Who is in the sample? An analysis of real and surrogate users as participants in user study research in the information technology fields

Abstract

Background Constructing a sample of real users as participants in user studies is considered by most researchers to be vital for the validity, usefulness, and applicability of research findings. However, how often user studies reported in information technology academic literature sample real users or surrogate users is unknown. Therefore, it is uncertain whether or not the use of surrogate users in place of real users is a widespread problem within user study practice. Objective To determine how often user studies reported in peer-reviewed information technology literature sample real users or surrogate users as participants. Method We analyzed 725 user studies reported in 628 peer-reviewed articles published from 2013 through 2021 in 233 unique conference and journal outlets, retrieved from the ACM Digital Library, IEEE Xplore, and Web of Science archives. To study the sample selection choices, we categorized each study as generic (i.e., users are from the general population) or targeted (i.e., users are from a specific subpopulation), and the sampled study participants as real users (i.e., from the study population) or surrogate users (i.e., other than real users). Results Our analysis of all 725 user studies shows that roughly two-thirds (75.4%) sampled real users. However, of the targeted studies, only around half (58.4%) sampled real users. Of the targeted studies sampling surrogate users, the majority (69.7%) used students, around one-in-four (23.6%) sampled through crowdsourcing, and the remaining 6.7% of studies used researchers or did not specify who the participants were. Conclusions Key findings are as follows: (a) the state of sampling real users in information technology research has substantial room for improvement for targeted studies; (b) researchers often do not explicitly characterize their study participants in adequate detail, which is probably the most disconcerting finding; and (c) suggestions are provided for recruiting real users, which may be challenging for researchers. Implications The results imply a need for standard guidelines for reporting the types of users sampled for a user study. We provide a template for reporting user study sampling with examples.

Designing Gestures for Data Exploration with Public Displays via Identification Studies

“…We want to highlight that this approach enabled us to collect more data points over a shorter period of time than with an in-lab elicitation study: we observed 133 participants in two days (it took us two weeks to recruit 13 in-lab participants in Stage 2). Additionally, conducting Stage 1 in situ (rather than in the lab) mitigated some of the problems of using surrogate users [3] who may not be representative of the target population [4].…”

“…When conducting elicitation studies, the interaction designers prompt the participants with a system function and ask them what interaction command they would use to activate it. However, they face limitations: recruiting participants for in-lab studies may be a long, expensive, and cumbersome process [2][3][4].…”