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Authors: Anh Huynh and Bo Fu

Affiliation: California State University, United States

ISBN: 978-989-758-203-5

Keyword(s): Eye-tracking, Indented List Visualization, Usability, Biomedical Ontologies.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; e-Business ; Enterprise Information Systems ; Human-Machine Cooperation ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: A large amount of research efforts have focused on designing and developing ontology visualization methods over the years, but less effort in comparison has been put on evaluating usability support of these existing ontology visualization techniques particularly in rising interaction mediums such as touchscreen devices. This paper investigates the visual support of indented list visualization - traditionally designed for desktop computers - in the context of class search activities using traditional desktop computers as well as tablet computers. Using task-based user studies conducted on desktop and tablet computers, we analysed the difference between task success, task speed, eye gaze, as well as qualitative data collected from usability questionnaires, we found that the indented list visualization is not as effective on tablet computers with increased gaze activities, where many users preferred using it on desktop computers.

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Paper citation in several formats:
Huynh, A. and Fu, B. (2016). Information Search in Ontology Visualization – An Eyetracking User Study of Indented List on Desktop and Tablet Computers.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2016) ISBN 978-989-758-203-5, pages 129-135. DOI: 10.5220/0006053101290135

@conference{keod16,
author={Anh Huynh. and Bo Fu.},
title={Information Search in Ontology Visualization – An Eyetracking User Study of Indented List on Desktop and Tablet Computers},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2016)},
year={2016},
pages={129-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006053101290135},
isbn={978-989-758-203-5},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KEOD, (IC3K 2016)
TI - Information Search in Ontology Visualization – An Eyetracking User Study of Indented List on Desktop and Tablet Computers
SN - 978-989-758-203-5
AU - Huynh, A.
AU - Fu, B.
PY - 2016
SP - 129
EP - 135
DO - 10.5220/0006053101290135

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