TY - JOUR
T1 - Who is in the sample? An analysis of real and surrogate users as participants in user study research in the information technology fields
AU - Salminen, Joni
AU - Jung, Soon gyo
AU - Kamel, Ahmed
AU - Froneman, Willemien
AU - Jansen, Bernard J.
N1 - Publisher Copyright:
© Copyright 2022 Sun et al. Distributed under Creative Commons CC-BY 4.0
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Effect of user studies
KW - External validity
KW - Sampling
KW - Study participants
KW - User studies
KW - Value of user types
UR - http://www.scopus.com/inward/record.url?scp=85142307143&partnerID=8YFLogxK
U2 - 10.7717/PEERJ-CS.1136
DO - 10.7717/PEERJ-CS.1136
M3 - Article
AN - SCOPUS:85142307143
SN - 2376-5992
VL - 8
JO - PeerJ Computer Science
JF - PeerJ Computer Science
M1 - e1136
ER -