Filters








38,480 Hits in 5.4 sec

Analyzing Post-dialogue Comments by Speakers – How Do Humans Personalize Their Utterances in Dialogue? –

Toru Hirano, Ryuichiro Higashinaka, Yoshihiro Matsuo
2016 Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue  
the satisfaction with regard to the dialogues.  ...  In addition, by analyzing the effectiveness of their thoughts, we found that dialogue strategies for personalization related to "topic elaboration", "topic changing" and "tempo" significantly increased  ...  The analysis was done as follows: Step 1) we read the post-dialogue comments and manually extracted the dialogue strategies for personalizing the utterances, Step 2) we annotated the extracted dialogue  ... 
doi:10.18653/v1/w16-3619 dblp:conf/sigdial/HiranoHM16 fatcat:gkmiavxp2jfjjnlku6qpar7aya

Evaluating Interaction of MAS Providing Context-Aware Services [chapter]

Nayat Sanchez-Pi, David Griol, Javier Carbo, Jose M. Molina
2011 Lecture Notes in Computer Science  
The evaluation of Multi-Agent Systems (MAS) is a complex problem and it does not have a single form.  ...  For dependant nature of the relevance of the messages, the valuation has to be adhoc, but our paper provides an example of how interesting is this alternative in order to evaluate any MAS architecture  ...  Acknowledgments Funded by projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, SINPROB, CAM MADRINET S-0505/TIC/0255, and DPS2008-07029-C02-02.  ... 
doi:10.1007/978-3-642-22000-5_39 fatcat:wrjjjjqsfbbpjjsuahzr27tvnm

Personalizing Dialogue Agents: I have a dog, do you have pets too? [article]

Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, Jason Weston
2018 arXiv   pre-print
Since (ii) is initially unknown our model is trained to engage its partner with personal topics, and we show the resulting dialogue can be used to predict profile information about the interlocutors.  ...  We collect data and train models to (i) condition on their given profile information; and (ii) information about the person they are talking to, resulting in improved dialogues, as measured by next utterance  ...  In the case of goal-oriented dialogue some work has focused on the agent being aware of the human's profile and adjusting the dialogue accordingly, but without a personality to the agent it-self (Lucas  ... 
arXiv:1801.07243v5 fatcat:zuvoiqt4enhwxf7snhoegqaqku

Conversational Agents: Goals, Technologies, Vision and Challenges

Merav Allouch, Amos Azaria, Rina Azoulay
2021 Sensors  
The technologies used for the evaluation of CAs and publicly available datasets are outlined.  ...  In recent years, conversational agents (CAs) have become ubiquitous and are a presence in our daily routines.  ...  After interacting with the ECA, participants completed a survey assessing their perception and evaluation of the agent.  ... 
doi:10.3390/s21248448 pmid:34960538 pmcid:PMC8704682 fatcat:vhylbunhwbbhfa65bdqmnqpi5q

Getting To Know You: User Attribute Extraction from Dialogues [article]

Chien-Sheng Wu, Andrea Madotto, Zhaojiang Lin, Peng Xu, Pascale Fung
2019 arXiv   pre-print
In this paper, we leverage dialogues with conversational agents, which contain strong suggestions of user information, to automatically extract user attributes.  ...  Meanwhile, we discuss potential applications (e.g., personalized recommendation and dialogue systems) of such extracted user attributes, and point out current limitations to cast light on future work.  ...  There are two perspectives on personalized dialogue agents: the first is giving personalities to the agents (Zhang et al., 2018; Mazare et al., 2018) , and the second, which is rarely discussed, is to  ... 
arXiv:1908.04621v1 fatcat:leytipntmvharc6igqvtoklykm

Extracting and Inferring Personal Attributes from Dialogue [article]

Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia
2022 arXiv   pre-print
We introduce the tasks of extracting and inferring personal attributes from human-human dialogue, and analyze the linguistic demands of these tasks.  ...  Finally, we demonstrate the benefit of incorporating personal attributes in social chit-chat and task-oriented dialogue settings.  ...  Acknowledgments We thank Noah Smith, Waleed Ammar, Massimilliano Ciaramita, Dongqi Su, Weizhe Lin and many others at UW-NLP and beyond for insight discussions.  ... 
arXiv:2109.12702v2 fatcat:xil4jzo5hbet5mhcwin6ph3lby

On the construction of more human-like chatbots: Affect and emotion analysis of movie dialogue data

Rafael E. Banchs
2017 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)  
Recent research interest in chatbots and conversational agents aims at making human-machine interaction more human-like in both behavioral and attitudinal terms.  ...  for developing and training datadriven conversational agents with discriminative power across such dimensions.  ...  Yinping Yang and Dr. Raj Kumar Gupta, for generating all the annotations of the MovieDiC dataset across the different dimensions of analysis that were described in this paper.  ... 
doi:10.1109/apsipa.2017.8282245 dblp:conf/apsipa/Banchs17 fatcat:sumn4ravirhfrmkgmtqvibspzq

Methods for Efficiently Constructing Text-dialogue-agent System using Existing Anime Characters

Ryo Ishii, Ryuichiro Higashinaka, Koh Mitsuda, Taichi Katayama, Masahiro Mizukami, Junji Tomita, Hidetoshi Kawabata, Emi Yamaguchi, Noritake Adachi, Yushi Aono
2021 Journal of Information Processing  
As a result of a subjective evaluation of the implemented system, our methods for generating verbal and nonverbal behavior improved the impression of the agent's responsiveness and reflected the personality  ...  Therefore, our proposed methods for generating verbal and nonverbal behaviors and the system-construction method are likely to prove a powerful tool for achieving text-dialogue agent systems for existing  ...  Introduction The everyday use of robots and conversation agents by way of smartphones has led to the need for dialogue techniques that allow freely chatting with these agents and robots.  ... 
doi:10.2197/ipsjjip.29.30 fatcat:nphvvtz7uzh5zmm7pnw33wtqnq

Dialogue Design and Management for Multi-Session Casual Conversation with Older Adults [article]

S. Zahra Razavi, Lenhart K. Schubert, Benjamin Kane, Mohammad Rafayet Ali, Kimberly Van Orden, Tianyi Ma
2019 arXiv   pre-print
The results show that the automatic dialogue manager was able to handle conversation with the users smoothly and naturally.  ...  In this paper, we analyze the dialogues collected from the first session between LISSA and each of 8 participants.  ...  The dialogue manager leads engaging conversations with users on various everyday and personal topics.  ... 
arXiv:1901.06620v2 fatcat:7u5csdd34rd4nojq5w33uhzbhi

Conversational agents in healthcare: a systematic review

Liliana Laranjo, Adam G Dunn, Huong Ly Tong, Ahmet Baki Kocaballi, Jessica Chen, Rabia Bashir, Didi Surian, Blanca Gallego, Farah Magrabi, Annie Y S Lau, Enrico Coiera
2018 JAMIA Journal of the American Medical Informatics Association  
Dialogue management strategies were mostly finite-state and frame-based (6 and 7 conversational agents, respectively); agent-based strategies were present in one type of system.  ...  Objective: Our objective was to review the characteristics, current applications, and evaluation measures of conversational agents with unconstrained natural language input capabilities used for health-related  ...  ACKNOWLEDGEMENTS We thank Mohamed Khalifa for the help with screening reference lists and extracting information on funding sources and conflict of interests.  ... 
doi:10.1093/jamia/ocy072 pmid:30010941 fatcat:6zdhay4jenal3ogiegkc7v5m6y

Personalizing Dialogue Agents: I have a dog, do you have pets too?

Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, Jason Weston
2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
Since (ii) is initially unknown, our model is trained to engage its partner with personal topics, and we show the resulting dialogue can be used to predict profile information about the interlocutors.  ...  We collect data and train models to (i) condition on their given profile information; and (ii) information about the person they are talking to, resulting in improved dialogues, as measured by next utterance  ...  In the case of goal-oriented dialogue some work has focused on the agent being aware of the human's profile and adjusting the dialogue accordingly, but without a personality to the agent itself (Lucas  ... 
doi:10.18653/v1/p18-1205 dblp:conf/acl/KielaWZDUS18 fatcat:f7i6okq7mjbdbnedoybbxxthpq

Socially-Aware Animated Intelligent Personal Assistant Agent

Yoichi Matsuyama, Arjun Bhardwaj, Ran Zhao, Oscar Romeo, Sushma Akoju, Justine Cassell
2016 Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue  
The presented agent aids conference attendees by eliciting their preferences through building rapport, and then making informed personalized recommendations about sessions to attend and people to meet.  ...  ) behaviours to estimate its rapport level with the user, and uses its own appropriate visual, vocal and verbal behaviors to achieve task and social goals.  ...  of the dialogue (stored by the task history) and other contextual information (e.g., how many sessions the agent has recommended so far).  ... 
doi:10.18653/v1/w16-3628 dblp:conf/sigdial/MatsuyamaBZRAC16 fatcat:f2sibq52yzasrkoeldczzrjpqu

Evaluation of Question-Answering System About Conversational Agent's Personality [chapter]

Hiroaki Sugiyama, Toyomi Meguro, Ryuichiro Higashinaka
2016 Lecture Notes in Electrical Engineering  
However, the effectiveness of personality-question-answering for conversational agents has not been investigated.  ...  Since this behavior also appears in conversational dialogues with a dialogue system, systems must be developed to respond to such questions.  ...  In this study, we examine the effectiveness of personality QA in casual dialogues between users and conversational agents.  ... 
doi:10.1007/978-981-10-2585-3_14 fatcat:sidb64bervclhbbjn3tvo2jaym

Key-Value Retrieval Networks for Task-Oriented Dialogue [article]

Mihail Eric, Christopher D. Manning
2017 arXiv   pre-print
information retrieval, and point-of-interest navigation.  ...  according to both automatic and human evaluation metrics.  ...  Acknowledgments The authors wish to thank He He, Peng Qi, Urvashi Khandelwal, and Reid Pryzant for their valuable feedback and insights.  ... 
arXiv:1705.05414v2 fatcat:h4d3aoforzdgdbhix2bqc3rdlm

Key-Value Retrieval Networks for Task-Oriented Dialogue

Mihail Eric, Lakshmi Krishnan, Francois Charette, Christopher D. Manning
2017 Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue  
information retrieval, and point-of-interest navigation.  ...  according to both automatic and human evaluation metrics.  ...  Acknowledgments The authors wish to thank He He, Peng Qi, Urvashi Khandelwal, and Reid Pryzant for their valuable feedback and insights.  ... 
doi:10.18653/v1/w17-5506 dblp:conf/sigdial/EricKCM17 fatcat:fglbnktosjdrvpd2xdlgn6gh4m
« Previous Showing results 1 — 15 out of 38,480 results