Evidence map›Paper›PMID 38770195›Full record

ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2024

HCI Contributions in Mental Health: A Modular Framework to Guide Psychosocial Intervention Design.

Petr Slovak, Sean A Munson

Abstract read
In one paragraph

Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Proceedings of the ACM on human-computer interaction · 2025
    Article
  3. Micro-narratives: A Scalable Method for Eliciting Stories of People's Lived Experience.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference
    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

2 authors.

Petr SlovakKing's College London, London, UK.
Sean A MunsonUniversity of Washington, Seattle, USA.

Funding

UW ALACRITY Center for Psychosocial Interventions ResearchP50MH115837 · NIMH · UNIVERSITY OF WASHINGTON · PI Michael David Pullmann · 2018 to 2026
$18.2M
Evaluation of an Asynchronous Remote Communities Approach to Behavioral Activation for Depressed AdolescentsR34MH128387 · NIMH · UNIVERSITY OF WASHINGTON · PI JENNESS, JESSICA LYNNE, KIENTZ, JULIE · 2022 to 2024
$726k
NIMH NIH HHS P50 MH115837NIMH NIH HHS R34 MH128387
6 · The paper itself

Abstract

Many people prefer psychosocial interventions for mental health care or other concerns, but these interventions are often complex and unavailable in settings where people seek care. Intervention designers use technology to improve user experience or reach of interventions, and HCI researchers have made many contributions toward this goal. Both HCI and mental health researchers must navigate tensions between innovating on and adhering to the theories of change that guide intervention design. In this paper, we propose a framework that describes design briefs and evaluation approaches for HCI contributions at the scopes of capabilities, components, intervention systems, and intervention implementations. We show how theories of change (from mental health) can be translated into design briefs (in HCI), and that these translations can bridge and coordinate efforts across fields. It is our hope that this framework can support researchers in motivating, planning, conducting, and communicating work that advances psychosocial intervention design.

Indexed as

behavioural sciencecomplex interventionsmental healthpsychosocial interventionstheory

Identifiers

PMID38770195
PMCPMC11105670

What OpenQuestion holds

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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.