Gender-based behavioral analysis for end-user development and the ‘RULES’ attributes

This paper addresses the role of gender in End-User Development (EUD) environments and examines whether there are gender differences in performance and in correlations between performance and a set of behavioral attributes. Based on a review of the most prominent EUD-related behavioral Human Computer Interaction (HCI) theories, and the influence of gender on them, it attempts to classify all the gender related behavioral attributes influencing the end-users’ performance. Then, it theoretically selects a subset of these attributes, namely Risk-Perception, Usefulness-Perception,Learning Willingness, Ease-of-Use-Perception, and Self-Efficacy, presents an example application and conducts a basic evaluation testing. The proposed attributes (their initials form the word RULES) can form the basis for the design of EUD-oriented user modeling techniques for gender-neutral self-adaptive software EUD environments. © 2016, Springer Science+Business Media New York

Engaging end-users in creating data-intensive mobile applications: A creative 'e-learning-by-doing' approach

Engaging end-users in creative and experiential e-learning activities by giving them the 'right tools' can be viewed as a way to empower end-users in developing their own artifacts. The aim of this paper is to propose 'e-learning-by-developing', a creative learning-by-experience methodology, that can support end-users to develop data intensive mobile applications. The proposed learning approach aims to create a training model for the acquisition of knowledge and development of skills for database-driven applications, by promoting active participation of the-user in the development process. Preliminary experimental evaluation showed that end-users, with limited prior database knowledge and development background, were able to quickly and efficiently design a relational scheme and create a reusable database driven mobile application. © 2015 IEEE