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Integrating Mindfulness, Eye-Tracking, and ERP Task Performance: A Research in Progress Study

In: Information Systems and Neuroscience

Author

Listed:
  • Sandip Sarkar

    (Chaifetz School of Business, Saint Louis University)

  • Palash Bera

    (Chaifetz School of Business, Saint Louis University)

Abstract

This paper proposes measuring ERP mindfulness -a self-regulatory trait that mitigates resistance and enhances ERP usage by integrating eye-tracking technology to objectively measure mindfulness behavior. We first assess ERP mindfulness by conducting self-reported surveys and then propose extending it with a mixed-method approach to validate mindfulness traits through behavioral data. By correlating eye-tracking metrics with survey responses, we aim to demonstrate that mindfulness is not only a self-reported trait but also observable in how users engage with ERP interfaces. In a pilot study, we identified five high-mindfulness participants and tracked their gaze behavior during a financial assessment task in SAP. The next step is to collect more data and compare their eye movement patterns with low-mindfulness participants to determine how mindfulness influences ERP task performance. This study bridges theoretical insights from mindfulness literature with practical advancements in neuroIS methodologies, offering a robust framework for understanding ERP adoption challenges.

Suggested Citation

  • Sandip Sarkar & Palash Bera, 2025. "Integrating Mindfulness, Eye-Tracking, and ERP Task Performance: A Research in Progress Study," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Gernot (ed.), Information Systems and Neuroscience, pages 75-81, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-00815-2_7
    DOI: 10.1007/978-3-032-00815-2_7
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