AI-Augmented Usability Evaluation Framework for Software Requirements
Specification
Abstract
A number of research in Information and Communication Technology (ICT)
have shown that usability is an important goal for software-based
interactive systems and products for a 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 the Artificial Intelligence
(AI) technology and existing usability evaluation methods’ processes can
aid to evolve more effective user-centered 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 that is the first step to furnishing a theoretical basis for
automated usability evaluation of HCI requirements for a given SRS with
an aim to improve the usability of a system under design.