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Augmented cross-recurrence graphs for distinguishing balanced and unbalanced participation

Research Method · All research methods
Evidence · 2 claims (2 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

A new visualization developed by the authors for dual eye-tracking data. The paper states that "we additionally developed a new visualization (augmented cross-recurrence graphs) that allows researchers to distinguish between high JVA groups that have balanced and unbalanced levels of participations." It augments cross-recurrence analysis of gaze data so researchers can see whether similarly high joint visual attention conceals unequal participation between collaborators.

Accounts

  • Augmented cross-recurrence graphs for distinguishing balanced and unbalanced participation: A new visualization developed by the authors for dual eye-tracking data. The paper states that "we additionally developed a new visualization (augmented cross-recurrence graphs) that allows researchers to distinguish between high JVA groups that have balanced and unbalanced levels of participations." It augments cross-recurrence analysis of gaze data so researchers can see whether similarly high joint visual attention conceals unequal participation between collaborators. (Schneider et al. (2018))

Claims

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Key Sources

  • Schneider, B., Sharma, K., Cuendet, S., Zufferey, G., Dillenbourg, P., & Pea, R. (2018). Leveraging mobile eye-trackers to capture joint visual attention in co-located collaborative learning groups. International Journal of Computer-Supported Collaborative Learning, 13(3), 241–261. https://doi.org/10.1007/s11412-018-9281-2
Page metadata
Field Value
type research-method
id augmented-cross-recurrence-graphs-for-distinguishing-balanced-and-unbalanced-participation
title Augmented cross-recurrence graphs for distinguishing balanced and unbalanced participation
description A new visualization developed by the authors for dual eye-tracking data.
status review
generated by process:settle-candidates on 2026-10-18
trust unverified — no one has confirmed this page's content

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