ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2017
TummyTrials: A Feasibility Study of Using Self-Experimentation to Detect Individualized Food Triggers.
Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital Health Interventions Are Effective for Irritable Bowel Syndrome Self-Management: A Systematic Review.Digestive diseases and sciences · 2025Pooled it
- Pooled it
- Understanding self-monitoring to inform a mobile intervention for binge eating and weight management: A proof-of-concept randomized trial.The International journal of eating disorders · 2022Trial
- Navigation, Adoption, and Use of Digital Health Technologies for Irritable Bowel Syndrome Self-Management: Focus Group Study of Patient Experience and Decision-Making.JMIR human factors · 2026Article
- Persuasive technologies for modifying food habits: a review of mindless, reflective, and social approaches to eating behavior change.Frontiers in digital health · 2026Review
- Instrumental variable approach to estimating individual causal effects in N-of-1 trials: application to ISTOP study.Biostatistics (Oxford, England) · 2025Article
- Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning Perspectives.ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery · 2025Article
- Patient-Generated Collections for Organizing Electronic Health Record Data to Elevate Personal Meaning, Improve Actionability, and Support Patient-Health Care Provider Communication: Think-Aloud Evaluation Study.JMIR human factors · 2025Article
- MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health Condition.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024Article
- Conducting Research at the Intersection of HCI and Health: Building and Supporting Teams with Diverse Expertise to Increase Public Health Impact.Extended abstracts on Human factors in computing systems. CHI Conference · 2024Article
- Approaches to Tailoring Between-Session Mental Health Therapy Activities.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024Article
- Consolidated guidance for behavioral intervention pilot and feasibility studies.Pilot and feasibility studies · 2024Article
- Expert Perspectives on Pilot and Feasibility Studies: A Delphi Study and Consolidation of Considerations for Behavioral Interventions.Research square · 2023Article
- Article
- A Longitudinal Goal Setting Model for Addressing Complex Personal Problems in Mental Health.Proceedings of the ACM on human-computer interaction · 2022Article
- StudyU: A Platform for Designing and Conducting Innovative Digital N-of-1 Trials.Journal of medical Internet research · 2022Article
- Designing Flexible Longitudinal Regimens: Supporting Clinician Planning for Discontinuation of Psychiatric Drugs.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2022Article
- Investigating the Interoperable Health App Ecosystem at the Start of the 21st Century Cures Act.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Review
- Understanding People's Use of and Perspectives on Mood-Tracking Apps: Interview Study.JMIR mental health · 2021Article
- From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Diagnostic self-tracking, the recording of personal information to diagnose or manage a health condition, is a common practice, especially for people with chronic conditions. Unfortunately, many who attempt diagnostic self-tracking have trouble accomplishing their goals. People often lack knowledge and skills needed to design and conduct scientifically rigorous experiments, and current tools provide little support. To address these shortcomings and explore opportunities for diagnostic self-tracking, we designed, developed, and evaluated a mobile app that applies a self-experimentation framework to support patients suffering from irritable bowel syndrome (IBS) in identifying their personal food triggers. TummyTrials aids a person in designing, executing, and analyzing self-experiments to evaluate whether a specific food triggers their symptoms. We examined the feasibility of this approach in a field study with 15 IBS patients, finding that participants could use the tool to reliably undergo a self-experiment. However, we also discovered an underlying tension between scientific validity and the lived experience of self-experimentation. We discuss challenges of applying clinical research methods in everyday life, motivating a need for the design of self-experimentation systems to balance rigor with the uncertainties of everyday life.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.