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Record W2940907653 · doi:10.1145/3290605.3300239

To Asymmetry and Beyond!

2019· article· en· W2940907653 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsUniversity of Waterloo
FundersOntario Ministry of Research and InnovationNatural Sciences and Engineering Research Council of CanadaSamsung
KeywordsSocial connectednessPerceptionPsychologyAction (physics)AsymmetryHuman–computer interactionComputer scienceGame mechanicsSocial psychologyCognitive psychologyPhysics

Abstract

fetched live from OpenAlex

Social play can have numerous health benefits but research has shown that not all multiplayer games are effective at promoting social engagement. Asymmetric cooperative games have shown promise in this regard but the design and dynamics of this unique style of play is not yet well understood. To address this, we present the results of two player experience studies using our custom prototype game Beam Me 'Round, Scotty! 2: the first comparing symmetric cooperative play (e.g., where players have the same interface, goals, mechanics, etc.) to asymmetric cooperative play (e.g., where players have differing roles, abilities, interfaces, etc.) and the second comparing the effect of increasing degrees of interdependence between play partners. Our results not only indicate that asymmetric cooperative games may enhance players' perceptions of connectedness, social engagement, immersion, and comfort with a game's controls, but also demonstrate how to further improve these outcomes via deliberate mechanical design changes, such as changes in cooperative action timing and direction of dependence.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.816
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.001

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 head0.010
GPT teacher head0.255
Teacher spread0.245 · 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

Citations81
Published2019
Admission routes2
Has abstractyes

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