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Evolving Mobile Prototypes towards the Best-Suited Design and Interaction Schema Using the Genetic Algorithm

Authors: Ragaad AlTarawneh; Shah Rukh Humayoun;

Evolving Mobile Prototypes towards the Best-Suited Design and Interaction Schema Using the Genetic Algorithm

Abstract

The recent advances in the mobile environment, such as multi-touch gestures paradigm, introduce new challenges for the interaction designers in producing the best-suited final prototype. Moreover, the short delivery-time pressure of the current mobile market makes it harder to perform the detailed evaluations for selecting the best prototype amongst the created ones. In this vision paper, we propose an approach for evolving the created prototypes towards the final prototype with the best-suited design and interaction schema. Our approach is based on using the Genetic Algorithm for searching the best solution (prototype with the best-suited design and interaction schema) from the set of created prototypes during the design phase. The proposed approach suits the mobile application development and would enhance the interaction designers' ability of producing the final prototype of the target mobile application in an efficient and effective way.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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