Paper Titles

Research on Dictionary for Personalized Chinese Word Segmentation
p.1868

Research on Mount Tai Tourism E-Commerce
p.1872

Analysis of Channel Transmission Performance in UHF RFID System
p.1876

Study on the Improvement of MUSIC Algorithm Fire Wireless Communication
p.1880

Attention Failure Model in Human-Computer Interactive Interface
p.1885

A Research of Dynamic Message Routing Based on Load Balance in ESB
p.1889

Design of Regional Coverage Resource Satellite Constellation Based on Analytical Method
p.1894

Research on Spaceflight TT&C Ground System Data Exchange Pattern Based on Google Protocol Buffers
p.1898

Construction of Interactive Interpretation Study Website Based on WebRTC Technology
p.1902

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050Attention Failure Model in Human-Computer...

Attention Failure Model in Human-Computer Interactive Interface

Article Preview

Abstract:

Errors are common human failures occurring in information interface and its cognition mechanism of errors is an important hitting-point for improving interface design as well as the key for reducing cognition difficulties. This paper studies error factors of information interface in human-computer interaction based on visual cognition theory. A feasible attention failure model is established to solve some design problems which result in serious failures in information recognition and analysis, and even in operation and execution processes.

You might also be interested in these eBooks

Modern Technologies in Materials, Mechanics and Intelligent Systems

Info:

Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1885-1888

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1885

Citation:

Cite this paper

Online since:

October 2014

Authors:

Xiao Li Wu

Keywords:

Attention Failure Model, Error Factors, Human-Computer Interface, Visual Cognition

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Desimone R, Duncan J (1995). Annual Review of Neuroscience, 18: 193-222.

[2] Fleetwood MD, Byrne MD (2002). Cognitive Systems Research, 3: 25-33.

[3] Fleetwood MD, Byrne MD (2006). Human-Computer Interaction, 21(2): 153-197.

[4] Hicks, J. L, & Starns, J. J. (2006a). Journal of Experimental Psychology32(S), 1164-1173.

[5] Hicks, J. L, & Starns, J. J. (2006b). Journal of Memory and Language, 54(1), 39-53.

[6] Hicks, J. L., & Marsh, R. L (2001). Journal of Experimental Psychology, 27(2): 375-383.

[7] Lavie, N., Hirst, A. (2004). Journal of Experimental Psychology: General, 133: 339-354.

[8] Lavie, N (2005). Trends in Cognitive Sciences, 9: 75-82.

[9] Li Leshan (2004). Human computer interface design. Beijing: Science Press. （in Chinese）.

[10] Maxion RA, (2005). International Journal of human-computer studies, 63(1-2): 25-50.

[11] Norman, D. A (1981). Categorisation of action slips. Psychology Review, 88: 1-15.

[12] Neisser U (1976 ). principles and implications of cognitive psychology.

[13] N. M. Shryane, S. J. Westerman, (1998). Ergonomics, 41(11), 1719-1736.

[14] Reason J (1990). Human Error. New York: Cambridge University Press.

[15] Reason, J (2000). British Medical Journal, 320, 768-770.

[16] Raymond JE,. Journal of Experimental Psychology-human Perception, 21(3): 653-662.

[17] Shapiro KL. Journal of experimental Psychology-human Perception, 20(2): 357-371.

[18] Theeuwes J. Journal of Experimental Psychology: Human Perception, 24: 1342-1353.

[19] Theeuwes J (2004). Psychonomic Bulletin & Review, 11(1): 65-70.