Publications
Development and Validation of Four Social Scales for the UX Evaluation of Interactive Products
Journal: International Journal of Human-Computer Interaction
Authors: Ehsan Mortazavi, Philippe Doyon-Poulin, Daniel Imbeau, Jean-Marc Robert
Year: 2023
The social dimension of interactive products covers all aspects of our relationships with others that are impacted by owning and using such products. Although social features are making their way into a growing number of interactive products, there is a lack of an evaluation tool to capture the social dimension of the user experience (UX). This study addressed this shortcoming by developing and validating new social scales based on the UEQ + framework. We developed four social scales to encompass various aspects within the social dimension. For scale development, 229 participants rated their UX with products having social aspects. Exploratory factor analysis allowed us to identify four sub-dimensions (Identification, Social interaction, Social stimulation, and Social acceptance), each evaluated with four items. For scale validation, 450 participants evaluated the UX of three product categories, using the new social scales, AttrakDiff, and the six UX dimensions of UEQ+. Results of MANOVA showed that the social scales discriminated the three categories (F (8, 560) = 20.68, p < 0.001, Pillai’s trace = 0.456). The four social scales developed in this study can be combined with other UX dimensions of the UEQ + modular framework to provide a comprehensive overview of user interaction with products.
Status: Published
DOI: https://doi.org/10.1080/10447318.2023.2258026
Abstract:
Identifying the importance of UX dimensions for different software product categories
Journal: Interacting with Computers
Authors: Ehsan Mortazavi, Philippe Doyon-Poulin, Daniel Imbeau, Jean-Marc Robert
Year: 2024
Billions of users around the world use mobile applications and computer software to achieve their professional and personal goals. This situation drives User Experience (UX) researchers and practitioners to assess the importance of UX dimensions across different products, to facilitate the design, development and evaluation of new products. To that end, this study surveyed a group of 200 end users and 8 UX experts from Canada to document the importance of 21 UX dimensions for 15 software product categories. The results confirmed that the importance of UX dimensions varies between product categories. Comparing the findings to those of similar studies conducted in Germany and Indonesia revealed that, while culture influences the rating of UX dimensions, the importance of UX dimensions is still determined by the product category. Comparisons between the importance ratings of UX dimensions between end users and experts and within end users were not significant in 77% and 97% of cases, respectively. Results showed that task-based product categories rely more on pragmatic dimensions (i.e., functionality and usability) while leisure-based products value hedonic dimensions (i.e., pleasure) as well. This study benefits researchers and practitioners by enabling them to select the most important UX dimensions for evaluating their products.
Status: Published
DOI: 10.1093/iwc/iwae001
Abstract:
Exploring the Landscape of UX Subjective Evaluation Tools and UX Dimensions: A Systematic Literature Review (2010-2021)
Journal: Interacting with Computers
Authors: Ehsan Mortazavi, Philippe Doyon-Poulin, Mitra Taraghi, Daniel Imbeau, Jean-Marc Robert
Year: 2023
The quality of the User Experience (UX) with systems, products, and services is now considered an indispensable part of success in the market. Nowadays there exist numerous UX subjective evaluation tools for researchers and practitioners, yet guidance on their selection and use is few. Therefore, there is a need to provide a critical state of the art on the topic of subjective evaluation tools and the UX dimensions covered. In this study, we conducted a systematic literature review on UX subjective evaluation tools and the UX dimensions covering the period of 2010-2021 with an initial sample of 3831 publications, 325 of which were selected for the final analysis, to provide researchers and practitioners with the recent changes in the field of UX. Results showed that 104 different tools are available for UX evaluation, they can be classified as general or domain-specific, applicable for a wide variety of products, and in total covering more than 300 UX dimensions. Our categorization of UX dimensions under 13 main dimensions (e.g., usability, utility, hedonic, emotion, sensory, etc.) showed that the informational, social, cognitive, and physical dimensions appeared to be less frequently present in current tools. We argue that these four dimensions deserve more space in UX tools. Having a high number of UX evaluation tools can be confusing for evaluators, and they need some guidance for selecting and combining tools. Modularity is the emerging trend in the development of UX evaluation questionnaires (e.g., meCUE, UEQ+), bringing the benefits of being thorough, flexible, easy to use, low-cost, and rapid, while avoiding overlapping of dimensions and providing comparability through the use of a similar format and rating scale. Finally, the need for having a comprehensive evaluation tool requires updating the set of included dimensions to accommodate for new generations of products and technologies.
Status: Under review
Abstract:
An investigation into the factors affecting mobile learning adoption Case study: Management students of Tehran University and Ferdowsi University of Mashhad
Journal: Journal of Executive Management
Authors: Amir Manian, Babak Sohrabi, Ehsan Mortazavi
Year: 2015
In recent years mobile devices popularity has led the education industry to look for ways to use them as learning tools for users to achieve self-learning anytime and anywhere. Since understanding the factors affecting the adoption of any new technology is the first step in its implementation, the main objective of this study is to identify factors affecting the mobile learning adoption. Hence, the theory of planned behavior was used as theoretical foundation in order to achieve this goal. The study population consisted of 318 management students of two major universities in Iran. In order to test the hypotheses proposed by the research model, structural equation model was used by Lisrel software. The results showed that the three main variables of the theory of planned behavior have direct and significant relationship with behavioral intention. The relationship between perceived ease of use and perceived usefulness with attitude and the relationship between learning autonomy and perceived behavioral control were not confirmed.
Status: Published
Abstract: