Article

Integrating user performance time models in the design of tangible UIs

Authors:

Paul Holleis,

Dagmar Kern,

Albrecht SchmidtAuthors Info & Claims

CHI EA '07: CHI '07 Extended Abstracts on Human Factors in Computing Systems

Pages 2423 - 2428

https://doi.org/10.1145/1240866.1241018

Published: 28 April 2007 Publication History

Get Access

Abstract

One of the aspects that are important for judging an application is the time an experienced user needs to complete a task. This can be assessed by a Keystroke-Level Model (KLM) of that task. In this paper we show a method that allows designers to prototype hardware applications entirely in software and still be able to draw conclusions about the time to completion of given tasks on the envisioned hardware implementation. We provide versatile, easily extensible tools and examples that give developers quick access to KLM data for their prototypes and applications.

References

[1]

Anderson, J., Lebiere, C., The Atomic Components of Thought. Lawrence Erlbaum Associates, Inc. 1998

Google Scholar

[2]

Ballagas, R., Ringel, M., Stone, M., Borchers, J. iStuff: a Physical User Interface Toolkit for UbiquitousComputing Environments. In Proc. CHI '03. 537--544 ACM Press. 2003

Digital Library

Google Scholar

[3]

Card, S. K., Moran, T. P., and Newell, A., The Keystroke--level Model for User Performance Time with Interactive Systems. Comm. ACM 23, 7.396--410. 1980

Digital Library

Google Scholar

[4]

Egglestone, R. S., Boucher, A., Greenhalgh, C., Humble, J., Law, A., Pennington, S., Rodden, T. Supporting Collaboration in the Deployment of Ubicomp Experiences. In Proc. UbiSys'06. 2006

Google Scholar

[5]

Greenberg, S. and Fitchett, C. 2001. Phidgets: Easy Development of Physical Interfaces through Physical Widgets. In Proc. UIST '01. 209--218. ACM Press. 2001

Digital Library

Google Scholar

[6]

Hartmann, B., Klemmer, S. R., Bernstein, M., Abdulla, L., Burr, B., Robinson--Mosher, A., Gee, J. Reflective Physical Prototyping through Integrated Design, Test, and Analysis. In Proc. UIST'06. 2006

Digital Library

Google Scholar

[7]

Haunold, P., Kuhn W., A Keystroke Level Analysis of a Graphics Application: Manual Map Digitizing. In Proc. CHI'94. 337--343. 1994

Digital Library

Google Scholar

[8]

Hinckley, K., Guimbretire, F., Baudisch, P., Sarin, R., Agrawala, M., Cutrell, E., The Springboard: Multiple Modes in one Spring--loaded Control. In Proc. CHI'06. ACM Press. 181--190. 2006

Digital Library

Google Scholar

[9]

Holleis, P., Otto, F., Hußmann, H., Schmidt, A. Keystroke--Level Model for Advanced Mobile Phone Interaction. To appear in Proc. CHI '07. 2007

Digital Library

Google Scholar

[10]

James, C. L., Reischel, K. M., Text Input for Mobile Devices: Comparing Model Prediction to Actual Performance. In Proc. CHI'01, 365--371. 2001

Digital Library

Google Scholar

[11]

John, B. E., Extensions of GOMS Analyses to Expert Performance Requiring Perception of Dynamic Visual and Auditory Information. In Proc. CHI'90. ACM Press. 107--115. 1990

Digital Library

Google Scholar

[12]

John, B. E., Salvucci, D. D. Multi--Purpose Prototypes for Assessing User Interfaces in Pervasive Computing Systems. IEEE Pervasive Computing 4 (4), 27--34. 2005

Digital Library

Google Scholar

[13]

Luo, L., John, B. E., Predicting Task Execution Time on Handheld Devices Using the Keystroke--Level Model. In CHI'05. ACM Press. 1605--1608. 2005

Digital Library

Google Scholar

Cited By

View all

Katsanos CXenos MTselios NKarousos N(2020)Tool-mediated HCI modelling instruction: evidence from three studiesBehaviour & Information Technology10.1080/0144929X.2020.179066141:1(18-31)Online publication date: 13-Jul-2020
https://doi.org/10.1080/0144929X.2020.1790661
Golightly D(2009)Human Factors for Business Mobile SystemsHandbook of Research on Telecommunications Planning and Management for Business10.4018/978-1-60566-194-0.ch042(653-670)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-194-0.ch042

Index Terms

Integrating user performance time models in the design of tangible UIs
1. Human-centered computing
  1. Human computer interaction (HCI)
  2. Interaction design
    1. Interaction design process and methods
      1. Interface design prototyping
2. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments
      1. Integrated and visual development environments

Recommendations

Enhancing interaction with supplementary supportive user interfaces (UIs): meta-UIs, mega-UIs, extra-UIs, supra-UIs . . .
EICS '11: Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems

In order to improve the interaction control and intelligibility, end-user applications are supplemented with Supportive User Interfaces (SUI), like meta-UIs, mega-UIs, helping or configuration wizards. These additional UIs support the users by providing ...
Applying the Norman 1986 User-Centered Model to Post-WIMP UIs: Theoretical Predictions and Empirical Outcomes

In recent decades, “post-WIMP” interactions have revolutionized user interfaces (UIs) and led to improved user experiences. However, accounts of post-WIMP UIs typically do not provide theoretical explanations of why these UIs lead to superior ...
On-the-Fly Usability Evaluation of Mobile Adaptive UIs Through Instant User Feedback
Human-Computer Interaction – INTERACT 2019
Abstract
Adaptive User Interfaces (AUIs) have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. For the acceptance of AUIs, usability plays a crucial role. Classical usability ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

CHI EA '07: CHI '07 Extended Abstracts on Human Factors in Computing Systems

April 2007

1286 pages

ISBN:9781595936424

DOI:10.1145/1240866

Conference Chair:
Mary Beth Rosson
The Pennsylvania State University, USA
,
Program Chair:
David Gilmore
Intel, USA

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 April 2007

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

CHI07

Sponsor:

CHI07: CHI Conference on Human Factors in Computing Systems

April 28 - May 3, 2007

CA, San Jose, USA

Acceptance Rates

CHI EA '07 Paper Acceptance Rate 212 of 582 submissions, 36%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
334
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 18 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Katsanos CXenos MTselios NKarousos N(2020)Tool-mediated HCI modelling instruction: evidence from three studiesBehaviour & Information Technology10.1080/0144929X.2020.179066141:1(18-31)Online publication date: 13-Jul-2020
https://doi.org/10.1080/0144929X.2020.1790661
Golightly D(2009)Human Factors for Business Mobile SystemsHandbook of Research on Telecommunications Planning and Management for Business10.4018/978-1-60566-194-0.ch042(653-670)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-194-0.ch042

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Enhancing interaction with supplementary supportive user interfaces (UIs): meta-UIs, mega-UIs, extra-UIs, supra-UIs . . .

Applying the Norman 1986 User-Centered Model to Post-WIMP UIs: Theoretical Predictions and Empirical Outcomes

On-the-Fly Usability Evaluation of Mobile Adaptive UIs Through Instant User Feedback