Cited By
View all- Troiano LBirtolo CArmenise R(2015)Searching optimal menu layouts by linear genetic programmingJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-015-0322-77:2(239-256)Online publication date: 15-Sep-2015
Automate the decision on best-suited UI design for mobile apps
Pages 66 - 68
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.
References
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AlTarawneh, R., Humayoun, S. R. 2014. Evolving Mobile Prototypes Towards The Best-suited Design and Interaction Schema Using The Genetic Algorithm. International Journal of Mobile Human Computer Interaction (IJMHCI), Volume 6, Issue 2, 2014 (in press).
[2]
Banzhaf, W., Francone, F. D., Keller, R. E., and Nordin, P. 1998. Genetic Programming: an Introduction: On the Automatic Evolution of Computer Programs and its Applications. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
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Davis, R. C., Saponas, T. S., Shilman, M., and Landay, J. A. 2007. SketchWizard: Wizard of Oz Prototyping of Pen-Based User Interfaces. In Proceedings of the 20th annual ACM symposium on User interface software and technology (UIST '07). ACM, New York, NY, USA, 119-128.
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Humayoun, S. R., Catarci, T., and Dubinsky, Y. 2011. A Dynamic Framework for Multi-View Task Modeling. In Proceedings of the 9th ACM SIGCHI Italian Chapter International Conference on Computer-Human Interaction: Facing Complexity (CHItaly ‘11), Patrizia Marti, Alessandro Soro, Luciano Gamberini, and Sebastiano Bagnara (Eds.). ACM, New York, NY, USA, 185-190.
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Humayoun, S. R. 2011. Incorporating Usability Evaluation in Software Development Environments. PhD Thesis, Dipartimento di Informatica e Sistemistica, Sapienza University of Rome, October 05, 2011, Rome, Italy. http://www.dis.uniroma1.it/~dottoratoii/media/students/docu ments/thesis_humayoun.pdf
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Humayoun, S. R. and Dubinsky, Y. 2014. MobiGolog: Formal Task Modelling for Testing User Gestures Interaction in Mobile Applications. MOBILESoft 2014, ACM, New York, NY, USA.
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Sims, K. 1991. Artificial evolution for computer graphics. In Proceedings of the 18th annual conference on Computer graphics and interactive techniques (SIGGRAPH '91), 319- 328, ACM, New York, NY, USA.
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Index Terms
- Automate the decision on best-suited UI design for mobile apps
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Published In
June 2014
108 pages
ISBN:9781450328784
DOI:10.1145/2593902
- General Chair:
- Tiziana Catarci,
- Program Chairs:
- Aharon Abadi,
- Anthony I. Wasserman
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Published: 02 June 2014
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View all- Troiano LBirtolo CArmenise R(2015)Searching optimal menu layouts by linear genetic programmingJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-015-0322-77:2(239-256)Online publication date: 15-Sep-2015
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