An Empirical Study to Evaluate the Usability of a Food Delivery Application Using HCI Framework

Quick Food is a convenient way of using a hybrid human-computer interaction (HCI) framework of cognitive usability UX approach that provides a comprehensive platform for customers to quickly and easily access a wide variety of food items for purchase. Evaluating user-product interaction involves combining expert insights and user preferences through a hybrid human-computer interaction (HCI) framework for enhanced outcomes in terms of the usability of a software product. The motivation behind our research stems from the concept of incorporating both expert and user perspectives to explore how they diverge or converge in assessing website usability and user experience. This inspires us to delve into the integration of these two parties within our study’s scope. The existing research gap in usability and user experience assessment arises from the absence of combining expert and user data studies, often concentrating solely on one-sided viewpoints, typically through a heuristic approach. To address this limitation, we introduced a data-driven assessment measure derived from a cognitive walkthrough. We then compared the results with user data about the domain’s specific context. Our data-driven hybrid HCI framework categorizes user survey responses into control, engagement, and goal domains, alongside computing context-level data (C1 to C7) via cognitive walkthrough. We validate user satisfaction and usability perceptions by contrasting these context-level user data with expert thresholds. Furthermore, user comments are analyzed concerning software design parameters to assess user experience levels. In terms of a data-driven hybrid HCI framework, this paper outperforms by incorporating evaluations from both user and expert levels while providing valuable insights into usability and user experience.