extended-abstract

Facilitating Continuous Text Messaging in Online Romantic Encounters by Expanded Keywords Enumeration

Authors:

Xiaojuan MaAuthors Info & Claims

CSCW'22 Companion: Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing

Pages 3 - 7

https://doi.org/10.1145/3500868.3559441

Published: 08 November 2022 Publication History

Abstract

An increasing number of people are looking for romantic partners online. Many of them first converse online before deciding whether or not to meet in-person. However, it is often challenging to have smooth and continuous conversations online with someone who they have never met in person. To handle this problem, we built a proof-of-concept system, Tomi, that dynamically suggests various conversation topic seeds related to the latest received messages in real-time. It selects a keyword from an incoming message and returns five contextually relevant topic seeds. In a qualitative study with eight dyads that simulated the common setting of online match-making, users could continue their conversations either by directly or indirectly utilizing the suggested topic seeds. Also, our system boosted their confidence during the chat. Lastly, we analyzed the trade-offs between several design alternatives and presented our reflections on a system supporting continuous conversations with diverse topics.

References

[1]

S.P. Abney, Massachusetts Institute of Technology. Department of Linguistics, and Philosophy. 1983. The English Noun Phrase in Its Sentential Aspect. MIT Department of Linguistics and Philosophy.

[2]

Paul André, m.c. schraefel, Jaime Teevan, and Susan T. Dumais. 2009. Discovery is Never by Chance: Designing for (Un)Serendipity. In Proceedings of the Seventh ACM Conference on Creativity and Cognition (Berkeley, California, USA) (C&C ’09). ACM, New York, NY, USA, 305–314. https://doi.org/10.1145/1640233.1640279

Digital Library

[3]

Eric P.S. Baumer, Xiaotong Xu, Christine Chu, Shion Guha, and Geri K. Gay. 2017. When Subjects Interpret the Data: Social Media Non-use As a Case for Adapting the Delphi Method to CSCW. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (Portland, Oregon, USA) (CSCW ’17). ACM, New York, NY, USA, 1527–1543. https://doi.org/10.1145/2998181.2998182

Digital Library

[4]

Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2 (2006), 77–101. https://doi.org/10.1191/1478088706qp063oa

[5]

Clyde Cash. 2009. List of OkCupid Answers. https://sonichu.com/cwcki/List_of_OkCupid_Answers.

[6]

Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, and Noah A. Smith. 2018. Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. In 23rd International Conference on Intelligent User Interfaces (Tokyo, Japan) (IUI ’18). Association for Computing Machinery, New York, NY, USA, 329–340. https://doi.org/10.1145/3172944.3172983

Digital Library

[7]

Simon De Deyne, Danielle J. Navarro, Amy Perfors, Marc Brysbaert, and Gert Storms. 2019. The “Small World of Words” English word association norms for over 12,000 cue words. Behavior Research Methods 51, 3 (01 Jun 2019), 987–1006. https://doi.org/10.3758/s13428-018-1115-7

[8]

R. Diestel. 2006. Graph Theory. Springer.

[9]

Jennifer L Gibbs, Nicole B Ellison, and Chih-Hui Lai. 2011. First Comes Love, Then Comes Google: An Investigation of Uncertainty Reduction Strategies and Self-Disclosure in Online Dating. Communication Research 38, 1 (2011), 70–100. https://doi.org/10.1177/0093650210377091

[10]

Joey Chiao-Yin Hsiao and Tawanna R. Dillahunt. 2017. People-Nearby Applications: How Newcomers Move Their Relationships Offline and Develop Social and Cultural Capital. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (Portland, Oregon, USA) (CSCW ’17). ACM, New York, NY, USA, 26–40. https://doi.org/10.1145/2998181.2998280

Digital Library

[11]

Julie S. Hui, Darren Gergle, and Elizabeth M. Gerber. 2018. IntroAssist: A Tool to Support Writing Introductory Help Requests. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, Article 22, 13 pages. https://doi.org/10.1145/3173574.3173596

Digital Library

[12]

Ryan Kelly, Daniel Gooch, Bhagyashree Patil, and Leon Watts. 2017. Demanding by Design: Supporting Effortful Communication Practices in Close Personal Relationships. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (Portland, Oregon, USA) (CSCW ’17). ACM, New York, NY, USA, 70–83. https://doi.org/10.1145/2998181.2998184

Digital Library

[13]

Ryan Kelly, Daniel Gooch, and Leon Watts. 2015. Is ‘Additional’ Effort Always Negative?: Understanding Discretionary Work in Interpersonal Communications. In Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (Vancouver, BC, Canada) (CSCW’15 Companion). ACM, New York, NY, USA, 191–194. https://doi.org/10.1145/2685553.2699004

Digital Library

[14]

Ryan Kelly, Daniel Gooch, and Leon Watts. 2018. ’It’s More Like a Letter’: An Exploration of Mediated Conversational Effort in Message Builder. Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 87 (Nov. 2018), 23 pages. https://doi.org/10.1145/3274356

Digital Library

[15]

Joongyum Kim, Taesik Gong, Kyungsik Han, Juho Kim, JeongGil Ko, and Sung-Ju Lee. 2020. Messaging Beyond Texts with Real-Time Image Suggestions. In 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (Oldenburg, Germany) (MobileHCI ’20). Association for Computing Machinery, New York, NY, USA, Article 28, 12 pages. https://doi.org/10.1145/3379503.3403553

Digital Library

[16]

Taewook Kim, Jung Soo Lee, Zhenhui Peng, and Xiaojuan Ma. 2019. Love in Lyrics: An Exploration of Supporting Textual Manifestation of Affection in Social Messaging. Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 79 (Nov. 2019), 27 pages. https://doi.org/10.1145/3359181

Digital Library

[17]

Igor Kotlyar and Dan Ariely. 2013. The effect of nonverbal cues on relationship formation. Computers in Human Behavior 29, 3 (2013), 544 – 551. https://doi.org/10.1016/j.chb.2012.11.020

Digital Library

[18]

Lucian Leahu, Steve Schwenk, and Phoebe Sengers. 2008. Subjective Objectivity: Negotiating Emotional Meaning. In Proceedings of the 7th ACM Conference on Designing Interactive Systems (Cape Town, South Africa) (DIS ’08). ACM, New York, NY, USA, 425–434. https://doi.org/10.1145/1394445.1394491

Digital Library

[19]

Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. 2014. The Stanford CoreNLP Natural Language Processing Toolkit. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics, Baltimore, Maryland, 55–60. https://doi.org/10.3115/v1/P14-5010

[20]

Jean-Bernard Martens. 2019. Interpreting the Diversity in Subjective Judgments. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). ACM, New York, NY, USA, Article 219, 11 pages. https://doi.org/10.1145/3290605.3300449

Digital Library

[21]

Christina Masden and W. Keith Edwards. 2015. Understanding the Role of Community in Online Dating. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI ’15). ACM, New York, NY, USA, 535–544. https://doi.org/10.1145/2702123.2702417

Digital Library

[22]

Tien T. Nguyen, Duyen T. Nguyen, Shamsi T. Iqbal, and Eyal Ofek. 2015. The Known Stranger: Supporting Conversations Between Strangers with Personalized Topic Suggestions. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI ’15). ACM, New York, NY, USA, 555–564. https://doi.org/10.1145/2702123.2702411

Digital Library

[23]

Michael J. Rosenfeld, Reuben J. Thomas, and Sonia Hausen. 2019. Disintermediating your friends: How online dating in the United States displaces other ways of meeting. Proceedings of the National Academy of Sciences 116, 36(2019), 17753–17758. https://doi.org/10.1073/pnas.1908630116

[24]

Iulian V. Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle Pineau. 2016. Building End-to-end Dialogue Systems Using Generative Hierarchical Neural Network Models. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (Phoenix, Arizona) (AAAI’16). AAAI Press, 3776–3783. http://dl.acm.org/citation.cfm?id=3016387.3016435

[25]

T. Shibata, T. Tashima, and K. Tanie. 1999. Subjective interpretation of emotional behavior through physical interaction between human and robot. In IEEE SMC’99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028), Vol. 2. 1024–1029 vol.2. https://doi.org/10.1109/ICSMC.1999.825403

[26]

Shaomei Wu, Lindsay Reynolds, Xian Li, and Francisco Guzmán. 2019. Design and Evaluation of a Social Media Writing Support Tool for People with Dyslexia. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). ACM, New York, NY, USA, Article 516, 14 pages. https://doi.org/10.1145/3290605.3300746

Digital Library

[27]

Jennie Zhang and Taha Yasseri. 2016. What Happens After You Both Swipe Right: A Statistical Description of Mobile Dating Communications. CoRR abs/1607.03320(2016). arxiv:1607.03320http://arxiv.org/abs/1607.03320

[28]

Doug Zytko, Sukeshini Grandhi, and Quentin (Gad) Jones. 2016. The Coaches Said...What?: Analysis of Online Dating Strategies Recommended by Dating Coaches. In Proceedings of the 19th International Conference on Supporting Group Work (Sanibel Island, Florida, USA) (GROUP ’16). ACM, New York, NY, USA, 385–397. https://doi.org/10.1145/2957276.2957287

Digital Library

[29]

Douglas Zytko, Sukeshini A. Grandhi, and Quentin Jones. 2014. Impression Management Struggles in Online Dating. In Proceedings of the 18th International Conference on Supporting Group Work (Sanibel Island, Florida, USA) (GROUP ’14). ACM, New York, NY, USA, 53–62. https://doi.org/10.1145/2660398.2660410

Digital Library

[30]

Douglas Zytko, Victor Regalado, Nicholas Furlo, Sukeshini A. Grandhi, and Quentin Jones. 2020. Supoorting Women in Online Dating with a Messaging Interface that Improves their Face-to-Face Meeting Decisions. Proc. ACM Hum.-Comput. Interact. 4, CSCW, Article 137 (Oct. 2020), 30 pages. https://doi.org/10.1145/3415208

Digital Library

Cited By

Gao JGebreegziabher SChoo KLi TPerrault SMalone T(2024)A Taxonomy for Human-LLM Interaction Modes: An Initial ExplorationExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650786(1-11)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650786

Index Terms

Facilitating Continuous Text Messaging in Online Romantic Encounters by Expanded Keywords Enumeration
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing
  2. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Published In

cover image ACM Conferences

CSCW'22 Companion: Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing

November 2022

318 pages

ISBN:9781450391900

DOI:10.1145/3500868

Editors:
Gary Hsieh
University of Washington, Seattle, USA
,
Anthony Tang
University of Toronto, Toronto, Canada
,
Morgan G. Ames
University of California Berkeley, Berkeley, USA
,
Sharon Ding
University of Glasgow, Glasgow, UK
,
Susan Fussell
Cornell University, Ithaca, USA
,
Vera Liao
Microsoft Research, Montreal, Canada
,
Andrés Monroy-Hernández
Princeton University, Princeton, USA
,
Sean Munson
University of Washington, Seattle, USA
,
Irina Shklovski
University of Copenhagen, Copenhagen, Denmark
,
John Tang
Microsoft Research, Sunnyvale, USA

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Published: 08 November 2022

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CSCW '22: Computer Supported Cooperative Work and Social Computing

November 8 - 22, 2022

Virtual Event, Taiwan

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Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

Gao JGebreegziabher SChoo KLi TPerrault SMalone T(2024)A Taxonomy for Human-LLM Interaction Modes: An Initial ExplorationExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650786(1-11)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650786

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