A GA-based approach to improve web page aesthetics

Authors:
Nahar Singh;Samit Bhattacharya
Affiliations:
IIT Guwahati, Assam, India;IIT Guwahati, Assam, India
Venue:
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Year:
2010

Citing 3
Cited 0

Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Modelling interface aesthetics

Information Sciences: an International Journal
Computational models and experimental investigations of effects of balance and symmetry on the aesthetics of text-overlaid images

International Journal of Human-Computer Studies

Quantified Score

Hi-index	0.00

Visualization

Abstract

The field of human-computer interaction traditionally deals with the problem of improving usability of interactive systems. The concept of usability is defined in terms of user's task performance. While task is undoubtedly one important factor in "usable" interface design, recent research shows that form (aesthetics) performs an equally important role in shaping the overall user experience of an interactive system, which in turn leads to increased usability. Keeping the form factor in focus, in this paper we present an approach to improve aesthetics of web interfaces using a genetic algorithm (GA). An existing computational model of aesthetics has been used to develop the fitness function of the GA. In order to ascertain the efficacy of the approach, an empirical study with 30 web pages and 10 subjects was carried out. Results of the study show that in certain situations, the proposed approach is able to improve perceived interface aesthetics.