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dc.contributor.authorZhang, Qianqia (Queenie)
dc.contributor.authorPark, Soya
dc.contributor.authorMuller, Michael
dc.contributor.authorKarger, David R.
dc.date.accessioned2024-03-01T17:01:54Z
dc.date.available2024-03-01T17:01:54Z
dc.date.issued2024-02-16
dc.identifier.issn2573-0142
dc.identifier.urihttps://hdl.handle.net/1721.1/153629
dc.description.abstractWhen a group makes a decision, it necessitates the understanding and amalgamation of information from different group members. This process becomes particularly intricate in cross-boundary teams, which consist of individuals from diverse organizational backgrounds, each bringing in unique informational tools and representation modalities. People share information generated from their personal tools, and the variance in representation of such information makes it challenging to form cohesive group decisions. We conducted workshop studies with 11 knowledge workers to understand current practices of tool adaptation and negotiation in such teams. The results indicate a reluctance to adopt new tools due to perceived violations of social acceptance, often leading to negative judgments of those suggesting new tools. Consequently, participants in cross-boundary teams gravitated towards their preferred tools, complicating the aggregation of inputs and impeding cohesive decision-making. To address these challenges, we developed a platform facilitating sensemaking and decision-making without necessitating compromises on tool preferences. In our mixed-method within-subject experiments, this approach enabled faster, more informed decision-making with reduced mental load and increased engagement through enhanced social interaction and acknowledgment of diverse contributions.en_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionof10.1145/3633069en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.subjectComputer Networks and Communicationsen_US
dc.subjectHuman-Computer Interactionen_US
dc.subjectSocial Sciences (miscellaneous)en_US
dc.title"How fancy you are to make us use your fancy tool": Coordinating Individuals' Tool Preference over Group Boundariesen_US
dc.typeArticleen_US
dc.identifier.citationZhang, Qianqia (Queenie), Park, Soya, Muller, Michael and Karger, David R. 2024. ""How fancy you are to make us use your fancy tool": Coordinating Individuals' Tool Preference over Group Boundaries." Proceedings of the ACM on Human-Computer Interaction, 8 (GROUP).
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalProceedings of the ACM on Human-Computer Interactionen_US
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-03-01T08:47:17Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2024-03-01T08:47:17Z
mit.journal.volume8en_US
mit.journal.issueGROUPen_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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