Assistive Tool for Emotion and Importance Quadrant LEIQ™

• Published in: Communications in Computer and Information Science
• Main Author: Mustafa N.B.D.; Hamidi S.R.; Hussein S.S.; Shuhidan S.M.
• Format: Conference paper
• Language: English
• Published: Springer Science and Business Media Deutschland GmbH 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210253190&doi=10.1007%2f978-981-97-9890-2_7&partnerID=40&md5=4429dcb5cd3509c0d9abe12e46e41c9d

In today's rapidly growing digital world, effective and user-centered experiences rely on integrating emotions into the design of digital products. This study focuses on investigating the LEIQ™ paradigm and creating computer-aided assistive tools for enhancing the evaluation of emotion-driven user experience (UX) in web-based solutions. Given the increasing incorporation of technology into our everyday routines, it is critical to understand the impact of emotions on user interactions. Emotional experiences play a crucial role in the efficacy of online design and development, as they have a substantial impact on user engagement, contentment, and product loyalty. The study acknowledges the limitations of existing methods for evaluating emotions, which include challenges in managing and analyzing the large datasets generated by frameworks like LEIQ™. Thus, this paper aims to develop a prototype assistive tool specifically designed for LEIQ™ emotion measurement, with the intention of addressing these shortcomings. This advancement reduces the need for a human workforce by providing the opportunity to quickly and accurately acquire information using automated technology. Potential gains for LEIQ™ practitioners, IT artifact designers, developers, and product organizations are envisaged by the research. The ensuing solution, which goes beyond LEIQ™ data consolidation, has the potential to completely alter emotional UX research by going deeper and encompassing all areas of LEIQ™ data processing. Finally, the assistive tool's usefulness may improve by making data interpretation in the digital age easier across a range of prospects and disciplines. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.