research-article

Generative UI design in SAPI project

Authors:

Giuseppina Russo,

Cosimo Birtolo,

Luigi TroianoAuthors Info & Claims

CHI EA '08: CHI '08 Extended Abstracts on Human Factors in Computing Systems

Pages 3627 - 3632

https://doi.org/10.1145/1358628.1358903

Published: 05 April 2008 Publication History

Get Access

Abstract

In this paper we provide an overview of the SAPI project, an initiative of Poste Italiane in collaboration with RCOST-University of Sannio, ITSLab and CRIAI, supported by MIUR, Italian Ministry of University and Research. The project is aimed at developing a software platform, that implementing a novel approach to the user interface generation centered on search based techniques, will provide automatic and semi-automatic adaptation of user interface to vision impaired people.

References

[1]

Apple. Apple human interface guidelines. (2006).

Google Scholar

[2]

Ichikawa, M., Tanaka, K., Kondo, S., Hiroshima, K., Ichikawa, K., Tanabe, S., and Fukami, K.: Web-Page Color Modification for Barrier - FreeColor Vision with Genetic Algorithm, LNCS 2724, Springer-Verlag, (2003), pp. 2134--2146.

Digital Library

Google Scholar

[3]

Koza, J.R., Genetic Programming: On the Programming of Computers by means of Natural Selection, MIT Press, Cambridge, (1992).

Digital Library

Google Scholar

[4]

Oliver, A., Regragui, O., Monmarché, N., Venturini, G.: Genetic and interactive optimization of web sites. The 11th international World wide web conference, Honolulu, Hawaii, USA, (2002) pp. 7--11.

Google Scholar

[5]

Quiroz, J.C., Louis, S.J., Dascalu, S.M.: Interactive evolution of XUL user interfaces. Proceedings of Genetic and evolutionary computation GECCO 07, London, (2007), pp. 2151--2158.

Digital Library

Google Scholar

[6]

Russo G., Manfredonia E., Troiano A., Gragnani F.: Il Progetto SAPI, Sistema Automatico per Ipovedenti. Atti della Conferenza Italiana sul Software Libero, 11-13 May 2007, Cosenza, Italy, pp. 149--161.

Google Scholar

[7]

Sun Microsystems. Java look and feel design guidelines. (2001).

Digital Library

Google Scholar

[8]

Takagi, H., Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation, Proceedings of the IEEE, Volume 89, Issue 9, Sep 2001, pp. 1275--1296.

Crossref

Google Scholar

[9]

Troiano L., Birtolo C., Armenise R., Cirillo G. Optimization of menu layout by means of genetic algorithms, in Proc. of EVOCOP '08, Naples, Italy, LNCS 4972, Mar 2008, pp. 242--253.

Digital Library

Google Scholar

[10]

Troiano L., Birtolo C., Miranda M.: Adapting Palettes to Color Vision Deficiencies by Genetic Algorithm, in Proc. of Genetic and evolutionary computation GECCO '08, Atlanta, USA (submitted).

Digital Library

Google Scholar

Cited By

View all

Troiano LBirtolo CArmenise R(2017)Modeling and predicting the user next input by Bayesian reasoningSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-015-1870-721:6(1583-1600)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1007/s00500-015-1870-7
Troiano LBirtolo CArmenise R(2016)A validation study regarding a generative approach in choosing appropriate colors for impaired usersSpringerPlus10.1186/s40064-016-2659-65:1Online publication date: 15-Jul-2016
https://doi.org/10.1186/s40064-016-2659-6
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
https://doi.org/10.1007/s12652-015-0322-7
Show More Cited By

Index Terms

Generative UI design in SAPI project
1. Computing methodologies
  1. Artificial intelligence
    1. Search methodologies
      1. Heuristic function construction
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces

Recommendations

Akin: Generating UI Wireframes From UI Design Patterns Using Deep Learning
IUI '21 Companion: Companion Proceedings of the 26th International Conference on Intelligent User Interfaces

During the User interface (UI) design process, designers use UI design patterns for conceptualizing different UI wireframes for an application. This paper introduces Akin, a UI wireframe generator that allows designers to chose a UI design pattern and ...
The UI design process

The root cause of many user interface (UI) design deficiencies is not a lack of knowledge about human-computer interaction principles nor a lack of information on user needs. Rather, many UI deficiencies arise because the UI design process is ad hoc and ...
Pro Android UI

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

CHI EA '08: CHI '08 Extended Abstracts on Human Factors in Computing Systems

April 2008

2035 pages

ISBN:9781605580128

DOI:10.1145/1358628

General Chairs:
Mary Czerwinski
Microsoft Research, USA
,
Arnie Lund
Microsoft, USA
,
Program Chair:
Desney Tan
Microsoft Research, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 April 2008

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

CHI '08

Sponsor:

CHI '08: CHI Conference on Human Factors in Computing Systems

April 5 - 10, 2008

Florence, Italy

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI '25

Sponsor:
sigchi

CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
276
Total Downloads

Downloads (Last 12 months)15
Downloads (Last 6 weeks)1

Reflects downloads up to 16 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Troiano LBirtolo CArmenise R(2017)Modeling and predicting the user next input by Bayesian reasoningSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-015-1870-721:6(1583-1600)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1007/s00500-015-1870-7
Troiano LBirtolo CArmenise R(2016)A validation study regarding a generative approach in choosing appropriate colors for impaired usersSpringerPlus10.1186/s40064-016-2659-65:1Online publication date: 15-Jul-2016
https://doi.org/10.1186/s40064-016-2659-6
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
https://doi.org/10.1007/s12652-015-0322-7
Troiano LCirillo GArmenise RBirtolo C(2009)A Preliminary Experience in Optimizing the Layout of Web Pages by Genetic Algorithms to Fit Mobile DevicesProceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications10.1109/ISDA.2009.53(1055-1061)Online publication date: 30-Nov-2009
https://dl.acm.org/doi/10.1109/ISDA.2009.53
Li JYang XTao XTian J(2009)User Interface, System DesignEncyclopedia of Biometrics10.1007/978-0-387-73003-5_286(1363-1367)Online publication date: 2009
https://doi.org/10.1007/978-0-387-73003-5_286

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Akin: Generating UI Wireframes From UI Design Patterns Using Deep Learning

The UI design process

Pro Android UI