research-article

An evaluation of advanced user interface customization

Authors:

Clemens Zeidler,

Christof Lutteroth,

Gerald WeberAuthors Info & Claims

OzCHI '13: Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration

Pages 295 - 304

https://doi.org/10.1145/2541016.2541037

Published: 25 November 2013 Publication History

Abstract

Many graphical user interfaces (GUIs) are customizable. While there are many approaches to user interface customization, most of them are fairly simplistic, e.g., they only allow users to customize menus and toolbars. However, one can think of more advanced customization approaches that allow more complex GUI layout customizations and even functional customization. Functional customization goes deeper into the application logic and makes it possible to change the behavior of an application. In this paper we target two open questions: (1) Are technical users able to use such advanced customization approaches? (2) Would technical users apply such approaches in practice?

We introduce prototypical systems for layout and functional customization of GUIs. In a user study, these systems were evaluated to address the research questions mentioned above. 18 technical users were given customization tasks for three layout and two functional customization scenarios. The participants were observed during the tasks and were asked to complete questionnaires. The results indicate that users are able to use the proposed customization systems, and would also employ them in practice. This suggests that it would be beneficial to include such customization facilities into current and future applications.

References

[1]

Banovic, N., Chevalier, F., Grossman, T., and Fitzmaurice, G. Triggering triggers and burying barriers to customizing software. CHI (2012), 2717--2726.

Digital Library

[2]

Bunt, A., Conati, C., and McGrenere, J. What role can adaptive support play in an adaptable system? In IUI (2004), 117--124.

Digital Library

[3]

Bunt, A., Conati, C., and McGrenere, J. Supporting interface customization using a mixed-initiative approach. IUI (2007), 92--101.

Digital Library

[4]

Cockburn, A., Gutwin, C., and Greenberg, S. A predictive model of menu performance. CHI (2007), 627--636.

Digital Library

[5]

Colella, V., Klopfer, E., and Resnick, M. Adventures in Modeling: Exploring Complex, Dynamic Systems with StarLogo. Teachers College Press, Columbia University, 2001.

Digital Library

[6]

Debevc, M., Meyer, B., Donlagic, D., and Svecko, R. Design and evaluation of an adaptive icon toolbar. User Modeling and User-Adapted Interaction 6, 1 (1996), 1--21.

[7]

Findlater, L., and McGrenere, J. A comparison of static, adaptive, and adaptable menus. CHI (2004), 89--96.

Digital Library

[8]

Findlater, L., and McGrenere, J. Beyond performance: feature awareness in personalized interfaces. International Journal of Human-Computer Studies 68, 3 (2010), 121--137.

Digital Library

[9]

Findlater, L., Moffatt, K., McGrenere, J., and Dawson, J. Ephemeral adaptation: the use of gradual onset to improve menu selection performance. CHI (2009), 1655--1664.

Digital Library

[10]

Gajos, K. Z., Czerwinski, M., Tan, D. S., and Weld, D. S. Exploring the design space for adaptive graphical user interfaces. AVI (2006), 201--208.

Digital Library

[11]

Greenberg, S., and Witten, I. H. Adaptive personalized interfaces -- a question of viability. Behaviour & Information Technology 4, 1 (1985), 31--45.

[12]

Heineman, G. T., and Councill, W. T., Eds. Component-based software engineering: putting the pieces together. Addison-Wesley, 2001.

Digital Library

[13]

Hoyer, V., and Fischer, M. Market overview of enterprise mashup tools. In Service-Oriented Computing -- ICSOC, vol. 5364 of Lecture Notes in Computer Science. 2008, 708--721.

Digital Library

[14]

Kantorowitz, E., and Sudarsky, O. The adaptable user interface. Commun. ACM 32, 11 (1989), 1352--1358.

Digital Library

[15]

Lau, K.-K., and Wang, Z. Software component models. IEEE Transactions on Software Engineering 33, 10 (2007), 709--724.

Digital Library

[16]

López-Jaquero, V., Vanderdonckt, J., Montero, F., and González, P. Towards an extended model of user interface adaptation: The ISATINE framework. In Engineering Interactive Systems. 2008, 374--392.

Digital Library

[17]

Lutteroth, C., Strandh, R., and Weber, G. Domain Specific High-Level Constraints for User Interface Layout. Constraints 13, 3 (2008).

Digital Library

[18]

Mackay, W. E. Triggers and barriers to customizing software. CHI (1991), 153--160.

Digital Library

[19]

MacLean, A., Carter, K., Lövstrand, L., and Moran, T. User-tailorable systems: pressing the issues with buttons. CHI (1990), 175--182.

Digital Library

[20]

Marathe, S., and Sundar, S. S. What drives customization? Control or identity? CHI (2011), 781--790.

Digital Library

[21]

McGrenere, J., Baecker, R. M., and Booth, K. S. An evaluation of a multiple interface design solution for bloated software. CHI (2002), 164--170.

Digital Library

[22]

McGrenere, J., and Moore, G. Are we all in the same "bloat"? In Proc. Graphics Interface 2000 Conference (2000), 187--196.

[23]

Page, S. R., Johnsgard, T. J., Albert, U., and Allen, C. D. User customization of a word processor. CHI (1996), 340--346.

Digital Library

[24]

Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., Millner, A., Rosenbaum, E., Silver, J., Silverman, B., and Kafai, Y. Scratch: programming for all. Commun. ACM 52, 11 (2009), 60--67.

Digital Library

[25]

Stuerzlinger, W., Chapuis, O., Phillips, D., and Roussel, N. User interface façades: towards fully adaptable user interfaces. UIST (2006), 309--318.

Digital Library

[26]

Tian, S., Weber, G., and Lutteroth, C. A tuplespace event model for mashups. OzCHI (2011), 281--290.

Digital Library

[27]

Zeidler, C., Stuerzlinger, W., Lutteroth, C., and Weber, G. The Auckland Layout Editor: An improved GUI layout specification process. UIST (2013).

Digital Library

[28]

Zeidler, C., Stuerzlinger, W., Lutteroth, C., and Weber, G. Evaluating direct manipulation operations for constraint-based layout. INTERACT (2013).

Cited By

Lin YLee S(2022)A Personalized Interaction Mechanism Framework for Micro-moment Recommender SystemsACM Transactions on Interactive Intelligent Systems10.1145/356958613:1(1-28)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3569586
Vitale FChen JOdom WMcGrenere JWakkary RAndersen KOdom WDesjardins APetersen M(2020)Data DashboardProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395457(311-326)Online publication date: 3-Jul-2020
https://dl.acm.org/doi/10.1145/3357236.3395457
Rathnayake NMeedeniya DPerera IWelivita A(2019)A Framework for Adaptive User Interface Generation based on User Behavioural Patterns2019 Moratuwa Engineering Research Conference (MERCon)10.1109/MERCon.2019.8818825(698-703)Online publication date: Jul-2019
https://doi.org/10.1109/MERCon.2019.8818825

Index Terms

An evaluation of advanced user interface customization
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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OzCHI '13: Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration

November 2013

549 pages

ISBN:9781450325257

DOI:10.1145/2541016

Copyright © 2013 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 ACM 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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Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 November 2013

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OzCHI '13

Sponsor:

Human Factors & Ergonomics Soc

OzCHI '13: Augmentation, Application, Innovation, Collaboration

November 25 - 29, 2013

Adelaide, Australia

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OzCHI '13 Paper Acceptance Rate 34 of 70 submissions, 49%;

Overall Acceptance Rate 362 of 729 submissions, 50%

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Cited By

Lin YLee S(2022)A Personalized Interaction Mechanism Framework for Micro-moment Recommender SystemsACM Transactions on Interactive Intelligent Systems10.1145/356958613:1(1-28)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3569586
Vitale FChen JOdom WMcGrenere JWakkary RAndersen KOdom WDesjardins APetersen M(2020)Data DashboardProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395457(311-326)Online publication date: 3-Jul-2020
https://dl.acm.org/doi/10.1145/3357236.3395457
Rathnayake NMeedeniya DPerera IWelivita A(2019)A Framework for Adaptive User Interface Generation based on User Behavioural Patterns2019 Moratuwa Engineering Research Conference (MERCon)10.1109/MERCon.2019.8818825(698-703)Online publication date: Jul-2019
https://doi.org/10.1109/MERCon.2019.8818825

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