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Record W2399757696 · doi:10.3233/978-1-61499-415-2-133

Appreciating the Persona Paradox: Lessons from Participatory Design Sessions with HIV+ Gay Men

2014· article· en· W2399757696 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueStudies in health technology and informatics · 2014
Typearticle
Languageen
FieldComputer Science
TopicPersona Design and Applications
Canadian institutionsUniversity of OttawaUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsPersonaParticipatory designHuman immunodeficiency virus (HIV)Stigma (botany)PsychologySocial psychologyIntervention (counseling)LesbianSociologyGender studiesComputer scienceMedicineEngineeringHuman–computer interaction

Abstract

fetched live from OpenAlex

Eliciting user requirements from HIV-positive gay men who smoke can be challenging. This is because of the complex relationship between social stigma and gender identities (e.g., gay, masculine, HIV+, and smoking status). Inspired to engage HIV-positive gay men in the development of a web-assisted tobacco intervention, we used personas as a main communication tool in our participatory design sessions. Personas are characters created by users that embody part of their own behaviours, thoughts, and motivations. In an apparent paradox, this article is a description of how the use of personas to ensure less realistic self-representation provided an impetus for more self-disclosure. Findings and feedbacks from this study reveal that personas are an effective design tool to engage users in sensitive topics. Implications for future work are also discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.145
GPT teacher head0.380
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it