Evidence map›Paper›PMID 36816014›Full record

ArticleProceedings of the ACM on human-computer interaction2022

Ananya Bhattacharjee, Joseph Jay Williams, Karrie Chou, Justice Tomlinson, Jonah Meyerhoff, Alex Mariakakis, Rachel Kornfield

Abstract read
In one paragraph

Article in Proceedings of the ACM on human-computer interaction, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Framing Helper Therapy to Support User Engagement: Causal Evidence from a Public Deployment of a Mental Health Support Text Messaging Program.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026
    Article
  2. Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools.CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work · 2025
    Article
  3. DIS. Designing Interactive Systems (Conference) · 2025
    Article
  4. Article
  5. Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2023
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ananya BhattacharjeeComputer Science, University of Toronto, Canada.
Joseph Jay WilliamsComputer Science, University of Toronto, Canada.
Karrie ChouRotman Commerce, University of Toronto, Canada.
Justice TomlinsonCognitive Science, University of Toronto, Canada.
Jonah MeyerhoffPreventive Medicine, Northwestern University, USA.
Alex MariakakisComputer Science, University of Toronto, Canada.
Rachel KornfieldCommunication Studies, Northwestern University, USA.

Funding

Technology Enabled Services for Coordinated Care of Depression in Healthcare SettingsP50MH119029 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DAVID CURTIS MOHR · 2020 to 2026
$10.7M
Adaptive Messaging to Support Depression Self-ManagementK01MH125172 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KORNFIELD, RACHEL · 2021 to 2025
$865k
Digital Mental Health Service for Non-Treatment Seeking Young AdultsR34MH124960 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MEYERHOFF, JONAH, MOHR, DAVID CURTIS · 2021 to 2023
$641k
NIMH NIH HHS K01 MH125172NIMH NIH HHS P50 MH119029NIMH NIH HHS R34 MH124960
6 · The paper itself

Abstract

Adopting new psychological strategies to improve mental wellness can be challenging since people are often unable to anticipate how new habits are applicable to their circumstances. Narrative-based interventions have the potential to alleviate this burden by illustrating psychological principles in an applied context. In this work, we explore how stories can be delivered via the ubiquitous and scalable medium of text messaging. Through formative work consisting of interviews and focus group discussions with 15 participants, we identified desirable elements of stories about mental health, including authenticity and relatability. We then deployed story-based text messages to 42 participants to explore challenges regarding both the stories' content (e.g., specific versus generalized) and format (e.g., story length). We observed that our stories helped participants reflect on and identify flaws in their thinking patterns. Our findings highlight design implications and opportunities for mental wellness interventions that utilize stories in text messaging services.

Indexed as

cognitive distortionsmental healthnarrative interventionstoriestext messages

Identifiers

PMID36816014
PMCPMC9933887

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.