Article

Improving revisitation in fisheye views with visit wear

Authors:

Carl GutwinAuthors Info & Claims

CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 771 - 780

https://doi.org/10.1145/1054972.1055079

Published: 02 April 2005 Publication History

Abstract

The distortion caused by an interactive fisheye lens can make it difficult for people to remember items and locations in the data space. In this paper we introduce the idea of visit wear - a visual representation of the places that the user has previously visited - as a way to improve navigation in spaces affected by distortion. We outline the design dimensions of visit wear, and report on two studies. The first shows that increasing the distortion of a fisheye view does significantly reduce people's ability to remember object locations. The second study looks at the effects of visit wear on performance in revisitation tasks, and shows that both completion time and error rates are significantly improved when visit wear is present. Visit wear works by changing the revisitation problem from one of memory to one of visual search. Although there are limitations to the technique, visit wear has the potential to substantially improve the usability both of fisheye views and of graphical information spaces more generally.

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Cited By

Kargut KGutwin CCockburn A(2024)Effects of Device Environment and Information Layout on Spatial Memory and Performance in VR Selection TasksProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642486(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642486
Hubenschmid SZagermann JLeicht DReiterer HFeuchtner T(2023)ARound the Smartphone: Investigating the Effects of Virtually-Extended Display Size on Spatial MemoryProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581438(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581438
Chakhchoukh MBoukhelifa NBezerianos A(2023)Understanding How In-Visualization Provenance Can Support Trade-Off AnalysisIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.317107429:9(3758-3774)Online publication date: 1-Sep-2023
https://doi.org/10.1109/TVCG.2022.3171074
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Index Terms

Improving revisitation in fisheye views with visit wear
1. Human-centered computing

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cover image ACM Conferences

CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2005

928 pages

ISBN:1581139985

DOI:10.1145/1054972

Conference Chairs:
Wendy Kellogg
IBM T. J. Watson Research Center
,
Shumin Zhai
IBM Almaden Research Center
,
General Chair:
Gerrit van der Veer
Vrije Universiteit, The Netherlands
,
Program Chair:
Carolyn Gale
Stanford University, USA

Copyright © 2005 ACM.

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Published: 02 April 2005

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April 2 - 7, 2005

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CHI '05 Paper Acceptance Rate 93 of 372 submissions, 25%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Kargut KGutwin CCockburn A(2024)Effects of Device Environment and Information Layout on Spatial Memory and Performance in VR Selection TasksProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642486(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642486
Hubenschmid SZagermann JLeicht DReiterer HFeuchtner T(2023)ARound the Smartphone: Investigating the Effects of Virtually-Extended Display Size on Spatial MemoryProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581438(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581438
Chakhchoukh MBoukhelifa NBezerianos A(2023)Understanding How In-Visualization Provenance Can Support Trade-Off AnalysisIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.317107429:9(3758-3774)Online publication date: 1-Sep-2023
https://doi.org/10.1109/TVCG.2022.3171074
Narechania ACoscia AWall EEndert A(2022)Lumos: Increasing Awareness of Analytic Behavior during Visual Data AnalysisIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311482728:1(1009-1018)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1109/TVCG.2021.3114827
Sami Uddin MGutwin CKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)The Image of the Interface: How People Use Landmarks to Develop Spatial Memory of Commands in Graphical InterfacesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445050(1-17)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445050
Burch MHuang WWakefield MPurchase HWeiskopf DHua J(2021)The State of the Art in Empirical User Evaluation of Graph VisualizationsIEEE Access10.1109/ACCESS.2020.30476169(4173-4198)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2020.3047616
Cui ZKancherla JBravo HElmqvist N(2019)Sherpa: Leveraging User Attention for Computational Steering in Visual Analytics2019 IEEE Visualization in Data Science (VDS)10.1109/VDS48975.2019.8973384(48-57)Online publication date: Oct-2019
https://doi.org/10.1109/VDS48975.2019.8973384
Mollashahi EUddin MGutwin CCatarci TNorman KMecella M(2018)Improving revisitation in long documents with two-level artificial-landmark scrollbarsProceedings of the 2018 International Conference on Advanced Visual Interfaces10.1145/3206505.3206554(1-9)Online publication date: 29-May-2018
https://dl.acm.org/doi/10.1145/3206505.3206554
Uddin MGutwin CGoguey ASimeone AJohnsen KTeather RSandor C(2017)Using artificial landmarks to improve revisitation performance and spatial learning in linear control widgetsProceedings of the 5th Symposium on Spatial User Interaction10.1145/3131277.3132184(48-57)Online publication date: 16-Oct-2017
https://dl.acm.org/doi/10.1145/3131277.3132184
Zagermann JPfeil UFink Dvon Bauer PReiterer HMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)Memory in MotionProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3026001(1899-1910)Online publication date: 2-May-2017
https://dl.acm.org/doi/10.1145/3025453.3026001
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