Analyzing Ocular Parameters for Web Browsing and Graph Visualization

Arjun, S and Saluja, KP and Biswas, P (2021) Analyzing Ocular Parameters for Web Browsing and Graph Visualization. In: 8th International Conference on Research into Design, ICoRD 2021, 7-10 Jan 2021, Virtual, pp. 327-337.

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Abstract

This paper proposes a set of techniques to investigate eye gaze and fixation patterns while users interact with electronic user interfaces. In particular, two case studies are presented�one on analyzing eye gaze while interacting with deceptive materials in web pages and another on analyzing graphs in standard computer monitor and virtual reality displays. We analyzed spatial and temporal distributions of eye gaze fixations and sequence of eye gaze movements. We used this information to propose new design guidelines to avoid deceptive materials in web and user-friendly representation of data in 2D graphs. In 2D graph study, we identified that area graph has the lowest number of clusters for user's gaze fixations and lowest average response time. The results of 2D graph study were implemented in virtual and mixed reality environment. Along with this, it was observed that the duration while interacting with deceptive materials in web pages is independent of the number of fixations. Furthermore, web-based data visualization tool for analyzing eye tracking data from single and multiple users was developed. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Item Type:	Conference Paper
Publication:	Smart Innovation, Systems and Technologies
Publisher:	Springer Science and Business Media Deutschland GmbH
Additional Information:	The copyright for this article belongs to Springer Science and Business Media Deutschland GmbH
Keywords:	Data visualization; Display devices; Eye movements; Mixed reality; User interfaces; Visualization; Websites, Graph visualization; Mixed-reality environment; Number of clusters; Number of fixations; Spatial and temporal distribution; User friendly; Virtual-reality display; Web-based data visualizations, Eye tracking
Department/Centre:	Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited:	05 Aug 2021 10:28
Last Modified:	06 Aug 2021 05:47
URI:	http://eprints.iisc.ac.in/id/eprint/69063

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