A Generative Approach for Android Sensor-based Applications

Ponciano, Tarik; Tabosa, Davi; Viana, Windson; Duarte, Paulo; Carmo, Rafael Augusto Ferreira do

doi:10.1145/3428658.3430976

Cited by 2 publications

(1 citation statement)

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“…These sensors enable applications to capture information from the environment to guide their behavior [1]. Mobile applications that use information from the environment are called Context-Aware Mobile Applications and frequently use this data to improve user experience [2].…”

Section: Introductionmentioning

confidence: 99%

A framework for developing context-aware mobile applications based on modularity, scalability, and compatibility

Magalhães

Marchi

Bortoli

2022

Preprint

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Research highlights the growing expansion of mobile devices equipped with sensors that enable the adaptation of context-aware applications. Thus, approaches that guide the development of these applications must be investigated. This study presents a framework for the development of a context-aware mobile application, through integrated representation models, architecture, and implementation guidelines, considering principles of modularity, scalability, and compatibility. To verify the assertiveness of the conceptual model and the proposed architecture, an evaluation was conducted with three systems analysts. The experts were able to practice the proposed concepts by answering a feedback questionnaire. The study also included the development of a mobile application with context-aware features, considering the guidelines defined in the framework. The application focused on dietary care and was tested by six nutrition professionals. After using the application for seven days, the professionals answered a context-aware perception questionnaire about the functionalities. Data were analyzed and the results showed that the feedback was satisfactory. Furthermore, the application created from the framework verified the feasibility of the proposed structure through its practical use with software experts and a case study.

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Section: Introductionmentioning

confidence: 99%