ACM Home Page
Please provide us with feedback. Feedback
Comparing interfaces based on what users watch and do
Full text PdfPdf (1.69 MB)
Source Eye Tracking Research & Application archive
Proceedings of the 2000 symposium on Eye tracking research & applications table of contents
Palm Beach Gardens, Florida, United States
Pages: 29 - 36  
Year of Publication: 2000
ISBN:1-58113-280-8
Authors
Eric C. Crowe  Computer Information Systems Department, DeVry Institute of Technology
N. Hari Narayanan  Intelligent & Interactive Systems Laboratory, Computer Science & Software Eng. Dept., Auburn University, 107 Dunstan Hail, Auburn, AL
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 67,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/355017.355022
What is a DOI?

ABSTRACT

With the development of novel interfaces controlled through multiple modalities, new approaches are needed to analyze the process of interaction with such interfaces and evaluate them at a fine grain of detail. In order to evaluate the usability and usefulness of such interfaces, one needs tools to collect and analyze richly detailed data pertaining to both the process and outcomes of user interaction. Eye tracking is a technology that can provide detailed data on the allocation and shifts of users' visual attention across interface entities. Eye movement data, when combined with data from other input modalities (such as spoken commands, haptic actions with the keyboard and the mouse, etc.), results in just such a rich data on set. However, integrating, analyzing and visualizing multimodal data on user interactions remains a difficult task. In this paper we report on a first step toward developing a suite of tools to facilitate this task. We designed and implemented an Eye Tracking Analysis System that generates combined gaze and action visualizations from eye movement data and interaction logs. This new visualization allows an experimenter to see the visual attention shifts of users interleaved with their actions on each screen of a multi-screen interface. A pilot experiment on comparing two interfaces — a traditional interface and a speech-controlled one — to an educational multimedia application was carried out to test the utility of our tool.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
D. C. R. Benei, D. Ottens, and R. Horst. Use of an Eyetracking System in the Usability Laboratory. In Proceedings of the 35th Annual Meeting, pages 461-465. Human Factors and Ergonomics Society, 1991.
3
4
5
 
6
J. H. Goldberg and X. P. Kotval. Eye Movement-Based Evaluation of the Computer Interface. In S. K. Kumar, editor, Advances in Occupational Ergonomics and Safety, pages 529-532. IOS Press, Amsterdam, 1998.
 
7
S.R. Hansen, S. R., N. H. Narayanan, and D. Schrimpsher. Helping Learners Visualize and Comprehend Algorithms. Interactive Multimedia Electronic Journal of Computer- Enhanced Learning, 2(1):available at http://imej.wfu.edu, May 2000.
 
8
M.A. Just and P. A. Carpenter. Eye Fixations and Cognitive Processes, Cognitive Psychology, 8:441-480, 1976.
9
 
10
N. H. Narayanan and Schrimpsher, D. Extending Eye Tracking to Analyze Interactions with Multimedia Information Presentations. In People and Computers )(IV (HCI 2000 Conference Proceedings), Annual Conference Series, to appear. British Computer Society, Springer-Verlag, 2000.
11
12


Collaborative Colleagues:
Eric C. Crowe: colleagues
N. Hari Narayanan: colleagues