@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 = apr,
day = "20",
doi = "10.1145/3173574.3173879",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems",
note = "2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 ; Conference date: 21-04-2018 Through 26-04-2018",
}