Relevant bibliographies by topics / Multi-party conversations

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Multi-party conversations'

Author: Grafiati
Published: 25 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Multi-party conversations"

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Monzoni, Chiara M., and Ritva Laury. "Making referents accessible in multi-party interaction." Eesti ja soome-ugri keeleteaduse ajakiri. Journal of Estonian and Finno-Ugric Linguistics 6, no. 2 (December 18, 2015): 43–62. http://dx.doi.org/10.12697/jeful.2015.6.2.02.

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The paper discusses cases in which referents that have not been mentioned previously are assessed without any overt mention of those referents but are rather made accessible through multimodal means, which are finely calibrated with what else is going on in the conversation. The authors suggest that the cases discussed raise important questions about reference and referentiality. The data are multiperson conversations in Italian and Finnish.
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Glenn, Phillip J. "Initiating shared laughter in multi‐party conversations." Western Journal of Speech Communication 53, no. 2 (August 1989): 127–49. http://dx.doi.org/10.1080/10570318909374296.

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Rahimi, Zahra, and Diane Litman. "Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 8681–88. http://dx.doi.org/10.1609/aaai.v34i05.6393.

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Entrainment is the propensity of speakers to begin behaving like one another in conversation. While most entrainment studies have focused on dyadic interactions, researchers have also started to investigate multi-party conversations. In these studies, multi-party entrainment has typically been estimated by averaging the pairs' entrainment values or by averaging individuals' entrainment to the group. While such multi-party measures utilize the strength of dyadic entrainment, they have not yet exploited different aspects of the dynamics of entrainment relations in multi-party groups. In this paper, utilizing an existing pairwise asymmetric entrainment measure, we propose a novel graph-based vector representation of multi-party entrainment that incorporates both strength and dynamics of pairwise entrainment relations. The proposed kernel approach and weakly-supervised representation learning method show promising results at the downstream task of predicting team outcomes. Also, examining the embedding, we found interesting information about the dynamics of the entrainment relations. For example, teams with more influential members have more process conflict.
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Cowell, Andrew J., Michelle L. Gregory, Joe Bruce, Jereme Haack, Doug Love, Stuart Rose, and Adrienne H. Andrew. "Understanding the Dynamics of Collaborative Multi-Party Discourse." Information Visualization 5, no. 4 (December 2006): 250–59. http://dx.doi.org/10.1057/palgrave.ivs.9500139.

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In this paper, we discuss the efforts underway at the Pacific Northwest National Laboratory in understanding the dynamics of multi-party discourse across a number of communication modalities, such as email, instant messaging traffic and meeting data. Two prototype systems are discussed. The Conversation Analysis Tool (ChAT) is an experimental test-bed for the development of computational linguistic components and enables users to easily identify topics or persons of interest within multi-party conversations, including who talked to whom, when, the entities that were discussed, etc. The Retrospective Analysis of Communication Events (RACE) prototype, leveraging many of the ChAT components, is an application built specifically for knowledge workers and focuses on merging different types of communication data so that the underlying message can be discovered in an efficient, timely fashion.
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El‐Assady, Mennatallah, Rita Sevastjanova, Bela Gipp, Daniel Keim, and Christopher Collins. "NEREx: Named‐Entity Relationship Exploration in Multi‐Party Conversations." Computer Graphics Forum 36, no. 3 (June 2017): 213–25. http://dx.doi.org/10.1111/cgf.13181.

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Ganguly, Debasis, Gareth J. F. Jones, Procheta Sen, Manisha Verma, and Dipasree Pal. "Report on supporting and understanding of conversational dialogues workshop (SUD 2021) at WSDM 2021." ACM SIGIR Forum 55, no. 1 (June 2021): 1–7. http://dx.doi.org/10.1145/3476415.3476420.

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This report describes the workshop on Supporting and Understanding of (multi-party) conversational Dialogues (SUD) organized as a part of the Web Search and Data Mining conference (WSDM) 2021. The aim of SUD workshop was to encourage researchers to investigate automated methods to analyze and understand conversations. We also discuss the release of a dataset that would be useful in IR research on conversations. The dataset was constructed to support the data challenge in SUD workshop and its precursor event - the Retrieval from Conversational Dialogues (RCD) track at the Forum of Information Retrieval and Evaluation (FIRE) 2020.
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Jansson, Gunilla, and Cecilia Wadensjö. "Language brokering in multilingual caregiving settings." Communication and Medicine 13, no. 3 (June 16, 2017): 275–90. http://dx.doi.org/10.1558/cam.26400.

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Using the methodology of conversation analysis to examine audio-recorded multi-party conversations between a Swedish-/Farsi-speaking resident and multilingual staff in a Swedish residential home, this article describes a practice for establishing shared understanding by one caregiver enacting the role of language broker. The focus is on caregiving settings where caregivers assist an elderly person with her personal hygiene. We demonstrate how brokering is used to (1) maintain the conversational flow in a small talk sequence and (2) address the contents in the resident’s complaints. The article thus advances our understanding of language brokering as an activity that multilingual staff in a linguistically asymmetrical workplace setting take on to assist a colleague in performing client-oriented activities.
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Pitaksuksan, Nasree, and Kemtong Sinwongsuwat. "CA-informed Interactional Feature Analysis of Conversations in Textbooks Used for Teaching English Speaking in Thai Secondary Schools." English Language Teaching 13, no. 7 (June 29, 2020): 140. http://dx.doi.org/10.5539/elt.v13n7p140.

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With Conversation Analysis (CA) insights, this paper examines the textbooks used to teach oral English communication to Thai EFL learners in secondary schools. In an attempt to raise the awareness of features of naturally-occurring conversation and help increase the learners’ exposure to these features, two textbook series, hereafter A and B, were purposively sampled for a close examination of their model conversations and related exercises. Six textbooks, three from each series, were obtained from secondary school teachers voluntarily joining a CA-informed English conversation-teaching workshop in lower southern Thailand. The findings showed that textbook series A contains action-driven, function-based communicative content, whereas B is theme/situation-based, being organized around topics or events likely faced by learners in daily life. Both textbook series put more focus on face-to-face dialogues, offering a significantly smaller number of phone and multi-party conversations. The model conversations in both series are presented with punctuation symbols of written language and without any representations of spoken language features such as stress and intonation. Some of the conversations in series B are sequentially incomplete, and while offering students conversations with various types of action sequences, both series can integrate more opening and closing sequences as well as sequences with dispreferred responses into their model conversations. To raise learners’ awareness of features of natural conversation, more instances of repair and overlap may also be integrated into both audio and printed materials. Finally, to achieve the communicative unit goal, more scaffolding exercises can be provided to allow students to practice not only word and sentence pronunciation in isolation, but in relation to achieving a particular interactional goal via the construction of turns in more manageable, meaningful sequences.
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Golato, Andrea. "Strubel-Burgdorf, S.: Compliments and Positive Assessments: Sequential Organization in Multi-party Conversations." Corpus Pragmatics 3, no. 3 (March 20, 2019): 279–84. http://dx.doi.org/10.1007/s41701-019-00053-0.

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Zhang, Li, and John Barnden. "Towards a Semantic-Based Approach for Affect and Metaphor Detection." International Journal of Distance Education Technologies 11, no. 2 (April 2013): 48–65. http://dx.doi.org/10.4018/jdet.2013040103.

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Affect detection from open-ended virtual improvisational contexts is a challenging task. To achieve this research goal, the authors developed an intelligent agent which was able to engage in virtual improvisation and perform sentence-level affect detection from user inputs. This affect detection development was efficient for the improvisational inputs with strong emotional indicators. However, it can also be fooled by the diversity of emotional expressions such as expressions with weak or no affect indicators or metaphorical affective inputs. Moreover, since the improvisation often involves multi-party conversations with several threads of discussions happening simultaneously, the previous development was unable to identify the different discussion contexts and the most intended audiences to inform affect detection. Therefore, in this paper, the authors employ latent semantic analysis to find the underlying semantic structures of the emotional expressions and identify topic themes and target audiences especially for those inputs without strong affect indicators to improve affect detection performance. They also discuss how such semantic interpretation of dialog contexts is used to identify metaphorical phenomena. Initial exploration on affect detection from gestures is also discussed to interpret users’ experience of using the system and provide an extra channel to detect affect embedded in the virtual improvisation. Their work contributes to the journal themes on affect sensing from text, semantic-based dialogue processing and emotional gesture recognition.
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Dissertations / Theses on the topic "Multi-party conversations"

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Kurtic, Emina. "Overlapping talk and turn competition in multi-party conversations." Thesis, University of Sheffield, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574555.

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Although it is not a default mode of communication, overlapping speech is very com- mon in naturally occurring conversations. Previous work has acknowledged that over- lapping speech can be an environment in which conversation parties compete for the speaking turn. Alternatively, overlaps can be noncompetitive and signal interactional collaboration between participants, or simply be a byproduct of regular turn-taking mechanisms. The main goal of this work is to investigate the differences in the prosodic design that are associated with competitive and noncompetitive overlaps, and thus of- fer an account of practices employed by conversation participants for overlap manage- ment. The methodological approach adopted in this work combines conversation analysis (CA) with statistical modelling of overlaps using decision trees. We use CA methods to make a collection of competitive and noncompetitive overlaps from the ICSI Meet- ing Corpus. We then compile a set of prosodic features potentially used as resources for turn competition in overlap based on previous reports from CA studies and our own data analysis. Unlike the CA work, we draw conclusions about the relevance of prosodic cues as resources for overlap competitiveness based on the results of deci- sion tree models of overlap, rather than on impressionistic analysis of a small data set. This methodology enables us to ground the conclusions in the analysis of a larger data collection, while at the same time being able to explain patterns of use of prosodic fea- tures and their combinations as resources used by participants for turn competition in conversation. In this respect our work also departs from other data driven studies on overlap, which are not able to relate the findings on prosodic features to the conversa- tional function of overlap. This methodological approach allows us to reassess previous findings from CA studies on the use of prosodic features as resources for turn competition. We find that each of the evaluated feature sets (fundamental frequency (FO), intensity, speech rate, pausing and overlap duration) can be employed as a turn-competitive resource. When combin- ing these features, participants systematically modify a combination of FO mean and range and intensity range to mark turn competition in overlap. However, the precise combination of prosodic features for turn competition depends on how long speakers persist in overlap. Moreover, these prosodic features are only employed in overlaps placed within the ongoing turn, not when overlapping the final items of the ongoing turn. In turn-final overlaps, it is repetition of overlap onset items (recycling), rather than the prosodic design, which is the main resource for turn competition. Further- more, we evaluate different units of talk over which modifications of prosodic features are made by the participants in competitive and noncompetitive overlaps. As a result of this evaluation, the syllable is identified as the minimal unit of overlap management. The findings of this study are discussed in the context of relevant previous work, and their implications, along with directions for future work, are outlined.
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Liu, Yulan. "Distant speech recognition of natural spontaneous multi-party conversations." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/17691/.

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Distant speech recognition (DSR) has gained wide interest recently. While deep networks keep improving ASR overall, the performance gap remains between using close-talking recordings and distant recordings. Therefore the work in this thesis aims at providing some insights for further improvement of DSR performance. The investigation starts with collecting the first multi-microphone and multi-media corpus of natural spontaneous multi-party conversations in native English with the speaker location tracked, i.e. the Sheffield Wargame Corpus (SWC). The state-of-the-art recognition systems with the acoustic models trained standalone and adapted both show word error rates (WERs) above 40% on headset recordings and above 70% on distant recordings. A comparison between SWC and AMI corpus suggests a few unique properties in the real natural spontaneous conversations, e.g. the very short utterances and the emotional speech. Further experimental analysis based on simulated data and real data quantifies the impact of such influence factors on DSR performance, and illustrates the complex interaction among multiple factors which makes the treatment of each influence factor much more difficult. The reverberation factor is studied further. It is shown that the reverberation effect on speech features could be accurately modelled with a temporal convolution in the complex spectrogram domain. Based on that a polynomial reverberation score is proposed to measure the distortion level of short utterances. Compared to existing reverberation metrics like C50, it avoids a rigid early-late-reverberation partition without compromising the performance on ranking the reverberation level of recording environments and channels. Furthermore, the existing reverberation measurement is signal independent thus unable to accurately estimate the reverberation distortion level in short recordings. Inspired by the phonetic analysis on the reverberation distortion via self-masking and overlap-masking, a novel partition of reverberation distortion into the intra-phone smearing and the inter-phone smearing is proposed, so that the reverberation distortion level is first estimated on each part and then combined.
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Oertel, Catharine. "Modelling Engagement in Multi-Party Conversations : Data-Driven Approaches to Understanding Human-Human Communication Patterns for Use in Human-Robot Interactions." Doctoral thesis, KTH, Tal, musik och hörsel, TMH, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-198175.

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The aim of this thesis is to study human-human interaction in order to provide virtual agents and robots with the capability to engage into multi-party-conversations in a human-like-manner. The focus lies with the modelling of conversational dynamics and the appropriate realization of multi-modal feedback behaviour. For such an undertaking, it is important to understand how human-human communication unfolds in varying contexts and constellations over time. To this end, multi-modal human-human corpora are designed as well as annotation schemes to capture conversational dynamics are developed. Multi-modal analysis is carried out and models are built. Emphasis is put on not modelling speaker behaviour in general and on modelling listener behaviour in particular. In this thesis, a bridge is built between multi-modal modelling of conversational dynamics on the one hand multi-modal generation of listener behaviour in virtual agents and robots on the other hand. In order to build this bridge, a unit-selection multi-modal synthesis is carried out as well as a statistical speech synthesis of feedback. The effect of a variation in prosody of feedback token on the perception of third-party observers is evaluated. Finally, the effect of a controlled variation of eye-gaze is evaluated, as is the perception of user feedback in human-robot interaction.​

QC 20161214

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Börjesson, Erika, and Svensson Sofia Heikkilä. "Nu är det din tur att tala - Designförslag för smidigare turtagning i digitala konferensverktyg." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-45058.

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Användningen av digitala konferensverktyg (DKV) har ökat under pandemin Covid-19 ochanvändare har rapporterat att de upplever kommunikationen mer ansträngande än öga-mot-öga. En utmaning i DKV är att det inte går att rikta uppmärksamhet mot specifika samtalsdeltagare för att det inte går att skapa ögonkontakt vilket försvårar turtagning eftersom det är på så vis turen fördelas mellan samtalsdeltagare. Tidigare forskning visar att turtagning stöds av icke-verbala signaler och främst ögonkontakt och att stöd för turtagning i DKV kan designas utifrån att en ögonscanner som läser av var samtalsdeltagare tittar implementeras. Studien syftar till att undersöka hur olika designval vid design av DKV kan användas för att förbättra användaresupplevelser av turtagning vid samtal mellan flera parter i DKV. För att undersöka nya sätt att designa DKV har en designorienterad studie genomförts där designförslag formats baserade på ögonkontakt och dessa har utvärderats tillsammans med användare. Studiens resultat påvisar att turtagning kan stödjas i flerpartssamtal i DKV genom att addera rörliga visuella element som visar vem som talar nu och vem denne etablerar ögonkontakt med för att lämna över turen. Tre designförslag presenteras för hur detta kan göras.
The use of Digital conference tools (DKV) has increased because of the pandemic Covid-19 and DKV users has reported that the communication is more exhausting than communication face-to-face. A challenge in DKV is the inability to direct attention towards specific conversational participants because of absence of eye contact which makes turn-taking difficult since that is how the turn is allocated between conversational participants. Related work shows that turn-taking is supported by non-verbal signals, primarily eye-contact, and that turntaking can be supported by implementing an eyescanner that interpret where conversational participants direct their gaze. The aim of the study is to investigate how different design choices when designing DKV can be used to improve users’ experiences of turn-taking in multi-party conversations in DKV. In order to explore new ways of designing DKV design research has been used to empirically evaluate suggestions for design based on eyecontact. The result of the study shows that turn-taking can be supported in multi-party conversations in DKV by adding moving visual elements that shows who is the current speaker and who this person is establishing eye contact with to allocate the turn. Three suggestions for design are presented for how this could be done.
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Kumar, Rohit. "Socially Capable Conversational Agents for Multi-Party Interactive Situations." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/162.

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Since the inception of AI research, great strides have been made towards achieving the goal of extending natural language conversation as a medium of interaction with machines. Today, we find many Conversational Agents (CAs) situated in various aspects of our everyday life such as information access, education and entertainment. However, most of the existing work on CAs has focused on agents that support only one user in each interactive session. On the other hand, people organize themselves in groups such as teams of co-workers, family and networks of friends. With the mass-adoption of Internet based communication technologies for group interaction, there is an unprecedented opportunity for CAs to support interactive situations involving multiple human participants. Support provided by these CAs can make the functioning of some of these groups more efficient, enjoyable and rewarding to the participants. Through our work on supporting various Multi-Party Interactive Situations (MPIS), we have identified two problems that must be addressed in order to embed effective CAs in such situations. The first problem highlights the technical challenges involving the development of CAs in MPIS. Existing approaches for modeling agent behavior make assumptions that break down in multi-party interaction. As a step towards addressing this problem, this thesis contributes the Basilica software architecture that uses an event-driven approach to model conversation as an orchestration of triggering of conversational behaviors. This architecture alleviates the technical problems by providing a rich representational capability and the flexibility to address complex interaction dynamics. The second problem involves the choice of appropriate agent behaviors. In MPIS, agents must compete with human participants for attention in order to effectively deliver support and interventions. In this work, we follow a model of human group interaction developed by empirical research in small group communication. This model identifies two fundamental processes in human group interaction, i.e., Instrumental (Task-related) and Expressive (Social-Emotional). Behaviors that constitute this expressive process hold the key to managing and regulating user attention and serve other social functions in group interaction. This thesis describes two socially capable conversational agents that support users in collaborative learning and group decision making activities. Their social capabilities are composed of a set of behaviors based on the Social-Emotional interaction categories identified by work in small group communication. These agents demonstrate the generalizability of our methodology for designing and implementing social capabilities across two very different interactive situations. In addition to the implementation of these agents, the thesis presents a series of experiments and analysis conducted to investigate the effectiveness of these social capabilities. First and foremost, these experiments show significant benefits of the use of socially capable agents on task success and agent perception across the two different interactive situations listed above. Second, they investigate issues related to the appropriate use of these social capabilities specifically in terms of the amount and timing of the constituent social behaviors. Finally, these experiments provide an understanding of the underlying mechanism that explains the effects that social capabilities can achieve.
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Pratley, Rachel. "Linguistic and non-linguistic aspects of topic in multi-party talk." Thesis, Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk:8888/cgi-bin/hkuto%5Ftoc%5Fpdf?B23425180.

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Fujimoto, Donna T. "Agreement and Disagreement: Novice Language Learners in Small Group Discussion." Diss., Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/191866.

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Ed.D.
While the small group discussion is widely used in language classes, there is little empirical research on its efficacy. This research specifically focuses on novice level language students in order to understand the ways that they express agreement and disagreement in group interaction. This study utilizes the methodological framework of Conversation Analysis conducting a micro-analysis of student turn-taking practices and their embodied behavior. This research uncovered the fact that the novice level language learners utilized resources that are not generally considered when investigating agreement and disagreement. Nonverbal actions such as smiles and gaze shifts accomplished affiliative work mitigating disagreement turns. Facial expression, laughter, and gestures were often relied on to compensate for deficits in grammar and lexicon. A second finding of the research was that the students were able to accomplish significantly more as members of a group than they could as individuals. The multi-person context created a framework enabling members to participate. The students demonstrated a high level of collaboration, joining in word searches, successfully constructing collaborated completions, and frequently offering support to each other through receipt tokens, nods, and smiles. They proved to be each other's best resource. Another finding of the study was the importance of basic patterns of turns in effective group discussion. For example, in order for an argumentative sequence to emerge, a third response was expected: Turn 1, the claim; Turn 2, disagreement; and, Turn 3, defense, counterattack, or concession by the first speaker or a different speaker. For less skillful groups where topics were not well developed, only two-part sequences were utilized, not allowing subsequent and related talk to occur. Finally, this study contributes to research on the acquisition of disagreement strategies. Surprisingly, in expressing disagreement, these novice level language students employed a number of different means to express disagreement that were more often associated with advanced learners. For example, they delayed their disagreement turns, and they utilized accounts, exemplification, and elaboration when disagreeing. Though these students were not always able to express themselves fluently, they were nevertheless quite capable in expressing agreement and disagreement in the target language.
Temple University--Theses
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Santos, Muñoz Arantxa. "Conversación digital: copresencia y disponibilidad : Estudio pragmático del preámbulo de reuniones multipartitas por videoconferencia." Doctoral thesis, Uppsala universitet, Romanska språk, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:du-23172.

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The present thesis explores how interaction is initiated in multi-party meetings in Adobe Connect, 7.0, with a particular focus on how co-presence and mutual availability are established through the preambles of 18 meetings held in Spanish without a moderator. Taking Conversation Analysis (CA) as a methodological point of departure, this thesis comprises four different studies, each of them analyzing a particular phenomenon within the interaction of the preambles in a multimodal environment that allows simultaneous interaction through video, voice and text-chat. The first study (Artículo I) shows how participants solve jointly the issue of availability in a technological environment where being online is not necessarily understood as being available for communicating. The second study (Artículo II) focuses on the beginning of the audiovisual interaction; in particular on how participants check the right functioning of the audiovisual mode. The third study (Artículo III) explores silences within the interaction of the preamble. It shows that the length of gaps and lapses become a significant aspect the preambles and how they are connected to the issue of availability.  Finally, the four study introduces the notion of modal alignment, an interactional phenomenon that systematically appears in the beginnings of the encounters, which seems to be used and understood  as a strategy for the establishment of mutual availability and negotiation of the participation framework. As a whole, this research shows how participants, in order to establish mutual co-presence and availability, adapt to a particular technology in terms of participation management, deploying strategies and conveying successive actions which, as it is the case of the activation of their respective webcams, seem to be understood as predictable within the intricate process of establishing mutual availability before the meeting starts.
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YASUI, Eiko, and 永子 安井. "語りの開始にともなう他者への指さし : 多人数会話における指さしのマルチモーダル分析." 名古屋大学文学部, 2014. http://hdl.handle.net/2237/19747.

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Chung-KoYin and 尹崇珂. "Addressee Selection and Deep RL-based Dialog Act Selection with Speaker Embedding and Context Tracking for Multi-Party Conversational Systems." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/h5smz2.

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Books on the topic "Multi-party conversations"

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Robins, Cliff. Members' orientation to a counselling group and the use of delicacy in multi-party conversation. [Guildford]: University of Surrey, 1997.

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Robins, Cliff. Members orientation to a counselling group and the use of delicacy in multi-party conversation. 1997.

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Book chapters on the topic "Multi-party conversations"

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Stergiou, Christos, Jeremy Pitt, Frank Guerin, and Alexander Artikis. "Implementing Multi-party Agent Conversations." In Intelligent Problem Solving. Methodologies and Approaches, 4–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45049-1_2.

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Morgan, Brent, Candice Burkett, Elizabeth Bagley, and Arthur Graesser. "Typed versus Spoken Conversations in a Multi-party Epistemic Game." In Lecture Notes in Computer Science, 513–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21869-9_86.

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Pallotti, Gabriele. "External Appropriations as a Strategy for Participating in Intercultural Multi-Party Conversations." In Culture in Communication, 295. Amsterdam: John Benjamins Publishing Company, 2001. http://dx.doi.org/10.1075/pbns.81.16pal.

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Morgan, Brent, Fazel Keshtkar, Ying Duan, Padraig Nash, and Arthur Graesser. "Using State Transition Networks to Analyze Multi-party Conversations in a Serious Game." In Intelligent Tutoring Systems, 162–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30950-2_21.

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Shiota, Tsukasa, Takashi Yamamura, and Kazutaka Shimada. "Analysis of Facilitators’ Behaviors in Multi-party Conversations for Constructing a Digital Facilitator System." In Collaboration Technologies and Social Computing, 145–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98743-9_12.

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Valente, Fabio, and Alessandro Vinciarelli. "Speaker Diarization of Multi-party Conversations Using Participants Role Information: Political Debates and Professional Meetings." In Mobile Social Signal Processing, 22–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54325-8_3.

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Sakai, Kazuki, Yuichiro Yoshikawa, and Hiroshi Ishiguro. "Rule Extraction Method Considering Reliability for Synchronized Behavior of Group Robots in Multi-party Conversations." In Social Robotics, 687–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70022-9_68.

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Beccaluva, Eleonora, Antonio Chiappetta, Julian Cuellar Mangut, Luca Molteni, Marco Mores, Daniele Occhiuto, and Franca Garzotto. "Deception of the “Elephant in the Room”: Invisible Auditing Multi-party Conversations to Support Caregivers in Cognitive Behavioral Group Therapies." In Human-Computer Interaction. Human Values and Quality of Life, 3–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49065-2_1.

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Linell, Per, and Natascha Korolija. "Coherence in Multi-Party Conversation." In Typological Studies in Language, 167. Amsterdam: John Benjamins Publishing Company, 1997. http://dx.doi.org/10.1075/tsl.34.07lin.

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Dutta, Subhabrata, and Dipankar Das. "Dialogue Modelling in Multi-party Social Media Conversation." In Text, Speech, and Dialogue, 219–27. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64206-2_25.

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Conference papers on the topic "Multi-party conversations"

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Ranathunga, Surangika. "Retrieving abstract information from multi-party conversations." In 2014 International Conference on Advances in ICT for Emerging Regions (ICTer). IEEE, 2014. http://dx.doi.org/10.1109/icter.2014.7083905.

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Heylen, Dirk, and Rieks op den Akker. "Computing backchannel distributions in multi-party conversations." In the Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2007. http://dx.doi.org/10.3115/1610065.1610068.

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Katagiri, Yasuhiro. "Aiduti in Japanese multi-party design conversations." In the Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2007. http://dx.doi.org/10.3115/1610065.1610067.

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Shiota, Tsukasa, Kouki Honda, Kazutaka Shimada, and Takeshi Saitoh. "Leader Identification Using Multimodal Information in Multi-party Conversations." In 2020 International Conference on Asian Language Processing (IALP). IEEE, 2020. http://dx.doi.org/10.1109/ialp51396.2020.9310465.

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Katagiri, Yasuhiro, Yasuharu Den, Masato Ishizaki, Yosuke Matsusaka, Mika Enomoto, and Katsuya Takanashi. "Implicit proposal filtering in multi-party consensus-building conversations." In the 9th SIGdial Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2008. http://dx.doi.org/10.3115/1622064.1622084.

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Shiota, Tsukasa, Kouki Honda, Kazutaka Shimada, and Takeshi Saitoh. "Leader Identification Using Multimodal Information in Multi-party Conversations." In 2020 International Conference on Asian Language Processing (IALP). IEEE, 2020. http://dx.doi.org/10.1109/ialp51396.2020.9310465.

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Wang, Weishi, Steven C. H. Hoi, and Shafiq Joty. "Response Selection for Multi-Party Conversations with Dynamic Topic Tracking." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.533.

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Barker, Emma, and Robert Gaizauskas. "Summarizing Multi-Party Argumentative Conversations in Reader Comment on News." In Proceedings of the Third Workshop on Argument Mining (ArgMining2016). Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-2802.

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Inoue, Koji, Yukoh Wakabayashi, Hiromasa Yoshimoto, and Tatsuya Kawahara. "Speaker diarization using eye-gaze information in multi-party conversations." In Interspeech 2014. ISCA: ISCA, 2014. http://dx.doi.org/10.21437/interspeech.2014-137.

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Divekar, Rahul R., Xiangyang Mou, Lisha Chen, Maíra Gatti de Bayser, Melina Alberio Guerra, and Hui Su. "Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/940.

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Abstract:
In a setting where two AI agents embodied as animated humanoid avatars are engaged in a conversation with one human and each other, we see two challenges. One, determination by the AI agents about which one of them is being addressed. Two, determination by the AI agents if they may/could/should speak at the end of a turn. In this work we bring these two challenges together and explore the participation of AI agents in multi-party conversations. Particularly, we show two embodied AI shopkeeper agents who sell similar items aiming to get the business of a user by competing with each other on the price. In this scenario, we solve the first challenge by using headpose (estimated by deep learning techniques) to determine who the user is talking to. For the second challenge we use deontic logic to model rules of a negotiation conversation.
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