Customised User Interfaces Based on Persona

Different human aspects influence the way end users interact with software. End users with different characteristics have different needs and preferences while using the same software.

User interfaces (UIs) are currently not developed to provide alternatives based on different preferences. End users have myriad UI preferences for software based on their age groups, culture, personality, values, digital literacy and other factors.

To help developers meet the diverse needs of end users, we proposed an approach which embeds UI creation and adaptability of software UI based on different user facets.

In this project we aim to identify prominent human aspects of the end users of a user interface and dynamically update the appearance of the user interface in terms of content presentation and usability based on those end user human aspects. This will make a significant contribution in making inclusive software products for end users with different human aspects.

Our industry partner in this project is WeExplore organisation.

Publications

Huang, Y.; Kanij, T.; Madugalla, A.; Mahajan, S.; Arora, C. and Grundy, J. (2024). Unlocking Adaptive User Experience with Generative AI. In Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-696-5; ISSN 2184-4895, SciTePress, pages 760-768. DOI: 10.5220/0012741000003687

Project Lead

Dr Tanjila Kanij