Towards Qualitative and Quantitative Data Integration Approach for Enhancing HCI Quality Evaluation

Abstract

Over the two past decades, various HCI quality evaluation methods have been proposed. Each one has its own strengths and its own shortcomings. Different methods are combined to enhance the evaluation results. To obtain better coverage of design problems and to increase the system performance, subjective and objective methods can complement each other. However, the variability of these methods features poses a challenge to effectively integrate between them. The purpose of this paper is to enhance the evaluation of HCI quality by suggesting new approach intended for improving evaluation results. This method supports a mapping model between evaluation data. It aims to specify new quality indicators that effectively integrate qualitative and quantitative data based on a set of pre-defined quality criteria. Qualitative (items) and quantitative data are respectively extracted from highly cited HCI quality questionnaires and from existing tools.

Evaluating Quality Characteristics of Ubiquitous Application Through Means of Quality Models using Meta-metrics Approach

“…Olaleye & Oyelere [24] propose a conceptual model for this purpose which consists of five elements: Usability, Privacy, Trust, Reputation and Experience. However, as with other quality models such as QiU-4-MUI and HCI quality model by Assila & de Oliveira [25], the definition for quality characteristics in this model originate from existing quality characteristics of various sources of literatures.…”