Engineering human-in-the-loop cyber-physical systems

• Autores: Miriam Gil, Manoli Albert, Joan Fons, Vicente Pelechano Ferragud
• Localización: Actas de las XXV Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2021): [Málaga, 22 al 24 de septiembre de 2021] / coord. por Rafael Capilla Sevilla, Maider Azanza Sese, Miguel Rodríguez Luaces, M. M. Roldán García, Dolores Burgueño Caballero, José Raúl Romero Salguero, José Antonio Parejo Maestre, José Francisco Chicano García, Marcela Genero, Óscar Díaz García, José González Enríquez, María Carmen Penades Gramage; Silvia Mara Abrahao Gonzales (col.), 2021
• Idioma: inglés
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• Resumen

  • Context: Cyber-Physical Systems (CPSs) are gradually and widely introducing autonomous capabilities into everything. However, human participation is required to accomplish tasks that are better performed with humans (often called human-in-the-loop). In this way, human-in-the-loop solutions have the potential to handle complex tasks in unstructured environments, by combining the cognitive skills of humans with autonomous systems behaviors. Objective: The objective of this paper is to provide appropriate techniques and methods to help designers analyze and design human-in-the-loop solutions. These solutions require interactions that engage the human, provide natural and understandable collaboration, and avoid disturbing the human in order to improve human experience. Method: We have analyzed several works that identified different requirements and critical factors that are relevant to the design of human-in-the-loop solutions. Based on these works, we have defined a set of design principles that are used to build our proposal. Fast-prototyping techniques have been applied to simulate the designed human-in-the-loop solutions and validate them. Results: We have identified the technological challenges of designing human-in-the-loop CPSs and have provided a method that helps designers to identify and specify how the human and the system should work together, focusing on the control strategies and interactions required. Conclusions: The use of our approach facilitates the design of human-in-the-loop solutions. Our method is practical at earlier stages of the software life cycle since it allows domain experts to focus on the problem and not on the solution.