Supporting Collaborative Sequencing of Small Groups through Visual Awareness

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dc.contributor.authorKim, Tae Sooko
dc.contributor.authorGoyal, Niteshko
dc.contributor.authorKim, Jeongyeonko
dc.contributor.authorKim, Juhoko
dc.contributor.authorHong, Sungsoo Rayko
dc.date.accessioned2021-12-02T06:40:30Z-
dc.date.available2021-12-02T06:40:30Z-
dc.date.created2021-11-28-
dc.date.created2021-11-28-
dc.date.created2021-11-28-
dc.date.created2021-11-28-
dc.date.issued2021-04-
dc.identifier.citationProceedings of the ACM on Human-Computer Interaction, v.5, no.CSCW1, pp.1 - 29-
dc.identifier.issn2573-0142-
dc.identifier.urihttp://hdl.handle.net/10203/289877-
dc.description.abstractCollaborative Sequencing (CoSeq) is the process by which a group collaboratively constructs a sequence. CoSeq is ubiquitous, occurring across diverse situations like trip planning, course scheduling, or book writing. Building a consensus on a sequence is desirable to groups. However, accomplishing this requires groups to dedicate significant effort to comprehensively discuss preferences and resolve conflicts. Furthermore, as numerous decisions must be assessed to construct a sequence, this challenge can be exacerbated in CoSeq. However, little research has aimed to effectively support consensus building in CoSeq. As a first step to systematically understand and support consensus building in CoSeq, we conducted a formative study to gain insights into how visual awareness may facilitate the holistic recognition of preferences and the resolution of conflicts within a group. From the study, we identified design requirements to support consensus building and designed a novel visual awareness technique for CoSeq. We instantiated this design in a collaborative travel itinerary planning system, Twine, and conducted a summative study to evaluate its effects. We found that visual awareness could decrease the effort of communicating preferences by 21%, and participants' comments suggest that it also encouraged group members to behave more cooperatively when building a consensus. We discuss future research directions to further explore the needs and challenges in this unique context and to advance the development of support for CoSeq tasks.-
dc.languageEnglish-
dc.publisherAssociation for Computing Machinery (ACM)-
dc.titleSupporting Collaborative Sequencing of Small Groups through Visual Awareness-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-85132367137-
dc.type.rimsART-
dc.citation.volume5-
dc.citation.issueCSCW1-
dc.citation.beginningpage1-
dc.citation.endingpage29-
dc.citation.publicationnameProceedings of the ACM on Human-Computer Interaction-
dc.identifier.doi10.1145/3449250-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, Juho-
dc.contributor.nonIdAuthorKim, Tae Soo-
dc.contributor.nonIdAuthorGoyal, Nitesh-
dc.contributor.nonIdAuthorKim, Jeongyeon-
dc.contributor.nonIdAuthorHong, Sungsoo Ray-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
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