Automate the decision on best-suited UI design for mobile apps

Shah Rukh Humayoun, Ragaad AlTarawneh, Achim Ebert, Yael Dubinsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recent advances in the mobile domain, such as the introduction of multi-touch gestures, introduce new challenges for interaction designers in producing the best-suited user interface (UI) design and interaction schema. Previously, we have proposed an approach for evolving the created mobile app UIs towards the best-suited design and interaction schema. The approach uses Genetic Algorithm (GA) for searching the best solution (i.e., the possible best UI design and interaction schema). However, the approach works best when given a high number of input populations (i.e., input UI designs), which requires more designers. In this work, we propose to automate the process of generating the candidates input UIs. For this, we propose to use MobiGolog, a formal task modelling language for the mobile domain, for formally specifying the required functionality set alongside the possible UI elements and interaction schema. This formal specification is then used to generate all the possible combinations of UI design layouts and interaction schemas, which are then given as input to the GA in order to give a better solution at the end in a cost effective manner.

Original languageEnglish
Title of host publication1st International Conference on Mobile Software Engineering and Systems, MOBILESoft 2014 - Proceedings
PublisherAssociation for Computing Machinery
Pages66-68
Number of pages3
ISBN (Print)9781450328784
DOIs
StatePublished - 2014
Externally publishedYes
Event1st International Conference on Mobile Software Engineering and Systems, MOBILESoft 2014 - Hyderabad, India
Duration: 2 Jun 20143 Jun 2014

Publication series

Name1st International Conference on Mobile Software Engineering and Systems, MOBILESoft 2014 - Proceedings

Conference

Conference1st International Conference on Mobile Software Engineering and Systems, MOBILESoft 2014
Country/TerritoryIndia
CityHyderabad
Period2/06/143/06/14

Keywords

  • Genetic algorithm
  • Interaction design
  • MobiGolog
  • Mobile user interface

ASJC Scopus subject areas

  • Software

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