Journal on Multimodal User Interfaces

, Volume 12, Issue 1, pp 1–16 | Cite as

Model-based adaptive user interface based on context and user experience evaluation

  • Jamil Hussain
  • Anees Ul Hassan
  • Hafiz Syed Muhammad Bilal
  • Rahman Ali
  • Muhammad Afzal
  • Shujaat Hussain
  • Jaehun Bang
  • Oresti Banos
  • Sungyoung Lee
Original Paper
  • 232 Downloads

Abstract

Personalized services have greater impact on user experience to effect the level of user satisfaction. Many approaches provide personalized services in the form of an adaptive user interface. The focus of these approaches is limited to specific domains rather than a generalized approach applicable to every domain. In this paper, we proposed a domain and device-independent model-based adaptive user interfacing methodology. Unlike state-of-the-art approaches, the proposed methodology is dependent on the evaluation of user context and user experience (UX). The proposed methodology is implemented as an adaptive UI/UX authoring (A-UI/UX-A) tool; a system capable of adapting user interface based on the utilization of contextual factors, such as user disabilities, environmental factors (e.g. light level, noise level, and location) and device use, at runtime using the adaptation rules devised for rendering the adapted interface. To validate effectiveness of the proposed A-UI/UX-A tool and methodology, user-centric and statistical evaluation methods are used. The results show that the proposed methodology outperforms the existing approaches in adapting user interfaces by utilizing the users context and experience.

Keywords

Human computer interaction Personalized user interface Adaptive user interface User experience Context-aware user interfaces Model-based user interface 

Notes

Acknowledgements

This work was supported by the Industrial Core Technology Development Program (10049079, Develop of mining core technology exploiting personal big data) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea). This work was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion). This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655) and NRF-2016K1A3A7A03951968.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer Science & EngineeringKyung Hee University (Global Campus)Giheung-gu, Yongin-siRepublic of Korea
  2. 2.Quaid-e-Azam College of CommerceUniversity of PeshawarPeshawarPakistan
  3. 3.College of Electronics and Information EngineeringSejong UniversitySeoulSouth Korea
  4. 4.Telemedicine Group, Faculty of Electrical Engineering, Mathematics and Computer ScienceUniversity of TwenteEnschedeThe Netherlands

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