Path Modeling of Visual Attention, User Perceptions, and Behavior Change Intentions in Conversations With Embodied Agents in VR

ABSTRACT This study examines how subtitles and image visualizations influence gaze behavior, working alliance, and behavior change intentions in virtual health conversations with ECAs. Visualizations refer to images on a 3D model TV and text on a virtual whiteboard, both reinforcing key content conveyed by the ECA. Using a 2 2 factorial design, participants were randomly assigned to one of four conditions: no subtitles or visualizations (Control), subtitles only (SUB), visualizations only (VIS), or both subtitles and visualizations (VISSUB). Structural equation path modeling showed that SUB and VIS individually reduced gaze toward the ECA, whereas VISSUB moderated this reduction, resulting in less gaze loss than the sum of either condition alone. Gaze behavior was positively associated with working alliance, and perceptions of enjoyment and appropriateness influenced engagement, which in turn predicted behavior change intentions. VIS was negatively associated with behavior change intentions, suggesting that excessive visual input may introduce cognitive trade‐offs.

Authors

Institutions

Publication Details

Journal
Computer Animation and Virtual Worlds
Published
2025-05-01
DOI
https://doi.org/10.1002/cav.70028
Citations
1
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
1.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Path Modeling of Visual Attention, User Perceptions, and Behavior Change Intentions in Conversations With Embodied Agents in VR

D. Tiffany, Samaneh Zamanifard, Andrew T. Duchowski, Vivian Genaro Motti et al.
1 citations
Computer Animation and Virtual Worlds
Virtual Reality Applications and Impacts
1.94
article

Path Modeling of Visual Attention, User Perceptions, and Behavior Change Intentions in Conversations With Embodied Agents in VR

D. Tiffany, Samaneh Zamanifard, Andrew T. Duchowski, Vivian Genaro Motti, Matias Volonte, Bart P. Knijnenburg, Deyrel Diaz, Sagar A. Vankit
article en
1 citations

Abstract

ABSTRACT This study examines how subtitles and image visualizations influence gaze behavior, working alliance, and behavior change intentions in virtual health conversations with ECAs. Visualizations refer to images on a 3D model TV and text on a virtual whiteboard, both reinforcing key content conveyed by the ECA. Using a 2 2 factorial design, participants were randomly assigned to one of four conditions: no subtitles or visualizations (Control), subtitles only (SUB), visualizations only (VIS), or both subtitles and visualizations (VISSUB). Structural equation path modeling showed that SUB and VIS individually reduced gaze toward the ECA, whereas VISSUB moderated this reduction, resulting in less gaze loss than the sum of either condition alone. Gaze behavior was positively associated with working alliance, and perceptions of enjoyment and appropriateness influenced engagement, which in turn predicted behavior change intentions. VIS was negatively associated with behavior change intentions, suggesting that excessive visual input may introduce cognitive trade‐offs.

Computer Animation and Virtual WorldsVol. 36(3)
George Mason University (US), Drexel University (US), Clemson University (US)
Openalex Percentile: Top 15%
Virtual Reality Applications and Impacts
1.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Path Modeling of Visual Attention, User Perceptions, and Behavior Change Intentions in Conversations With Embodied Agents in VR — D. Tiffany, Samaneh Zamanifard, et al. · Computer Animation and Virtual Worlds (2025) | TGRS Research Map | TGRS