examples by a set of attributes that describe features like material and usage properties. Then, we perform decision tree learning to generate a tree which builds the basis for the dialogue with MoBi. While many existing work aim for a more open-ended form of dialogue we focus on a specific setting where the robot assists in a decision process. Existing approaches have investigated the use of learning to optimize the length or number of turns in an interaction dialogue. We are also interested in optimizing our dialogue but we look into find-ing other interesting qualities as well. We compare trees resulting from different configurations of our decision tree learning both with one another as well as with hand-crafted dialogues used for the robot MoBi so far.","PeriodicalId":405201,"journal":{"name":"1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124785382","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
Dialogue Processing and System Involvement in Multimodal Task Dialogues 多模态任务对话中的对话处理与系统参与
1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction Pub Date : 2021-01-08 DOI: 10.21437/ROBOTDIAL.2021-6
Ivana Kruijff-Korbayová, Kristiina Jokinen
{"title":"Dialogue Processing and System Involvement in Multimodal Task Dialogues","authors":"Ivana Kruijff-Korbayová, Kristiina Jokinen","doi":"10.21437/ROBOTDIAL.2021-6","DOIUrl":"https://doi.org/10.21437/ROBOTDIAL.2021-6","url":null,"abstract":"We compare dialogue processing needs for several types of applications involving human-human and human-system collaboration and communication in various scenarios for a range of tasks. The tasks in these scenarios include collaboration which requires communication for information exchange and for task management. However, the necessary dialogue processing in the corresponding applications differs depending on the level of system involvement in the task(s) at hand, and in this paper we propose to put them on a continuum corresponding to the depth/coverage of the dialogue processing that is required. We provide a different and complementary perspective on ways of comparing dialogue processing than is common when looking at dialogue as either goal/task-oriented or chit-chat, or when considering different approaches to dialogue management, such as finite-state trans-ducers or template-filling. We explore the possibility of gradually scaling dialogue processing complexity while sharing development resources for different applications along the continuum within one application domain.","PeriodicalId":405201,"journal":{"name":"1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116516927","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
Dialogue Structure Parsing on Multi-Floor Dialogue Based on Multi-Task Learning 基于多任务学习的多层对话结构分析
1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction Pub Date : 2021-01-08 DOI: 10.21437/ROBOTDIAL.2021-4
Seiya Kawano, Koichiro Yoshino, D. Traum, Satoshi Nakamura
{"title":"Dialogue Structure Parsing on Multi-Floor Dialogue Based on Multi-Task Learning","authors":"Seiya Kawano, Koichiro Yoshino, D. Traum, Satoshi Nakamura","doi":"10.21437/ROBOTDIAL.2021-4","DOIUrl":"https://doi.org/10.21437/ROBOTDIAL.2021-4","url":null,"abstract":"A multi-floor dialogue consists of multiple sets of dialogue participants, each conversing within their own floor, but also at least one multi-communicating member who is a participant of multiple floors and coordinating each to achieve a shared dialogue goal. The structure of such dialogues can be complex, involving intentional structure and relations that are within or across floors. In this study, we propose a neural dialogue structure parser based on multi-task learning and an attention mechanism on multi-floor dialogues in a collaborative robot navigation domain. Our experimental results show that our proposed model improved the dialogue structure parsing performance more than those of single models, which are trained on each dialogue structure parsing task in multi-floor dialogues.","PeriodicalId":405201,"journal":{"name":"1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121510910","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
Cascaded Dialogue Modelling for Situated Human-Robot Interactions 情境人机交互的级联对话建模
1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction Pub Date : 2021-01-08 DOI: 10.21437/ROBOTDIAL.2021-2
Kristiina Jokinen
{"title":"Cascaded Dialogue Modelling for Situated Human-Robot Interactions","authors":"Kristiina Jokinen","doi":"10.21437/ROBOTDIAL.2021-2","DOIUrl":"https://doi.org/10.21437/ROBOTDIAL.2021-2","url":null,"abstract":"The paper discusses new requirements for dialogue modelling that situated human-robot interactions and increasingly demanding smart contexts impose on dialogue systems. Based on Constructive Dialogue Modelling, the paper describes human communication enablements (contact, perception, understanding and reaction) and their modelling as a hierarchy which supports the agent to produce appropriate dialogue behaviour. The hierarchy is compared to the subsumption architecture for mobile robots, and a cascaded model with multiple parallel yet hierarchical dialogue processing tasks is proposed as a model for context-aware dialogue management.","PeriodicalId":405201,"journal":{"name":"1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction","volume":"20 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122186711","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
Improving user engagement with dialogue systems through meaningful response generation 通过生成有意义的响应，提高对话系统的用户参与度
1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction Pub Date : 2021-01-08 DOI: 10.21437/ROBOTDIAL.2021-1
Daina Teranishi, Masahiro Araki
{"title":"Improving user engagement with dialogue systems through meaningful response generation","authors":"Daina Teranishi, Masahiro Araki","doi":"10.21437/ROBOTDIAL.2021-1","DOIUrl":"https://doi.org/10.21437/ROBOTDIAL.2021-1","url":null,"abstract":"The sequence-to-sequence (Seq2Seq) model can be used to generate responses to various input sentences. However, these responses are often dull, such as in the form of simple consent, which reduces people’s willingness to continue the dialogue with a dialogue system. To overcome this limitation, this work was aimed to develop meaningful response generation methods, specifically, by (1) combining multiple response generation modules to the Seq2Seq model and (2) generating responses by introducing randomness to the Seq2Seq model. The results indicated that the adding randomness method could generate satisfactorily meaningful responses, thereby improving the user engagement with the dialogue systems.","PeriodicalId":405201,"journal":{"name":"1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129933881","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
Findings from human-android dialogue research with ERICA 与艾丽卡的人机对话研究发现
1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction Pub Date : 2021-01-08 DOI: 10.21437/ROBOTDIAL.2021-3
Divesh Lala, K. Inoue, Kenta Yamamoto, Tatsuya Kawahara
{"title":"Findings from human-android dialogue research with ERICA","authors":"Divesh Lala, K. Inoue, Kenta Yamamoto, Tatsuya Kawahara","doi":"10.21437/ROBOTDIAL.2021-3","DOIUrl":"https://doi.org/10.21437/ROBOTDIAL.2021-3","url":null,"abstract":"Human-android interaction is a domain where dialogue management is combined with realistic humanoids. In this work we provide a summary of our dialogue research with the android ERICA. We provide an outline of what we have accomplished until now, with discussions of ERICA’s dialogue management in several scenarios, both linguistic and non-linguistic. From formal experiments and informal commentary from users, we draw upon several findings during the project that should be considered with human-android dialogue research but can also be applied to other robots and agents.","PeriodicalId":405201,"journal":{"name":"1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131082322","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
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