Eliciting users' demand for interface features

Oded Nov, Han Su

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    How valuable are certain interface features to their users? How can users' demand for features be quantified? To address these questions, users' demand curve for the sorting feature was elicited in a controlled experiment, using personal finance as the user context. Users made ten rounds of investment allocation across up to 77 possible funds, thus encountering choice overload, typical of many online environments. Users were rewarded for positive investment returns. To overcome choice overload, users could sort the alternatives based on product attributes (fees, category, fund name, past performance). To elicit their demand for sorting, the experimental design enabled users to forgo 0%-9% of their reward in return for activating the sorting feature. The elicited downward sloping demand curve suggests a curvilinear relationship between sorting use and cost. More broadly, the study offers a way to quantify user demand of UI features, and a basis for comparison between features.

    Original languageEnglish (US)
    Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
    Subtitle of host publicationEngage with CHI
    PublisherAssociation for Computing Machinery
    Volume2018-April
    ISBN (Electronic)9781450356206, 9781450356213
    DOIs
    StatePublished - Apr 20 2018
    Event2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada
    Duration: Apr 21 2018Apr 26 2018

    Other

    Other2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
    CountryCanada
    CityMontreal
    Period4/21/184/26/18

    Fingerprint

    Sorting
    Finance
    Design of experiments
    Costs
    Experiments

    Keywords

    • Choice overload
    • Cost-benefit
    • Demand
    • Economics
    • Feature economics
    • Features
    • Revealed preference
    • User interface

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Graphics and Computer-Aided Design
    • Software

    Cite this

    Nov, O., & Su, H. (2018). Eliciting users' demand for interface features. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April). Association for Computing Machinery. https://doi.org/10.1145/3173574.3173879

    Eliciting users' demand for interface features. / Nov, Oded; Su, Han.

    CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April Association for Computing Machinery, 2018.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Nov, O & Su, H 2018, Eliciting users' demand for interface features. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. vol. 2018-April, Association for Computing Machinery, 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, Canada, 4/21/18. https://doi.org/10.1145/3173574.3173879
    Nov O, Su H. Eliciting users' demand for interface features. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April. Association for Computing Machinery. 2018 https://doi.org/10.1145/3173574.3173879
    Nov, Oded ; Su, Han. / Eliciting users' demand for interface features. CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April Association for Computing Machinery, 2018.
    @inproceedings{c988542fc9c54f758cfddebdc0a382fd,
    title = "Eliciting users' demand for interface features",
    abstract = "How valuable are certain interface features to their users? How can users' demand for features be quantified? To address these questions, users' demand curve for the sorting feature was elicited in a controlled experiment, using personal finance as the user context. Users made ten rounds of investment allocation across up to 77 possible funds, thus encountering choice overload, typical of many online environments. Users were rewarded for positive investment returns. To overcome choice overload, users could sort the alternatives based on product attributes (fees, category, fund name, past performance). To elicit their demand for sorting, the experimental design enabled users to forgo 0{\%}-9{\%} of their reward in return for activating the sorting feature. The elicited downward sloping demand curve suggests a curvilinear relationship between sorting use and cost. More broadly, the study offers a way to quantify user demand of UI features, and a basis for comparison between features.",
    keywords = "Choice overload, Cost-benefit, Demand, Economics, Feature economics, Features, Revealed preference, User interface",
    author = "Oded Nov and Han Su",
    year = "2018",
    month = "4",
    day = "20",
    doi = "10.1145/3173574.3173879",
    language = "English (US)",
    volume = "2018-April",
    booktitle = "CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems",
    publisher = "Association for Computing Machinery",

    }

    TY - GEN

    T1 - Eliciting users' demand for interface features

    AU - Nov, Oded

    AU - Su, Han

    PY - 2018/4/20

    Y1 - 2018/4/20

    N2 - How valuable are certain interface features to their users? How can users' demand for features be quantified? To address these questions, users' demand curve for the sorting feature was elicited in a controlled experiment, using personal finance as the user context. Users made ten rounds of investment allocation across up to 77 possible funds, thus encountering choice overload, typical of many online environments. Users were rewarded for positive investment returns. To overcome choice overload, users could sort the alternatives based on product attributes (fees, category, fund name, past performance). To elicit their demand for sorting, the experimental design enabled users to forgo 0%-9% of their reward in return for activating the sorting feature. The elicited downward sloping demand curve suggests a curvilinear relationship between sorting use and cost. More broadly, the study offers a way to quantify user demand of UI features, and a basis for comparison between features.

    AB - How valuable are certain interface features to their users? How can users' demand for features be quantified? To address these questions, users' demand curve for the sorting feature was elicited in a controlled experiment, using personal finance as the user context. Users made ten rounds of investment allocation across up to 77 possible funds, thus encountering choice overload, typical of many online environments. Users were rewarded for positive investment returns. To overcome choice overload, users could sort the alternatives based on product attributes (fees, category, fund name, past performance). To elicit their demand for sorting, the experimental design enabled users to forgo 0%-9% of their reward in return for activating the sorting feature. The elicited downward sloping demand curve suggests a curvilinear relationship between sorting use and cost. More broadly, the study offers a way to quantify user demand of UI features, and a basis for comparison between features.

    KW - Choice overload

    KW - Cost-benefit

    KW - Demand

    KW - Economics

    KW - Feature economics

    KW - Features

    KW - Revealed preference

    KW - User interface

    UR - http://www.scopus.com/inward/record.url?scp=85046950170&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85046950170&partnerID=8YFLogxK

    U2 - 10.1145/3173574.3173879

    DO - 10.1145/3173574.3173879

    M3 - Conference contribution

    VL - 2018-April

    BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

    PB - Association for Computing Machinery

    ER -