Lógó, Emma, & Ildikó Petruska (2014). An empirical study from industrial design engineering students’ product experiences with intelligent every day used product. Acta Polytechnica Hungarica, 11(1), 173-192.
Abstract: This paper is investigating the latent factors affecting Industrial Design Engineer students’ everyday product use and analyse their product experiences. Different and distinct parts of product experience are frequently investigated, like usability, aesthetic judgments, or brand preferences. In this article authors examined a holistic aspect. Q-methodology is used for data collection and the sample is analyzed with a modified factor analysis. This method provides researchers a systematic and rigorously quantitative mathematical tool for examining human subjectivity. Q-set construction was the first step in order to reach the targeted aim. It was based on product experience case studies derived from students’ everyday product interactions. Focusing on the group of intelligent everyday product was the next step. Q-sorts (the data collection) concentrated on this type of human-product interactions with 23 products chosen by Q-sorters. After the factor analysis a combination of experience structure was shown by means of 8 different factors.
Emma Lógó <emma> is in the Institute of Applied Pedagogy and Psychology and the Department of Ergonomics and Psychology, Budapest University of Technology and Economics, Budapest, Hungary. Ildikó Petruska <petruskai> is in the Institute of Business Sciences and the Department of Management and Corporate Economics, Budapest University of Technology and Economics, Budapest, Hungary.