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"How fancy you are to make us use your fancy tool": Coordinating Individuals' Tool Preference over Group Boundaries

Authors:

Qianqia (Queenie) Zhang,

Michael Muller,

David R. KargerAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 8, Issue GROUP

Article No.: 4, Pages 1 - 31

https://doi.org/10.1145/3633069

Published: 21 February 2024 Publication History

Abstract

When 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.

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Cited By

Zhang HAlhanahnah MAhmed FFatih DLeitner PAli-Eldin A(2024)Machine Learning Systems are Bloated and VulnerableACM SIGMETRICS Performance Evaluation Review10.1145/3673660.365506452:1(37-38)Online publication date: 13-Jun-2024
https://dl.acm.org/doi/10.1145/3673660.3655064
Zhang QLan YGuo KWang D(2024)Lipwatch: Enabling Silent Speech Recognition on Smartwatches using Acoustic SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596148:2(1-29)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659614
Zhang QLiu KWang D(2024)Sensing to Hear through MemoryProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595988:2(1-31)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659598
Show More Cited By

Index Terms

"How fancy you are to make us use your fancy tool": Coordinating Individuals' Tool Preference over Group Boundaries
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 8, Issue GROUP

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January 2024

195 pages

EISSN:2573-0142

DOI:10.1145/3649392

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Jeff Nichols
Apple Inc., United States

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Published: 21 February 2024

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Cited By

Zhang HAlhanahnah MAhmed FFatih DLeitner PAli-Eldin A(2024)Machine Learning Systems are Bloated and VulnerableACM SIGMETRICS Performance Evaluation Review10.1145/3673660.365506452:1(37-38)Online publication date: 13-Jun-2024
https://dl.acm.org/doi/10.1145/3673660.3655064
Zhang QLan YGuo KWang D(2024)Lipwatch: Enabling Silent Speech Recognition on Smartwatches using Acoustic SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596148:2(1-29)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659614
Zhang QLiu KWang D(2024)Sensing to Hear through MemoryProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595988:2(1-31)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659598
Zhang HAlhanahnah MAhmed FFatih DLeitner PAli-Eldin AGaretto MMarin ACiucu FFanti GRighter R(2024)Machine Learning Systems are Bloated and VulnerableAbstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems10.1145/3652963.3655064(37-38)Online publication date: 10-Jun-2024
https://dl.acm.org/doi/10.1145/3652963.3655064
Park SVishwabhan SMuller MKarger D(2024)“I really need your help with this work..”: A System for Navigating the Tricky Terrain of Managing Up by Leveraging One’s Motivation to Get Things DoneACM Transactions on Computer-Human Interaction10.1145/3652603Online publication date: 13-Mar-2024
https://dl.acm.org/doi/10.1145/3652603
Long TGero KChilton L(2024)Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI WorkflowProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661587(782-803)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661587

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