Department of Computer Science and Engineering- Artificial Intelligence and Machine Learning, Kallam Haranadhareddy Institute of Technology, Chowdavaram, Guntur, Andhra Pradesh, India.
This study investigates how Motion Analysis (MA) and Ergonomic Interface Design (EID) can enhance the User Experience (UX) in e-commerce (E-comm) platforms. MA, including Eye-Tracking (ET) and Gesture Recognition (GR), was used to examine User Interfaces (UI) patterns, while EID principles were applied to optimize UI elements such as button size, layout spacing, and navigation. A total of 45 participants, considered by device preference and shopping habits, were observed across PC, mobile, and tablet platforms. Key findings indicate that mobile users engage in more frequent hand and wrist movements and UX higher discomfort levels due to smaller screens and touch-based UI, while PC users reported the highest comfort levels. Scroll depth analysis revealed that mobile users scrolled the deepest, especially during product discovery, while PC users engaged less with deeper content. GA showed heavy UI with more complex gestures, such as pinch-to-zoom and drag-and-drop, while light users relied on more straightforward gestures like tapping and scrolling. EID improvements significantly reduced movement frequency and increased comfort, particularly for mobile and tablet users. The study concludes that optimizing E-comm platforms through MA and EID leads to enhanced usability, reduced physical strain, and greater user satisfaction across devices.
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CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Sundari Dadhabai, Firas Tayseer Ayasrah, Kancharla K Chaitanya, Arivazhagan D, Jagadeesan P and Rahmaan K;
Methodology: Sundari Dadhabai, Firas Tayseer Ayasrah and Kancharla K Chaitanya;
Software: Arivazhagan D, Jagadeesan P and Rahmaan K;
Data Curation: Sundari Dadhabai, Firas Tayseer Ayasrah and Kancharla K Chaitanya;
Writing- Original Draft Preparation: Arivazhagan D, Jagadeesan P and Rahmaan K;
Visualization: Arivazhagan D, Jagadeesan P and Rahmaan K;
Investigation: Sundari Dadhabai and Firas Tayseer Ayasrah;
Supervision: Sundari Dadhabai, Firas Tayseer Ayasrah and Kancharla K Chaitanya;
Validation: Sundari Dadhabai and Firas Tayseer Ayasrah;
All authors reviewed the results and approved the final version of the manuscript.
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Sundari Dadhabai
KL Business School, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Andhra Pradesh, India.
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Cite this article
Sundari Dadhabai, Firas Tayseer Ayasrah, Kancharla K Chaitanya, Arivazhagan D, Jagadeesan P and Rahmaan K, “Optimising the User Experience in E-Commerce Platforms Using Ergonomic Interface Design and Motion Analysis”, Journal of Machine and Computing, vol.5, no.1, pp. 622-632, January 2025, doi: 10.53759/7669/jmc202505049.
