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Analyzing and Characterizing User Intent in Information-seeking Conversations

Chen Qu, Liu Yang, W. Bruce Croft, Johanne R. Trippas, Yongfeng Zhang, Minghui Qiu
2018 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18  
In this paper, we introduce a new dataset designed for this purpose and use it to analyze information-seeking conversations by user intent distribution, co-occurrence, and flow patterns.  ...  Understanding and characterizing how people interact in information-seeking conversations is crucial in developing conversational search systems.  ...  ACKNOWLEDGMENTS This work was supported in part by the Center for Intelligent Information Retrieval and in part by NSF grant #IIS-1419693 and NSF grant #IIS-1715095.  ... 
doi:10.1145/3209978.3210124 dblp:conf/sigir/QuYCTZQ18 fatcat:ieei3aoawfa3fdyicugowfpnka

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems [article]

Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen
2020 arXiv   pre-print
In this paper, we analyze user intent patterns in information-seeking conversations and propose an intent-aware neural response ranking model "IART", which refers to "Intent-Aware Ranking with Transformers  ...  Understanding user intent such as clarification questions, potential answers and user feedback in information-seeking conversations is critical for retrieving good responses.  ...  ID In this paper, we analyze user intent in information-seeking conversations and propose neural ranking models with the integration of user intent modeling.  ... 
arXiv:2002.00571v1 fatcat:e7e54ph3rnbv7hzlvo7i6svaby

3.10 Ranking People Ranking People

Markus Bernhard Strohmaier
2020 Dagstuhl Reports  
4 Working groups Defining Conversational Search  ...  Conversational information seeking (CIS) has been recognized as a major emerging research area in information retrieval.  ...  Introduction to Deep Learning in NLP Conversational Search in the Enterprise Search queries are often short, and the underlying user intent may be ambiguous.  ... 
doi:10.18154/rwth-conv-243302 fatcat:cn5d6n3worff7epk45iaxcfwr4

User Intent Prediction in Information-seeking Conversations

Chen Qu, Liu Yang, W. Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu
2019 Proceedings of the 2019 Conference on Human Information Interaction and Retrieval - CHIIR '19  
Due to the limited communication bandwidth in conversational search, it is important for conversational assistants to accurately detect and predict user intent in information-seeking conversations.  ...  Our findings can provide insights into the important factors and effective methods of user intent prediction in information-seeking conversations.  ...  ACKNOWLEDGMENTS This work was supported in part by the Center for Intelligent Information Retrieval and in part by NSF IIS-1715095.  ... 
doi:10.1145/3295750.3298924 dblp:conf/chiir/Qu0CZTQ19 fatcat:mtgyzfi3drd7vkuje4s5y4oczy

Social Media-Based Collaborative Information Access

Lynda Tamine, Laure Soulier, Lamjed Ben Jabeur, Frederic Amblard, Chihab Hanachi, Gilles Hubert, Camille Roth
2016 Proceedings of the 27th ACM Conference on Hypertext and Social Media - HT '16  
The notion of implicit (or explicit) collaborative information access refers to systems and practices allowing a group of users to unintentionally (respectively intentionally) seek, share and retrieve  ...  Despite an increasing adoption in social environments, collaboration behavior in information seeking and retrieval is mainly limited to small-sized groups, generally restricted to working spaces.  ...  ) seek, share and retrieve information to achieve similar (respectively shared) information-related goals.  ... 
doi:10.1145/2914586.2914589 dblp:conf/ht/TamineSJAHHR16 fatcat:klfjixdhwrb6lpa43bj7tigzky

Revealing Intention In Health-related Peer Interactions: Implications For Optimizing Patient Engagement In Self-health Management

Tavleen Singh, Jing Wang, Sahiti Myneni
2021 AMIA Annual Symposium Proceedings  
In this paper, we propose an analytical framework to characterize communication intent, content, and social ties in online peer interactions.  ...  Results indicate the informational needs of users expressed in forms of speech acts can vary across different user engagement and disease management profiles.  ...  Acknowledgment Research reported in this publication was supported by the National Library of Medicine and National Cancer Institute of the National Institutes of Health under award numbers 1R01LM012974  ... 
pmid:33936488 pmcid:PMC8075471 fatcat:53pcthx62vgdpnhjtyoj2kj4j4

Web 2.0 and Learning: When the Use of an Informal Context can Bring Help in a Formal Context

Eugénie Duthoit, Stéphanie Mailles-Viard Metz
2012 Procedia - Social and Behavioral Sciences  
It was analyzed using conversational analysis literature (Marcoccia, 2004) and cognitive science (Pelissier, & Mailles-Viard Metz, 2010) in order to investigate how help (Puustinen and Rouet, 2009) is  ...  processed and how mutual assistance is constructed in an informal context linked to a institutional context.  ...  We focalized the current research on the help seeking and more specifically on the help seeking from an unknown human, by analyzing mediated interactions between two users of the Web 2.0 Furthermore, in  ... 
doi:10.1016/j.sbspro.2012.05.083 fatcat:24k7d65avffmvk2kauffubblo4

"Alexa, Do You Want to Build a Snowman?" Characterizing Playful Requests to Conversational Agents

Chen Shani, Alexander Libov, Sofia Tolmach, Liane Lewin-Eytan, Yoelle Maarek, Dafna Shahaf
2022 CHI Conference on Human Factors in Computing Systems Extended Abstracts  
To map the problem's landscape, we draw inspiration from humor theories and analyze real user data. We present a taxonomy of playful requests and explore its prevalence in real Alexa traffic.  ...  We take a step towards understanding and scaling playfulness by characterizing playful opportunities.  ...  This work was supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant no. 852686, SIAM) and by Amazon Research Awards (Shahaf).  ... 
doi:10.1145/3491101.3519870 fatcat:st5wz3pqqff5davyoow5ysanlu

Conversational Search (Dagstuhl Seminar 19461)

Avishek Anand, Lawrence Cavedon, Hideo Joho, Mark Sanderson, Benno Stein
2020 Dagstuhl Reports  
Dagstuhl Seminar 19461 "Conversational Search" was held on 10-15 November 2019. 44 researchers in Information Retrieval and Web Search, Natural Language Processing, Human Computer Interaction, and Dialogue  ...  Systems were invited to share the latest development in the area of Conversational Search and discuss its research agenda and future directions.  ...  The organisers were in part supported by JSPS KAKENHI Grant Number 19H04418.  ... 
doi:10.4230/dagrep.9.11.34 dblp:journals/dagstuhl-reports/AnandCJSS19 fatcat:ctqyitsfifcbbecio5dnx2i62y

Examining and Supporting Laypeople's Learning in Online Health Information Seeking

Yu Chi
2019 Proceedings of the 2019 Conference on Human Information Interaction and Retrieval - CHIIR '19  
CCS CONCEPTS • Information systems → Users and interactive retrieval; KEYWORDS search as learning; health information seeking; source selection; system design  ...  Health information seeking (HIS, hereafter) is a domain-specific search [14] , where users who possess higher knowledge tend to have better strategies and performances in solving their search tasks [3,  ...  Table 1 : 1 The Mapping Between Health Information Seeking Intentions and Depths of learning Depths of Learning [1] HIS Intentions [4] Task Design Guidance Understand Evidence-based HIS pursuit  ... 
doi:10.1145/3295750.3298975 dblp:conf/chiir/Chi19 fatcat:cykflykn7zh7xg7go72g5jkwxe

Conversational Search – A Report from Dagstuhl Seminar 19461 [article]

Avishek Anand, Lawrence Cavedon, Matthias Hagen, Hideo Joho, Mark Sanderson, Benno Stein
2020 arXiv   pre-print
Dagstuhl Seminar 19461 "Conversational Search" was held on 10-15 November 2019. 44~researchers in Information Retrieval and Web Search, Natural Language Processing, Human Computer Interaction, and Dialogue  ...  Systems were invited to share the latest development in the area of Conversational Search and discuss its research agenda and future directions.  ...  research discovered a tension between explicit user modeling and user modeling through the participants' direct interactions with information objects, and relates that tension to both the nature and extent  ... 
arXiv:2005.08658v1 fatcat:ekkylrysezfkfcwkuk5ynrcwki

Understanding user behavior in naturalistic information search tasks

Tung Vuong, Miamaria Saastamoinen, Giulio Jacucci, Tuukka Ruotsalo
2019 Journal of the Association for Information Science and Technology  
(iv) Users' leisure information-seeking activity is occurring inherently within social media services or comes from social communication platforms.  ...  The implications of our findings for information access and management systems are discussed.  ...  We seek to inform and motivate our approach of studying search behaviors in naturalistic settings by analyzing continuous recordings of users' computer screens.  ... 
doi:10.1002/asi.24201 fatcat:sjfg4si7qvgl7l46cgzi6mzj6e

"What is the best method of family planning for me?": a text mining analysis of messages between users and agents of a digital health service in Kenya

Eric P Green, Alexandra Whitcomb, Cynthia Kahumbura, Joseph G Rosen, Siddhartha Goyal, Daphine Achieng, Ben Bellows
2019 Gates Open Research  
We also conducted two manual coding exercises: (1) We manually classified the intent of 3,834 user messages in a training dataset; and (2) We manually coded all conversations between a random subset of  ...  In this paper, we apply a text mining approach to characterize the ways that Kenyan men and women communicated with the first iterations of askNivi, a free sexual and reproductive health information service  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.12688/gatesopenres.12999.1 pmid:31410395 pmcid:PMC6688461 fatcat:fufroxqyuzdy5c62ilprryu5g4

Understanding User Satisfaction with Intelligent Assistants

Julia Kiseleva, Kyle Williams, Jiepu Jiang, Ahmed Hassan Awadallah, Aidan C. Crook, Imed Zitouni, Tasos Anastasakos
2016 Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval - CHIIR '16  
They allow for a radical change in information access, not only in voice control and touch gestures but also in longer sessions and dialogues preserving context, necessitating to evaluate their effectiveness  ...  H.5.2 [Information Interfaces and Presentation]: User Interfaces-evaluation/methodology, interaction styles, voice I/O  ...  Acknowledgments We thank Sarvesh Nagpal and Toby Walker for the help in collecting the internal API data for the user study. We also thank the participants in the study.  ... 
doi:10.1145/2854946.2854961 dblp:conf/chiir/KiselevaWJACZA16 fatcat:e7o4hkrhkbchxmeop6qhfiecmm

Building a Chatbot for the Department of ECE using Flask

G V Pradeep Kumar
2021 International Journal for Research in Applied Science and Engineering Technology  
to give the response that the user intends to get.  ...  A Chatbot aims to make a conversation between both human and machine. The machine has been embedded with knowledge to identify the sentences and make a decision as the response to a question.  ...  an effort to seek out common spelling mistakes or typographical errors that might the user intent to convey.  ... 
doi:10.22214/ijraset.2021.34865 fatcat:ule4apebxvccjkkicurta3qiey
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