Dr Elaheh (Ela) HomayounVala

Staff details

Position Lecturer in Computer Science

Department Computing

Email e.homayounvala (@gold.ac.uk)

Phone +44 (0)20 7 919 7856

Elaheh Homayounvala (PhD King’s College London) is a Lecturer in Computer Science at Goldsmiths, University of London. Her research is multi-disciplinary and is focused on Technology and People to understand how people interact with technology and how to adapt technology to needs and preferences of people, which are usually named “User Modelling and Personalisation”.

Research Interests

Some of her research topics are, but not limited to user modelling and personalisation, Human-Computer Interaction (HCI), adaptive and context-aware user interfaces, technology acceptance and persuasive technologies. Some of the research projects she has supervised so far are as follows:

User modelling and personalisation for context-aware augmented reality maintenance software
Personalisation and usability evaluation of mobile interactive recommender systems (In collaboration with Technical University of Munich)
Modelling and automatic detection of learners’ learning style in Moodle for personalised e-learning systems
Modelling learner’ knowledge level with Fuzzy Cognitive Maps for personalised e-learning systems
User preferences in health information systems
Adaptive user interfaces in health/e-learning
Usability and user acceptance evaluation of persuasive self-tracking applications
Usability evaluation of multimodal in-car user interfaces
Automatic usability evaluation of user interfaces (web and augmented reality user interfaces)
User acceptance of mobile augmented reality software in the tourism industry
Cross-system user modelling for social networking websites
Usability evaluation and adaptation of medical data visualisation
User-centric digital identity management systems

Publications

Article

Cheraghchi, Hamideh Sadat; Zakerolhosseini, Ali; Bagheri Shouraki,, Saeed and Homayounvala, Elaheh . 2019. A novel granular approach for detecting dynamic online communities in social network. Soft Computing, 23(20), pp. 10339-10360. ISSN 1432-7643

Homayounvala, Elaheh and Alavian Ghavanini, Sanaz. 2019. Comparing Usability and User Acceptance of two Mobile Mood Tracking Applications with Different Input Methods. International Journal of Technology and Human Interaction (IJTHI), ISSN 1548-3908

Eslami, Mahboubeh; Firoozabadi, Mohammad and Homayounvala, Elaheh . 2018. User preferences for adaptive user interfaces in health information systems. Universal Access in the Information Society, 17(4), pp. 875-883. ISSN 1615-5289

Alavian Ghavanini, Sanaz; Homayounvala, Elaheh and Rezaian, Ali. 2018. Mood-tracking application as persuasive technology for reduction of occupational stress. International Journal of Mobile Learning and Organisation, 12(2), pp. 143-161. ISSN 1746-725X

Akbarinasaji, Shahram and Homayounvala, Elaheh . 2017. A novel context-aware augmented reality framework for maintenance systems. Journal of Ambient Intelligence and Smart Environments, 9(3), pp. 315-327. ISSN 1876-1364

Tajbakhsh, Mehrdad; Homayounvala, Elaheh and Shokohyar, Sajjad. 2017. Forensically ready digital identity management systems, issues of digital identity life cycle and context of usage. International Journal of Electronic Security and Digital Forensics, 9(1), pp. 62-83. ISSN 1751-911X

Khalilzadeh Salmasi, Maryam; Talebpour, Alireza and Homayounvala, Elaheh . 2016. Identification and classification of organizational level competencies for BI success. Journal of Intelligence Studies in Business, 6(2), pp. 17-33.

Conference or Workshop Item

Homayounvala, Elaheh ; Nabati, Mohammad; Shahbazian, Reza; Ghorashi, Seyed Ali and Moghtadaiee, Vahideh. 2019. 'A Novel Smartphone Application for Indoor Positioning of Users based on Machine Learning'. In: AppLens Workshop, UbiComp/ISWC '19 Adjunct. London, United Kingdom 9-10 September 2019.