Towards the Ecological Automated Measurement of Joint Attention: Development of an Interactive Eye-tracking Battery for Joint Attention in Children with and without Autism

Background: Eye tracking has emerged as a powerful tool for advancing autism research, including diagnostics and interventions. However, studies on joint attention (JA) in autistic children have predominantly concentrated on the responding to joint attention (RJA) construct, with limited focus on the initiating joint attention (IJA) construct. Moreover, despite the interactive nature of JA, researchers have often relied on passive paradigms to study JA in this population. To address these gaps, we developed a gaze-contingent eye-tracking battery targeting three developmentally appropriate JA skills for young children: RJA, IJA to request, and IJA to comment or reference.Methods: The development process was multifaceted and iterative, involving a series of collaborative steps and the allocation of various resources. These steps included determining the motion format and type of stimuli, designing and prototyping the stimuli, recruiting an actor to serve as a communication partner in the stimuli, recording and editing videos for the stimuli, and building and test-running the battery.Results: We developed the Interactive Eye Tracking for Joint Attention (IET-JA) battery, which consists of 32 JA stimuli: 16 RJA stimuli, eight IJA-Request stimuli, and eight IJA-Comment/Reference stimuli. The stimuli are dynamic (i.e., videos) and feature a preprogrammed interactive human communication partner who is responsive to the participant’s gaze. The IET-JA takes approximately 8 minutes to complete, and its duration is expected to vary based on the participant’s level of engagement.Conclusion: Implications for advancing methodologies, fostering team science, and enhancing iterative processes are discussed.

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Publication Details

Published
2025-09-26
DOI
https://doi.org/10.31234/osf.io/2sb5t_v2
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.43

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article

Towards the Ecological Automated Measurement of Joint Attention: Development of an Interactive Eye-tracking Battery for Joint Attention in Children with and without Autism

Hedda Meadan, Frederick Shic, Christy D. Yoon
1 citations
EEG and Brain-Computer Interfaces
1.43
article

Towards the Ecological Automated Measurement of Joint Attention: Development of an Interactive Eye-tracking Battery for Joint Attention in Children with and without Autism

Hedda Meadan, Frederick Shic, Christy D. Yoon
article en
1 citations

Abstract

Background: Eye tracking has emerged as a powerful tool for advancing autism research, including diagnostics and interventions. However, studies on joint attention (JA) in autistic children have predominantly concentrated on the responding to joint attention (RJA) construct, with limited focus on the initiating joint attention (IJA) construct. Moreover, despite the interactive nature of JA, researchers have often relied on passive paradigms to study JA in this population. To address these gaps, we developed a gaze-contingent eye-tracking battery targeting three developmentally appropriate JA skills for young children: RJA, IJA to request, and IJA to comment or reference.Methods: The development process was multifaceted and iterative, involving a series of collaborative steps and the allocation of various resources. These steps included determining the motion format and type of stimuli, designing and prototyping the stimuli, recruiting an actor to serve as a communication partner in the stimuli, recording and editing videos for the stimuli, and building and test-running the battery.Results: We developed the Interactive Eye Tracking for Joint Attention (IET-JA) battery, which consists of 32 JA stimuli: 16 RJA stimuli, eight IJA-Request stimuli, and eight IJA-Comment/Reference stimuli. The stimuli are dynamic (i.e., videos) and feature a preprogrammed interactive human communication partner who is responsive to the participant’s gaze. The IET-JA takes approximately 8 minutes to complete, and its duration is expected to vary based on the participant’s level of engagement.Conclusion: Implications for advancing methodologies, fostering team science, and enhancing iterative processes are discussed.

U.S. Department of Education, University of Wisconsin-Madison, National Institutes of Health
Openalex Percentile: Top 15%
EEG and Brain-Computer Interfaces
1.43
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