Background: Constructing a sample of 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 or is unknown. Therefore, it is uncertain whether or not the use of in place of is a widespread problem within user study practice.
Objective: To determine how often user studies reported in peer-reviewed information technology literature sample or 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 (., users are from the general population) or targeted (., users are from a specific subpopulation), and the sampled study participants as (., from the study population) or (., other than ).
Results: Our analysis of all 725 user studies shows that roughly two-thirds (75.4%) sampled . However, of the targeted studies, only around half (58.4%) sampled . Of the targeted studies sampling , 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 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.
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http://dx.doi.org/10.7717/peerj-cs.1136 | DOI Listing |
J Am Med Inform Assoc
January 2025
Coordinating Center, Observational Health Data Science and Informatics, New York City, NY 10032, United States.
Objective: Propose a framework to empirically evaluate and report validity of findings from observational studies using pre-specified objective diagnostics, increasing trust in real-world evidence (RWE).
Materials And Methods: The framework employs objective diagnostic measures to assess the appropriateness of study designs, analytic assumptions, and threats to validity in generating reliable evidence addressing causal questions. Diagnostic evaluations should be interpreted before the unblinding of study results or, alternatively, only unblind results from analyses that pass pre-specified thresholds.
Sci Rep
January 2025
Faculty of Philosophy, Philosophy of Science and the Study of Religion, Ludwig-Maximilians-Universität München, Munich, Germany.
This study explores whether labeling AI as either "trustworthy" or "reliable" influences user perceptions and acceptance of automotive AI technologies. Utilizing a one-way between-subjects design, the research presented online participants (N = 478) with a text presenting guidelines for either trustworthy or reliable AI, before asking them to evaluate 3 vignette scenarios and fill in a modified version of the Technology Acceptance Model which covers different variables, such as perceived ease of use, human-like trust, and overall attitude. While labeling AI as "trustworthy" did not significantly influence people's judgements on specific scenarios, it increased perceived ease of use and human-like trust, namely benevolence, suggesting a facilitating influence on usability and an anthropomorphic effect on user perceptions.
View Article and Find Full Text PDFSci Rep
January 2025
College of Engineering and Physical Sciences, Aston University, Birmingham, B4 7ET, UK.
Breathing exercises are used to address a multitude of issues ranging from mental health to physical well-being. While they are recommended for various health conditions, access to professional support is often limited due to time and cost constraints. Virtual Reality technology offers a promising solution for enhancing mindfulness and relaxation practices, including breathing exercises.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada.
The integration of radar technology into smart furniture represents a practical approach to health monitoring, circumventing the concerns regarding user convenience and privacy often encountered by conventional smart home systems. Radar technology's inherent non-contact methodology, privacy-preserving features, adaptability to diverse environmental conditions, and high precision characteristics collectively establish it a compelling alternative for comprehensive health monitoring within domestic environments. In this paper, we introduce a millimeter (mm)-wave radar system positioned strategically behind a seat, featuring an algorithm capable of identifying unique cardiac waveform patterns for healthy subjects.
View Article and Find Full Text PDFMusculoskeletal Care
March 2025
Clinical Trials Research Unit, University of Leeds, Leeds, UK.
Introduction: Persistent knee pain often due to knee osteoarthritis (OA) is a highly prevalent and disabling condition. Electronic-rehabilitation (e-rehab) programmes have the potential to support self-management of knee OA. This study aimed to evaluate user engagement and acceptability of two e-rehab programmes, Group e-rehab, a remote physiotherapy-led programme and My Knee UK, a self-directed web-based exercise programme.
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