Gaze as Evidence for Common Grounding: A Cross-Corpus Analysis of MapTask and MUNDEX

2026-09-15

AI Summary

研究通过分析MapTask和MUNDEX两个任务中的眼神交流，探讨其作为共同理解证据的作用，发现特定的眼动特征与更有效的信息对齐相关。

Abstract

In collaborative tasks with asymmetric information, participants coordinate their understanding through interaction. We ask whether gaze provides evidence about grounding across two such tasks. Working from discrete behavioral annotations, we map HCRC MapTask (Anderson et al., 1991) and MUNDEX (Türk et al., 2023) into a shared partner/task/away vocabulary and compute gaze features around task-relevant dialogue units. In both corpora, aligned reference interpretations (MapTask) and UND (understood) judgments (MUNDEX) are associated with more task-directed gaze and with less partner-directed gaze, lower gaze entropy, and fewer gaze transitions. The associations are clearest for the participant leading the task: in giver-produced references, and in explainer judgments, which also co-vary with the explainee's gaze. In same-speaker MapTask reference chains, the speaker's gaze entropy is lower at the mention where a previously non-aligned referent becomes aligned. The best gaze feature groups improve modestly over controls under grouped cross-validation: temporal features in MapTask and raw proportions in MUNDEX. Because effects are small and several weaken when recurring participants rather than dialogues are the unit of inference, we treat gaze as one contributing cue to grounding, to be interpreted alongside task and dialogue context.

Problem

• gaze
• common grounding
• asymmetric information
• collaborative tasks

Innovation

• gaze
• common grounding
• cross-corpus analysis
• task-directed gaze
• gaze entropy