An Empirical Study from Industrial Design Engineering Students%26apos; Product Experiences with Intelligent Every Day Used Product

作者：Logo Emma^*; Petruska Ildiko

来源：Acta Polytechnica Hungarica, 2014, 11(1): 173-192.

• Q-methodology
• Product experience
• Industrial Design Engineer student
• Intelligent product
• Subjectivity

This paper is investigating the latent factors affecting Industrial Design Engineer students%26apos; 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%26apos; 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.

• 出版日期2014