Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents最新文献

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The Effectiveness of Social Influence Tactics when Used by a Virtual Agent 虚拟代理使用社会影响策略的有效性
Gale M. Lucas, J. Lehr, N. Krämer, J. Gratch
{"title":"The Effectiveness of Social Influence Tactics when Used by a Virtual Agent","authors":"Gale M. Lucas, J. Lehr, N. Krämer, J. Gratch","doi":"10.1145/3308532.3329464","DOIUrl":"https://doi.org/10.1145/3308532.3329464","url":null,"abstract":"Research in social science distinguishes between two types of social influence: informational and normative. Informational social influence is driven by the desire to evaluate ambiguous situations correctly, whereas normative social influence is driven by the desire to be liked and gain social acceptance from another person. Although we know from research that humans can effectively use either of these techniques to persuade other humans, scholars have yet to examine the relative effectiveness of informational versus normative social influence when used by virtual agents. We report a study in which users interact with a system that persuades them either using informational or normative social influence. Furthermore, to compare agents to human interlocutors, users are told that the system is either tele-operated by a human (avatar) or fully-automated (agent). Using this design, we are able to compare the effectiveness of virtual agents (vs humans) in employing informational versus normative social influence. Participants interacted with the system, which employed a Wizard-of-Oz operated virtual agent that tried to persuade the user to agree with its rankings on a \"survival task.\" Controlling for initial divergence in rankings between user and the agent, there was a significant main effect such that informational social influence resulted in greater influence than normative influence. However, this was qualified by an interaction that approached significance; users were, if anything, more persuaded by informational influence when they believe the agent was AI (compared to a human), whereas there was no difference between the agent and avatar in the normative influence condition.","PeriodicalId":112642,"journal":{"name":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121966859","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: 16
Designing Social Signals for Artificial Agents Using Psychological Science 利用心理科学设计人工智能体的社会信号
Rachael E. Jack
{"title":"Designing Social Signals for Artificial Agents Using Psychological Science","authors":"Rachael E. Jack","doi":"10.1145/3308532.3337711","DOIUrl":"https://doi.org/10.1145/3308532.3337711","url":null,"abstract":"Artificial agents are now increasingly part of human society, destined for schools, hospitals, and homes to perform a variety of tasks. To engage their human users, artificial agents must be equipped with essential social skills such as facial expression communication. However, many artificial agents remain limited in this ability because they are typically equipped with a narrow set of prototypical Western-centric facial expressions of emotion that lack naturalistic dynamics. Our aim is to address this challenge by equipping artificial agents with a broader repertoire of socially relevant and culturally sensitive facial expressions (e.g., complex emotions, conversational messages, social and personality traits). To this aim, we use new, data-driven and psychology-based methodologies that can reverse-engineer dynamic facial expressions using human cultural perception. We show that our human-user-centered approach can reverse engineer many different, highly recognizable, and human-like dynamic facial expressions that typically outperform the facial expressions of existing artificial agents. By objectively analyzing these dynamic facial expression models, we can also identify specific latent syntactical signalling structures that can inform the design of generative models for culture-specific and universal social face signalling. Together, our results demonstrate the utility of an interdisciplinary approach that applies data-driven, psychology-based methods to inform the social signalling generation capabilities of artificial agents. We anticipate that these methods will broaden the usability and global marketability of artificial agents and highlight the key role that psychology must continue to play in their design.","PeriodicalId":112642,"journal":{"name":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126992397","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
A Generic Machine Learning Based Approach for Addressee Detection In Multiparty Interaction 基于通用机器学习的多方交互中地址检测方法
Usman Malik, Mukesh Barange, Naser Ghannad, Julien Saunier, A. Pauchet
{"title":"A Generic Machine Learning Based Approach for Addressee Detection In Multiparty Interaction","authors":"Usman Malik, Mukesh Barange, Naser Ghannad, Julien Saunier, A. Pauchet","doi":"10.1145/3308532.3329462","DOIUrl":"https://doi.org/10.1145/3308532.3329462","url":null,"abstract":"Addressee detection is one of the most fundamental tasks for seamless dialogue management and turn taking in human-agent interaction. Whereas addressee detection is implicit in dyadic interaction, it becomes a challenging task in multiparty interactions when more than two participants are involved. Existing research works employ either rule-based or statistical approaches for addressee detection. However, most of these works either have been tested on a single data set or only support a fixed number of participants. In this article, we propose a model based on generic features to predict the addressee in data sets with varying number of participants. The results tested on two different corpora show that the proposed model outperforms existing baselines.","PeriodicalId":112642,"journal":{"name":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124826719","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: 4
Effects of a Virtual Human Appearance Fidelity Continuum on Visual Attention in Virtual Reality 虚拟人的外观保真度连续体对虚拟现实中视觉注意的影响
Matias Volonte, A. Duchowski, Sabarish V. Babu
{"title":"Effects of a Virtual Human Appearance Fidelity Continuum on Visual Attention in Virtual Reality","authors":"Matias Volonte, A. Duchowski, Sabarish V. Babu","doi":"10.1145/3308532.3329461","DOIUrl":"https://doi.org/10.1145/3308532.3329461","url":null,"abstract":"In this contribution we studied how different rendering styles of a virtual human impacted users' visual attention in an interactive medical training simulator. In a mixed design experiment, 78 participants interacted with a virtual human representing a sample from the non-photorealistic (NPR) to the photorealistic (PR) rendering continuity. We presented five rendering style samples scenarios, namely low fidelity all Pencil Shaded (APS), Low to Mid Fidelity Pencil Shader on virtual patient (VP) only (PS), Mid Fidelity All Cartoon Shaded (ACT), Mid to High Fidelity Cartoon Shader on VP only (CT), and relatively High Fidelity Human Like (HL) appearance, and compared how visual attention differed between groups of users. For this study, we employed an eye tracking system for collecting and analyzing users' gaze during interaction with the virtual human in a failure to rescue medical training simulation. Results suggests that users may spend more time in the simulations on the non-realistic fidelity continuum that necessarily do not involve interaction with the virtual human. However, users preferred visually attending to virtual humans in the middle and high fidelity visual appearance conditions when engaging virtual humans in simulated social face-to-face dialogue as compared to the other conditions","PeriodicalId":112642,"journal":{"name":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126247994","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: 9
Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents 19 ACM国际会议的程序智能虚拟代理
{"title":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","authors":"","doi":"10.1145/3308532","DOIUrl":"https://doi.org/10.1145/3308532","url":null,"abstract":"","PeriodicalId":112642,"journal":{"name":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131585785","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
What's on Your Virtual Mind?: Mind Perception in Human-Agent Negotiations 你的虚拟脑子里都在想些什么?:人- agent谈判中的心智感知
Minha Lee, Gale M. Lucas, Johnathan Mell, Emmanuel Johnson, J. Gratch
{"title":"What's on Your Virtual Mind?: Mind Perception in Human-Agent Negotiations","authors":"Minha Lee, Gale M. Lucas, Johnathan Mell, Emmanuel Johnson, J. Gratch","doi":"10.1145/3308532.3329465","DOIUrl":"https://doi.org/10.1145/3308532.3329465","url":null,"abstract":"Recent research shows that how we respond to other social actors depends on what sort of mind we ascribe to them. In this article we examine how perceptions of a virtual agent's mind shape behavior in human-agent negotiations. We varied descriptions and communicative behavior of virtual agents on two dimensions according to the mind perception theory:agency (cognitive aptitude) andpatiency (affective aptitude). Participants then engaged in negotiations with the different agents. People scored more points and engaged in shorter negotiations with agents described to be cognitively intelligent, and got lower points and had longer negotiations with agents that were described to be cognitively unintelligent. Accordingly, agents described as having low agency ended up earning more points than those with high agency. Within the negotiations themselves, participants sent more happy and surprise emojis and emotionally valenced messages to agents described to be emotional. This high degree of described patiency also affected perceptions of the agent's moral standing and relatability. In short, manipulating the perceived mind of agents affects how people negotiate with them. We discuss these results, which show that agents are perceived not only as social actors, but as intentional actors through negotiations.","PeriodicalId":112642,"journal":{"name":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132627842","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: 17
VICTEAMS
Domitile Lourdeaux, Zoubida Afoutni, Marie-Hélène Ferrer, N. Sabouret, Virginie Demulier, Jean-Claude Martin, Laurence Bolot, V. Boccara, R. Lelong
{"title":"VICTEAMS","authors":"Domitile Lourdeaux, Zoubida Afoutni, Marie-Hélène Ferrer, N. Sabouret, Virginie Demulier, Jean-Claude Martin, Laurence Bolot, V. Boccara, R. Lelong","doi":"10.1145/3308532.3329418","DOIUrl":"https://doi.org/10.1145/3308532.3329418","url":null,"abstract":"Health care delivery in military conflict, in peacekeeping missions or in the aftermath of disaster, implies high stress environments with danger exposures, life-threatening events and high levels of work demand. Crisis and emergency risk communication remains a real challenge. The rapid response of emergency medical teams has an important role to play in preventing serious adverse events. During critical events, medical errors can be related to human or system factors, including ineffective team leadership, non-standardized team communication, a lack of global situation awareness, poor use of resources and inappropriate triage and prioritization. The VICTEAMS project aims at building a virtual environment for training rescue team leaders to non-technical skills. Depending on the leader abilities, the virtual characters playing the subordinates (e.g. nurses) reproduce a variety of behaviors like erroneous actions, followership attitudes or stress-based behaviors. A pedagogical director tailors the difficulty according to the dynamic profile of the learner.","PeriodicalId":112642,"journal":{"name":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123538597","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
An Expert-Model & Machine Learning Hybrid Approach to Predicting Human-Agent Negotiation Outcomes 专家-模型和机器学习混合方法预测人类-代理谈判结果
Johnathan Mell, Markus Beissinger, J. Gratch
{"title":"An Expert-Model & Machine Learning Hybrid Approach to Predicting Human-Agent Negotiation Outcomes","authors":"Johnathan Mell, Markus Beissinger, J. Gratch","doi":"10.1145/3308532.3329433","DOIUrl":"https://doi.org/10.1145/3308532.3329433","url":null,"abstract":"We present the results of a machine-learning approach to the analysis of several human-agent negotiation studies. By combining expert knowledge of negotiating behavior compiled over a series of empirical studies with neural networks, we show that a hybrid approach to parameter selection yields promise for designing -more effective and socially intelligent agents. Specifically, we show that a deep feedforward neural network using a theory-driven three-parameter model can be effective in predicting negotiation outcomes. Furthermore, it outperforms other expert-designed models that use more parameters, as well as those using other, more limited techniques (such as linear regression models or boosted decision trees). We anticipate these results will have impact for those seeking to combine extensive domain knowledge with more automated approaches in human-computer negotiation.","PeriodicalId":112642,"journal":{"name":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125826650","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
Let's Chat! Can Virtual Agents learn how to have a Conversation? 我们聊天吧!虚拟座席能学会如何进行对话吗?
Verena Rieser
{"title":"Let's Chat! Can Virtual Agents learn how to have a Conversation?","authors":"Verena Rieser","doi":"10.1145/3308532.3337712","DOIUrl":"https://doi.org/10.1145/3308532.3337712","url":null,"abstract":"Intelligent virtual agents frequently engage the user in conversation. The underlying technology - often referred to as spoken dialogue systems - have experienced a revolution over the past decade, moving from being completely handcrafted to using data-driven machine learning methods. In this talk, I will review current developments including my work on using reinforcement learning and deep learning models, and evaluate these methods in the light of recent results from two large-scale studies: First, I will summarise results from a shared task, the End-to-End Natural Language Generation Challenge (E2E NLG) for presenting information in closed-domain task-based dialogue systems. Second, I will report our experience from experimenting with these models for generating responses in open-domain social dialogue as part of the Amazon Alexa Prize challenge. Throughout my talk, I will highlight challenges and opportunities of machine learning based response generation.","PeriodicalId":112642,"journal":{"name":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126815797","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
A Virtual Patient to Train Semiology Extraction and Empathic Communication Skills for Psychiatric Interview 在精神病学访谈中训练符号学提取和移情沟通技巧的虚拟病人
L. Dupuy, E. D. Sevin, O. Ballot, H. Cassoudesalle, P. Dehail, B. Aouizerate, E. Cuny, J. Micoulaud-Franchi, P. Philip
{"title":"A Virtual Patient to Train Semiology Extraction and Empathic Communication Skills for Psychiatric Interview","authors":"L. Dupuy, E. D. Sevin, O. Ballot, H. Cassoudesalle, P. Dehail, B. Aouizerate, E. Cuny, J. Micoulaud-Franchi, P. Philip","doi":"10.1145/3308532.3329429","DOIUrl":"https://doi.org/10.1145/3308532.3329429","url":null,"abstract":"Psychiatric diagnostic relies on physician's ability to create an empathic interaction with the patient (i.e., engage the patient in the conversation with empathic sentences, while keeping an emotional distance) in order to accurately extract semiology (i.e., clinical manifestations). Virtual patients (VPs) offer new ways to train these skills but need to be validated in terms of accuracy to measure the skills of interest, and be perceived positively by its users. We recruited 34 medicine students, who interacted with a VP suffering from depressive disorders. Results suggest good abilities for the students to use empathic sentences to communicate with the VP, but results varied regarding semiology extraction, students having a specialty in psychiatry performing better than their counterparts. Additionally, results suggest that students managed to keep an emotional distance during the interaction with the VP, but they let their emotions out when answering semiology questions. Positive feedbacks and limitations raised by students during debriefing interviews provide suggestions for improvements and ideas for future works.","PeriodicalId":112642,"journal":{"name":"Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125018415","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
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