Information Foraging in E-Voting

Ravi Vatrapu, Scott Robertson

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    In this paper, we present a case study of human-information interaction in the online realm of politics. The case study consists of a participant observed while searching and browsing the internet for campaign information in a mock-voting situation while taking notes that were to be shared with others. Interaction analysis of the case study data consisted of applying Information Foraging Theory to understand participant specific behaviors in searching and browsing. Case study results show skewed time allocation to activities, a tradeoff between enrichment vs. exploitation of search results, and issues with lack of scent, low value perception, and value depletion of information. Potential implications for voter-centered design of evoting
    portals are discussed and future work is outlined.
    In this paper, we present a case study of human-information interaction in the online realm of politics. The case study consists of a participant observed while searching and browsing the internet for campaign information in a mock-voting situation while taking notes that were to be shared with others. Interaction analysis of the case study data consisted of applying Information Foraging Theory to understand participant specific behaviors in searching and browsing. Case study results show skewed time allocation to activities, a tradeoff between enrichment vs. exploitation of search results, and issues with lack of scent, low value perception, and value depletion of information. Potential implications for voter-centered design of evoting
    portals are discussed and future work is outlined.
    LanguageEnglish
    Title of host publicationProceedings of the 27th International Conference on Human Factors in Computing Systems
    EditorsDaniel R. Olsen, Richard B. Arthur
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Date2009
    Pages3799-3804
    ISBN (Print)9781605582474
    DOIs
    StatePublished - 2009
    EventThe ACM Conference on Human Factors in Computing Systems. CHI 2009 - Boston, United States
    Duration: 4 Apr 20099 Apr 2009
    Conference number: 27
    http://www.chi2009.org

    Conference

    ConferenceThe ACM Conference on Human Factors in Computing Systems. CHI 2009
    Number27
    CountryUnited States
    CityBoston
    Period04/04/200909/04/2009
    Internet address

    Cite this

    Vatrapu, R., & Robertson, S. (2009). Information Foraging in E-Voting. In D. R. Olsen, & R. B. Arthur (Eds.), Proceedings of the 27th International Conference on Human Factors in Computing Systems (pp. 3799-3804). New York: Association for Computing Machinery. DOI: 10.1145/1520340.1520574
    Vatrapu, Ravi ; Robertson, Scott. / Information Foraging in E-Voting. Proceedings of the 27th International Conference on Human Factors in Computing Systems. editor / Daniel R. Olsen ; Richard B. Arthur. New York : Association for Computing Machinery, 2009. pp. 3799-3804
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    Vatrapu, R & Robertson, S 2009, Information Foraging in E-Voting. in DR Olsen & RB Arthur (eds), Proceedings of the 27th International Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, pp. 3799-3804, Boston, United States, 04/04/2009. DOI: 10.1145/1520340.1520574

    Information Foraging in E-Voting. / Vatrapu, Ravi; Robertson, Scott.

    Proceedings of the 27th International Conference on Human Factors in Computing Systems. ed. / Daniel R. Olsen; Richard B. Arthur. New York : Association for Computing Machinery, 2009. p. 3799-3804.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    AB - In this paper, we present a case study of human-information interaction in the online realm of politics. The case study consists of a participant observed while searching and browsing the internet for campaign information in a mock-voting situation while taking notes that were to be shared with others. Interaction analysis of the case study data consisted of applying Information Foraging Theory to understand participant specific behaviors in searching and browsing. Case study results show skewed time allocation to activities, a tradeoff between enrichment vs. exploitation of search results, and issues with lack of scent, low value perception, and value depletion of information. Potential implications for voter-centered design of evotingportals are discussed and future work is outlined.

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    Vatrapu R, Robertson S. Information Foraging in E-Voting. In Olsen DR, Arthur RB, editors, Proceedings of the 27th International Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery. 2009. p. 3799-3804. Available from, DOI: 10.1145/1520340.1520574