Heuristic inspection to assess persuasiveness: A case study of a mathematics e-learning program

Abstract

This research extends existing heuristic inspection with criteria grids to include emotional and persuasiveness factors. We first review the existing criteria and categorize them into four major groups, aligned along a historic perspective of HCI. Hence, we find criteria that fall into (a) accessibility, (b) usability, then (c) affective, and finally (d) persuasive categories. In the second part of the paper, we focus on heuristic inspection based on persuasive criteria. We show their importance and apply them to the example of an e-learning platform for college mathematics. Results of the heuristic inspection of the persuasive factors are reported along with their prescribed recommendations. © 2014 Springer International Publishing Switzerland.