Motivation is a fundamental concept in understanding people’s experiences and behavior. Yet, motivation to engage with an interactive system has received only limited attention in HCI. We report the development and validation of the User Motivation Inventory (UMI). The UMI is an 18-item multidimensional measure of motivation, rooted in self-determination theory (SDT). It is designed to measure intrinsic motivation, integrated, identified, introjected, and external regulation, as well as amotivation. Results of two studies (total N = 941) confirm the six-factor structure of the UMI with high reliability, as well as convergent and discriminant validity of each subscale. Relationships with core concepts such as need satisfaction, vitality, and usability were studied. Additionally, the UMI was found to detect differences in motivation for people who consider abandoning a technology compared to those who do not question their use. The central role of motivation in users’ behavior and experience is discussed.
Plain Language and Easy-to-Read Language are two approaches to reduce language complexity, which are also applied in the context of Web Accessibility. While Easy-to-Read Language was specifically designed to meet the needs of people with cognitive and learning disabilities, benefits for users with a variety of abilities have been reported. However, studies have also found unintended side-effects on non-disabled users, such as reduced text liking and intention to revisit a website compared to variants in conventional language. The present study addresses this issue by testing two approaches combining conventional with Easy-to-Read Language against a Plain Language variant, as well as a control group in conventional language. In an online study, 308 non-disabled participants read three texts presented in one of the four language variants. Measurements of performance indicators as well as subjective responses show that Easy-to-Read language may be implemented without unintended side-effects.
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