short-paper

A Comparison of a Transition-based and a Sequence-based Analysis of AOI Transition Sequences

Authors:

Tanja Blascheck,

Chat WacharamanothamAuthors Info & Claims

ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications

Article No.: 7, Pages 1 - 5

https://doi.org/10.1145/3379156.3391349

Published: 02 June 2020 Publication History

Abstract

Several visual analytics (VA) systems are used for analyzing eye-tracking data because they synergize human-in-the-loop exploration with speed and accuracy of the computer. In the VA systems, the choices of visualization techniques could afford discovering certain types of insights while hindering others. Understanding these affordances and hindrances is essential to design effective VA systems. In this paper, we focus on two approaches for visualizing AOI transitions: the transition-based approach (exemplified by the radial transition graph, RTG) and the sequence-based approach (exemplified by the Alpscarf). We captured the insights generated by two analysts who individually use each visualization technique on the same dataset. Based on the results, we identify four phases of analytic activities and discuss opportunities that the two visualization approaches can complement each other. We point out design implications for VA systems that combine these visualization approaches.

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Cited By

Wacharamanotham CYang FPu XSarma A(2023)Transparent Practices for Quantitative Empirical ResearchExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3574168(1-5)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3574168
Beelders TAl Madi NSharif B(2022)Eye-tracking analysis of source code reading on a line-by-line basisProceedings of the Tenth International Workshop on Eye Movements in Programming10.1145/3524488.3527364(1-7)Online publication date: 19-May-2022
https://dl.acm.org/doi/10.1145/3524488.3527364
Wacharamanotham CYang FPu XSarma APadilla L(2022)Transparent Practices for Quantitative Empirical ResearchExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3503760(1-5)Online publication date: 27-Apr-2022
https://dl.acm.org/doi/10.1145/3491101.3503760

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cover image ACM Conferences

ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications

June 2020

305 pages

ISBN:9781450371346

DOI:10.1145/3379156

Editors:
Andreas Bulling
University of Stuttgart, Germany
,
Anke Huckauf
Ulm University, Germany
,
Eakta Jain
University of Florida, USA
,
Ralph Radach
University of Wuppertal, Germany
,
Daniel Weiskopf
University of Stuttgart, Germany

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 02 June 2020

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ETRA '20: 2020 Symposium on Eye Tracking Research and Applications

June 2 - 5, 2020

Stuttgart, Germany

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

Wacharamanotham CYang FPu XSarma A(2023)Transparent Practices for Quantitative Empirical ResearchExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3574168(1-5)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3574168
Beelders TAl Madi NSharif B(2022)Eye-tracking analysis of source code reading on a line-by-line basisProceedings of the Tenth International Workshop on Eye Movements in Programming10.1145/3524488.3527364(1-7)Online publication date: 19-May-2022
https://dl.acm.org/doi/10.1145/3524488.3527364
Wacharamanotham CYang FPu XSarma APadilla L(2022)Transparent Practices for Quantitative Empirical ResearchExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3503760(1-5)Online publication date: 27-Apr-2022
https://dl.acm.org/doi/10.1145/3491101.3503760

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