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STD PONG 2.0: Field Evaluation of a Mobile Persuasive game for Discouraging Risky Sexual Behaviours among Africans Youths

2021· article· en· W3203471170 on OpenAlexaff
Chinenye Ndulue, Rita Orji

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsDalhousie University
Fundersnot available
KeywordsIntervention (counseling)Persuasive technologyPsychologyReproductive healthAsideApplied psychologySexual behaviorAdvertisingSocial psychologyMedicinePersuasionEnvironmental healthBusinessPopulation

Abstract

fetched live from OpenAlex

Playing mobile games has become a very popular activity in our society today. Aside from being a very common leisure-time activity, researchers have begun to design games to solve real-life problems in many domains, including in the domain of health and wellness. A major challenge in the domain of health and wellness is the spread of Sexually Transmitted Diseases (STDs). This paper presents the design and field evaluation of a mobile persuasive game intervention aimed at promoting change in risky sexual behaviour among African youths titled STD PONG 2. 0. The results of the field evaluation on 41 African youths showed that STD PONG 2.0 was effective at motivating change in risky sexual behaviours by promoting a positive attitude, intention, and self-efficacy against risky sexual behaviours. The game also led to a significant increase in the knowledge about STDs and its preventive measures. Finally, we propose some design suggestions for developing persuasive games targeted at Africans generally and African rural communities based on our findings.

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.

How this classification was reachedexpand

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.041
GPT teacher head0.347
Teacher spread0.305 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2021
Admission routes1
Has abstractyes

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