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Advanced Computing and Systems for Security pp 113–124Cite as

Determining Perceptual Similarity Among Readers Based on Eyegaze Dynamics

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 996))

Abstract

Understanding of a reading material depends on lexical processing and formation of perception. Differences between individuals exist due to various cognitive capabilities and psychological factors. In this paper, we focus on grouping of individuals according to their reading traits based on the eye movement behavior using affordable eye-tracking device. Detailed characterization of eye gaze, namely the distribution of the spatial spread and change in drift direction in fixations, is considered for analyzing the reading behavior. They relate to the perceptual span and attention, respectively. Analysis of variance (ANOVA) is performed with the features derived from the perceptual distance between pairwise individuals. Multidimensional scaling is used to obtain the relative perceptual orientation and attention among the individuals. Results demonstrate the feasibility of forming homogeneous groups based on the eye movement behavior.

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Notes

  1. 1.

    https://www.enotes.com/topics/great-expectations.

  2. 2.

    https://www.quora.com/Why-is-there-so-much-criticism-for-demonetization-in-India-when-it-is-undoubtedly-a-correct-step.

  3. 3.

    https://www.helsinki.fi/en/research/research-environment/research-ethics.

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Acknowledgements

Authors would like to thank the participants for their cooperation during the experiment and data collection for the same.

Author information

Authors and Affiliations

  1. TCS Research & Innovation, Tata Consultancy Services, Ecospace 1B, Kolkata, 700156, India

    Aniruddha Sinha

  2. Department of Computer Science & Engineering, Jadavpur University, Kolkata, 700032, India

    Sanjoy Kumar Saha

  3. Department of Computer Science & Engineering, Indian Institute of Technology, Kharagpur, 721302, India

    Anupam Basu

  4. National Institute of Technology, Durgapur, 713209, India

    Anupam Basu

Authors
  1. Aniruddha Sinha
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  2. Sanjoy Kumar Saha
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  3. Anupam Basu
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Corresponding author

Correspondence to Aniruddha Sinha .

Editor information

Editors and Affiliations

  1. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

    Rituparna Chaki

  2. Computer Science, DAIS, Università Ca’ Foscari, Mestre, Venice, Italy

    Agostino Cortesi

  3. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  4. Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India

    Nabendu Chaki

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Sinha, A., Kumar Saha, S., Basu, A. (2020). Determining Perceptual Similarity Among Readers Based on Eyegaze Dynamics. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 996. Springer, Singapore. https://doi.org/10.1007/978-981-13-8969-6_7

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