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BallotShare: An exploration of the design space for digital voting in the workplace
Newcastle Univ, Culture Lab, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England..
Newcastle Univ, Culture Lab, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England..
Univ Dundee, Dundee, Scotland..ORCID iD: 0000-0002-7423-4323
Newcastle Univ, Culture Lab, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England..ORCID iD: 0000-0002-3127-1917
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2014 (English)In: Computers in human behavior, ISSN 0747-5632, E-ISSN 1873-7692, Vol. 41, p. 433-443Article in journal (Refereed) Published
Abstract [en]

Digital voting is used to support group decision-making in a variety of contexts ranging from politics to mundane everyday collaboration, and the rise in popularity of digital voting has provided an opportunity to re-envision voting as a social tool that better serves democracy. A key design goal for any group decision-making system is the promotion of participation, yet there is little research that explores how the features of digital voting systems themselves can be shaped to configure participation appropriately. In this paper we propose a framework that explores the design space of digital voting from the perspective of participation. We ground our discussion in the design of a social media polling tool called BallotShare; a first instantiation of our proposed framework designed to facilitate the study of decision-making practices in a workplace environment. Across five weeks, participants created and took part in non-standard polls relating to events and other spontaneous group decisions. Following interviews with participants we identified significant drivers and limitations of individual and collective participation in the voting process: social visibility, social inclusion, commitment and delegation, accountability, influence and privacy. (C) 2014 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD , 2014. Vol. 41, p. 433-443
Keywords [en]
Decision making, e-voting, Social voting, HCI
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-259242DOI: 10.1016/j.chb.2014.04.024ISI: 000347755000049Scopus ID: 2-s2.0-85027953721OAI: oai:DiVA.org:kth-259242DiVA, id: diva2:1471904
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QC 20201026

Available from: 2020-09-30 Created: 2020-09-30 Last updated: 2024-03-18Bibliographically approved

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Comber, Rob

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