MétaCan
Menu
Back to cohort
Record W3132243953 · doi:10.2196/19765

The Development of an Escape Room–Based Serious Game to Trigger Social Interaction and Communication Between High-Functioning Children With Autism and Their Peers: Iterative Design Approach

2021· article· en· W3132243953 on OpenAlexvenueno aff
Gijs Terlouw, Derek Kuipers, Job van ‘t Veer, Jelle Prins, Jean-Pierre E. N. Pierie

Bibliographic record

VenueJMIR Serious Games · 2021
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
FundersAccare
KeywordsAutismAutism spectrum disorderPsychological interventionPsychologySocial relationSocial skillsBridge (graph theory)Affect (linguistics)Developmental psychologySocial communicationSocial psychologyMedicineCommunicationPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Children with autism spectrum disorder (ASD) have social deficits that affect social interactions, communication, and relationships with peers. Many existing interventions focus mainly on improving social skills in clinical settings. In addition to the direct instruction-based programs, activity-based programs could be of added value, especially to bridge the relational gap between children with ASD and their peers. OBJECTIVE: The aim of this study is to describe an iterative design process for the development of an escape room-based serious game as a boundary object. The purpose of the serious game is to facilitate direct communication between high-functioning children with ASD and their peers, for the development of social skills on the one hand and strengthening relationships with peers through a fun and engaging activity on the other hand. METHODS: This study is structured around the Design Research Framework to develop an escape room through an iterative-incremental process. With a pool of 37 children, including 23 children diagnosed with ASD (5 girls) and 14 children (7 girls) attending special primary education for other additional needs, 4 testing sessions around different prototypes were conducted. The beta prototype was subsequently reviewed by experts (n=12). During the design research process, we examined in small steps whether the developed prototypes are feasible and whether they have the potential to achieve the formulated goals of different stakeholders. RESULTS: By testing various prototypes, several insights were found and used to improve the design. Insights were gained in finding a fitting and appealing theme for the children, composing the content, and addressing different constraints in applying the goals from the children's and therapeutic perspectives. Eventually, a multiplayer virtual escape room, AScapeD, was developed. Three children can play the serious game in the same room on tablets. The first test shows that the game enacts equal cooperation and communication among the children. CONCLUSIONS: This paper presents an iterative design process for AScapeD. AScapeD enacts equal cooperation and communication in a playful way between children with ASD and their peers. The conceptual structure of an escape room contributes to the natural emergence of communication and cooperation. The iterative design process has been beneficial for finding a constructive game structure to address all formulated goals, and it contributed to the design of a serious game as a boundary object that mediates the various objectives of different stakeholders. We present 5 lessons learned from the design process. The developed prototype is feasible and has the potential to achieve the goals of the serious game.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0030.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.296
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations59
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Serious GamesSame topicAutism Spectrum Disorder ResearchFrench-language works237,207