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Analyzing Post-dialogue Comments by Speakers – How Do Humans Personalize Their Utterances in Dialogue? –
2016
Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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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]
2011
Lecture Notes in Computer Science
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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]
2018
arXiv
pre-print
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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
2021
Sensors
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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]
2019
arXiv
pre-print
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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]
2022
arXiv
pre-print
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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
2017
2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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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
2021
Journal of Information Processing
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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]
2019
arXiv
pre-print
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2019 pre-print arXiv:1901.06620v1 fatcat:laqucd5xdbhivbbbeil3yndvnu
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
2018
JAMIA Journal of the American Medical Informatics Association
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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?
2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Preserved Fulltext
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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
2016
Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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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]
2016
Lecture Notes in Electrical Engineering
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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]
2017
arXiv
pre-print
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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
2017
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
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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
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