The effect of gender-related difference on human-centred performance using a mass assessment method
by Robert C.C. Chen, Tin-Kai Chen
International Journal of Computer Applications in Technology (IJCAT), Vol. 32, No. 4, 2008

Abstract: In this study, ''human-centred performance'' is defined as ''performance of natural body motion''. The study aims to reveal the effect of gender-related difference on human-centred performance using a Mass Assessment Method (MAM). First, a comprehensive literature review on Human-Computer Interaction (HCI) associated with gender-related difference is given. Thereafter, the analysis result shows consistence with current studies. In particular, the study has found that female computer users in normal usage group, i.e., using computer less than 60 h per week, might suffer from approximately 10% slower pointing time than males since females might not satisfy with operational effort than male subjects. Furthermore, male computer users in the intensive usage group are 17% slower in pointing time than those in the normal usage group. The result highlights an urgent need for the design innovation of an ordinary mouse. Finally, further improvement for the MAM and the Fitts' Law Generator (FLG) software are noted, and the design guideline for an alternative mouse is recommended.

Online publication date: Fri, 21-Nov-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com