Nothing Special   »   [go: up one dir, main page]

Skip to main content

An Ontology-Based Approach for User Interface Adaptation

  • Chapter
  • First Online:
Advances in Intelligent Systems and Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 512))

Abstract

With the evolution of a wide variety of mobile devices, computing is not limited to the desktop mode. The traditional User Interface (UI) is often not appropriate for ubiquitous computing and mobile applications and thus new challenges are emerging. The concept of Adaptive User Interface (AUI) is a new search direction in the field of human-machine interaction that aims at supporting the interaction between the user and the interface. In fact, AUI is an interface which adapts itself according to user’s profile, platform and environment. Most of the existing work in adaptation of UI relies on manual declarative rules definition using combinations of context criteria (user experience, user motivation, age, etc.) and the interface characteristics (density, color, etc.). However, there is no standard definition of context criteria based on their equivalents interface characteristics. In fact, the same interface attributes could be associated with many context criterion. This paper presents an ontology of UI adaptation process and how it is used for the personalization container of user interfaces by using SWRL rules. We evaluate our approach on AUIs of project called HandicraftWomen. It aims to support handcraft women in their business activities. The obtained results confirm the efficiency of our technique with an average of more than 77 % of precision and recall.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook
USD 15.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Vargin, G., Grilly, G.: Information and interaction requirements for software tools supporting analogical design. Artif. Intell. Eng. Design Anal. Manuf. 29(2), 203–214 (2015)

    Article  Google Scholar 

  2. Soui, M., Ghédira, K., Hammadi, S.: Proposal of personalized multimodal information diffusion system. In: Proceedings of the 1st International Conference on ICT & Accessibility, ICTA, vol. 2007, pp. 219–224 (2007)

    Google Scholar 

  3. Lavie, T., Meyer, J.: Benefits and costs of adaptive user interfaces. Int. J. Hum Comput Stud. 68(8), 508–524 (2010)

    Article  Google Scholar 

  4. Sangineto, E.: An Adaptive E-Learning Platform for Personalized Course Generation, pp. 262–281. Idea Group Inc, Hershey (2008)

    Google Scholar 

  5. Yesilada, Y., Stevens, R., Harper, S., Goble, C.: Evaluating DANTE: Semantic transcoding for visually 7 disabled users. ACM Trans. Hum.-Comput. Interact. 14, 3 (2007)

    Article  Google Scholar 

  6. Jovanovic, J., Gasević, D., Devedzić, C.V.: Tangram for personalized learning using the semantic web technologies. J. Emerg. Technol. Web Intell. 1(1), 6–21 (2009)

    Google Scholar 

  7. Abascal, J., Aizpurua, A., Cearreta, I., Gamecho, B., Garay, N., Minón, R.: A modular approach to user interface adaptation for people with disabilities in ubiquitous environments. EHU-KAT-IK-01-11 (2011)

    Google Scholar 

  8. De Oliveira, K.M., Bacha, F., Mnasser, H., Abed, M.: Transportation ontology definition and application for the content personalization of user interfaces. Expert Syst. Appl. 40(8), 3145–3159 (2013)

    Article  Google Scholar 

  9. Moisuc, B.: Design and implementation of adaptive spatiotemporal information systems: the framework ACTIS. Doctoral thesis UJF, supervised by Hervé Martin(2007)

    Google Scholar 

  10. Treiblmaier, H., Madlberger, M., Knotzer, N., Pollach, I.: Evaluating personalization and customization from an ethical point of view: an empirical study. In: Proceedings of the 37th Annual Hawaii International Conference on (p. 10) (2004)

    Google Scholar 

  11. Hirsh, H., Basu, C., Davison, B.D.: Learning to personalize. Commun. ACM 43(8), 102–106 (2000)

    Article  Google Scholar 

  12. Dey, A.: K, Understanding and using context. Pers. Ubiquit. Comput. 5(1), 4–7 (2001)

    Article  Google Scholar 

  13. Chen, G., Kotz, D.: A survey of context-aware mobile computing research. Technical Report TR 2000-381 (2000)

    Google Scholar 

  14. Schilit, B., Adams, N., Want, R.: Context-aware computing applications. In: Proceedings of the International Workshop on Mobile Computing Systems and Applications, IEEE Computer Society, pp. 85–90 (1994)

    Google Scholar 

  15. Calegari, S. Pasi, G.: Ontology-based information behaviour to improve web search, future internet, vol. 2(4), pp. 533–558 (2010)

    Google Scholar 

  16. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing? Int. J. Hum Comput Stud. 43(5), 907–928 (1995)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Makram Soui .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Soui, M., Diab, S., Ouni, A., Essayeh, A., Abed, M. (2017). An Ontology-Based Approach for User Interface Adaptation. In: Shakhovska, N. (eds) Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-319-45991-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-45991-2_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45990-5

  • Online ISBN: 978-3-319-45991-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics