DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Tae Soo | ko |
dc.contributor.author | Goyal, Nitesh | ko |
dc.contributor.author | Kim, Jeongyeon | ko |
dc.contributor.author | Kim, Juho | ko |
dc.contributor.author | Hong, Sungsoo Ray | ko |
dc.date.accessioned | 2021-12-02T06:40:30Z | - |
dc.date.available | 2021-12-02T06:40:30Z | - |
dc.date.created | 2021-11-28 | - |
dc.date.created | 2021-11-28 | - |
dc.date.created | 2021-11-28 | - |
dc.date.created | 2021-11-28 | - |
dc.date.issued | 2021-04 | - |
dc.identifier.citation | Proceedings of the ACM on Human-Computer Interaction, v.5, no.CSCW1, pp.1 - 29 | - |
dc.identifier.issn | 2573-0142 | - |
dc.identifier.uri | http://hdl.handle.net/10203/289877 | - |
dc.description.abstract | Collaborative 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.language | English | - |
dc.publisher | Association for Computing Machinery (ACM) | - |
dc.title | Supporting Collaborative Sequencing of Small Groups through Visual Awareness | - |
dc.type | Article | - |
dc.identifier.scopusid | 2-s2.0-85132367137 | - |
dc.type.rims | ART | - |
dc.citation.volume | 5 | - |
dc.citation.issue | CSCW1 | - |
dc.citation.beginningpage | 1 | - |
dc.citation.endingpage | 29 | - |
dc.citation.publicationname | Proceedings of the ACM on Human-Computer Interaction | - |
dc.identifier.doi | 10.1145/3449250 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Kim, Juho | - |
dc.contributor.nonIdAuthor | Kim, Tae Soo | - |
dc.contributor.nonIdAuthor | Goyal, Nitesh | - |
dc.contributor.nonIdAuthor | Kim, Jeongyeon | - |
dc.contributor.nonIdAuthor | Hong, Sungsoo Ray | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
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