AI-augmented usability evaluation framework for software requirements specification in cyber physical human systems

A number of research in Information and Communication Technology (ICT) have shown that usability is an important goal for cyber-physical human systems for wider acceptance by their end-users. To evaluate the usability of a system under design, usability evaluation methods predominantly rely on subject matter experts or testers' assessments. However, integrating Artificial Intelligence (AI) technology and existing usability evaluation methods' processes can aid to evolve more effective user-centred designs. In this paper, we conceptualize an AI-augmented usability evaluation framework (AIUEF) that aims at replacing ‘end-users’ with ‘personas’ to evaluate requirements involving human-computer interaction (HCI) for a given Software Requirements Specification (SRS). We present a blueprint of AIUEF establishing a theoretical basis for an automated usability evaluation of HCI requirements for a given SRS with an aim to improve the usability of a system under design.