SLIIT Conference and Symposium Proceedings

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All SLIIT faculties annually conduct international conferences and symposiums. Publications from these events are included in this collection.

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    Balancing User Engagement and Sustainable Web Design: A Comparative Study of 2D and 3D Hero Sections Using Kansei Engineering
    (Sri Lanka Institute of Information Technology, 2026-05-21) Sandaruwan, R. M .T.; Somaweera, W. T. S.; Vasanthapriyan, S.; Sathyanjana, W.W.N.C.
    With the increasing usage of digital platforms across the globe, the decisions made by designers in regards to web interfaces affect not only the interaction but also the sustainability of digital systems in the long-term. The primary visual entry point is the hero section which is usually the initial section of the page that the visitor looks at. However, the cost that the environment of the world would bear in case of using heavy 3-dimensional (3D) graphics in place of lighter 2-dimensional (2D) elements is rather unknown. This paper explores trade-off, applied to assess the 2D and 3D hero designs on user engagement and sustainability with the help of Kansei Engineering. A total of one hundred respondents (20-30 years old) rated 20 hero designs in ten themes. They rated clarity, immersion, excitement and rofessionalism. The PCA was used to identify the important perceptual attributes used to make decisions. Findings indicate that 3D graphics enhanced immersion and excitement with average scores of more than 4.5 out of 5 and 65 percent of the participants preferring 3D graphics. On the contrary, 2D graphics obtained a higher clarity and professionalism score, averages were 3.2 to 3.9 and were more relied upon in a situation where reliability was important. Although 3D components enhance emotional appeal, they significantly increase the computing capabilities, which is why the consideration of experience and smart design are crucial. These results provide guidelines to designers of how they can maximize user interaction and how they can facilitate sustainable web interfaces.
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    PublicationOpen Access
    Fitness Warrior: Fitness and Nutrition Tracker with Personalized Goal Generation
    (SLIIT City UNI, 2025-07-08) De Mel, Y.D; Nallapperuma, P.M
    Fitness Warrior is a comprehensive mobile fitness tracking application developed using React Native and Firebase that addresses critical limitations in existing solutions through the innovative integration of machine learning, gamification, and social features. Traditional fitness applications suffer from inaccurate step detection (with error rates exceeding 20% error rates), inefficient nutrition tracking interfaces, poor user retention (with 73% abandonment within three months), and a lack of adaptive personalization. This project uniquely implements ondevice machine learning via TensorFlow.js for privacypreserving step detection, combines TF-IDF vectorization with cosine similarity for efficient food searching, and incorporates principles of Self-Determination Theory through a cohesive social motivation framework. Development followed the Agile Scrum methodology, implementing a CNN-based model processing sensor data at 50Hz sampling rate, creating a database of 2,395 food items with optimized search algorithms, and designing gamified social features. The application achieves 95.2% real-world step counting accuracy compared to manual counting, significantly outperforming conventional threshold-based approaches (48.3% accuracy), while the calorie tracker delivers 92.7% relevant results in top-5 suggestions with 126ms search latency. Evaluation with 21 users demonstrated exceptional impact: 95.3% reported increased daily steps, 90.4% experienced greater calorie intake awareness, and 71.4% found social features strongly motivating. The application received outstanding approval with 90.5% of testers rating overall satisfaction at 8 or higher on a 10-point scale. This research successfully demonstrates how integrated, machine learning-enhanced fitness applications can meaningfully impact user health behaviours while overcoming significant limitations in existing solutions.