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Record W3160658821 · doi:10.1145/3411764.3445664

Meeting You, Seeing Me: The Role of Social Anxiety, Visual Feedback, and Interface Layout in a Get-to-Know-You Task via Video Chat.

2021· article· en· W3160658821 on OpenAlexaff
Matthew K. Miller, Martin Dechant, Regan L. Mandryk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsTask (project management)AnxietySocial anxietyInterface (matter)Affect (linguistics)PsychologyPresentation (obstetrics)Interpersonal communicationComputer scienceMultimediaApplied psychologySocial psychologyCommunication

Abstract

fetched live from OpenAlex

The growing number of video chat users includes socially anxious people, but it is not known how video chat interfaces affect their interpersonal interactions. In our first study, we use a get-to-know-you task to show that when video feedback of oneself is disabled, higher social anxiety is associated with more public self-awareness, use of 2nd person pronouns, and experienced anxiety. Higher social anxiety was linked to discussing more topics, but discussing more topics only elicited higher self-disclosure and trust when social anxiety was low. In our second study, we assess these same effects using a presentation layout video chat interface and observe no effects of social anxiety on public self-awareness, 2nd person pronoun use, or number of topics discussed; no effect of feedback on experienced anxiety; and no link between number of topics and self-disclosure. Video chat adopters and designers should consider how feedback and interface layout affect conversations.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.007
GPT teacher head0.294
Teacher spread0.288 · 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 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

Citations25
Published2021
Admission routes1
Has abstractyes

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