MétaCan
Menu
Back to cohort
Record W4396833202 · doi:10.1145/3613904.3642821

Cohabitant: The Design, Implementation, and Evaluation of a Virtual Reality Application for Interfaith Learning and Empathy Building

2024· article· en· W4396833202 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsUniversity of CalgaryUniversity of Toronto
Fundersnot available
KeywordsEmpathyUsabilityPrejudice (legal term)Interpersonal communicationPsychologySocial psychologyComputer scienceHuman–computer interaction

Abstract

fetched live from OpenAlex

Lack of interfaith communication often gives rise to prejudice and group-based conflict in multi-faith societies. Nurturing this communication via interfaith learning may reduce this conflict by fostering interfaith empathy. HCI has a dearth of knowledge on interfaith coexistence and empathy building. To address this gap, we present the design, implementation, and usability of Cohabitant: a virtual reality (VR) application that promotes interfaith learning and empathy. Cohabitant’s design is theoretically underpinned by Allport’s intergroup contact theory and informed by insights from a participatory workshop we ran with members of three religious groups: Christians, Hindus, and Muslims. Our evaluation study, combining quantitative and qualitative data from 30 participants, suggests that Cohabitant may enhance general interpersonal empathy, but falls short for ethnocultural empathy. We discuss the possible design and policy implications of using this kind of VR technology for interfaith learning and empathy building.

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)0.002
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.104
GPT teacher head0.377
Teacher spread0.273 · 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

Quick stats

Citations10
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicMedia, Religion, Digital CommunicationFrench-language works237,207