Incorporating Cognitive Neuroscience Techniques to Enhance User Experience Research Practices

User Experience (UX) involves every interaction that customers have with products, and it plays a crucial role in determining the success of a product in the market. While there are numerous methods available in literature for assessing UX, they often overlook the emotional aspect of the user\u27s experience. As a result, cognitive neuroscience methods are gaining popularity, but they have certain limitations such as difficulty in collecting neurophysiological data, potential for errors, and lengthy procedures. This article aims to examine the most effective research practices using cognitive neuroscience techniques and develop a standardized procedure for conducting UX research. To achieve this objective, the study conducts a comprehensive review of UX research that employs cognitive neuroscience methods published between 2017 and 2022

Attractive User Interface Elements : Measurement and prediction

The years 2020–2021 mark a time when the global population was encountered by a world-wide pandemic. The lockdown had devastating consequences on many industries and individuals, and the emergence of global economies into the postpandemic recovery has only just begun. However, as people adapted to the pandemic by embracing a mobile lifestyle, industries that employed graphical user interfaces as a means of human-computer interaction saw tremendous growth, exceeding everyone’s expectations despite predictions of a slowdown. One example is the mobile apps and games markets, touted as the fastest growing marketplaces worldwide. At the moment, the impact of the mobile economy is undeniably high, and it does not show signs of stalling. As we look ahead and start the 'return to physical', we can see new mobile habits take shape in our everyday life. Today, people conduct most daily functions via graphical user interfaces, due to the increasing technology-mediated nature of all human praxis, such as socializing, work, education, and entertainment. The interaction is realized on various different platforms, be they on desktop, mobile devices, VR or (smart) TVs. Although user interfaces themselves are not novel, their role is more significant now than anyone could have imagined only a few decades ago. Attractive visual designs in user interfaces have proven to enhance many aspects concerning usability, sense of pleasure and trust, but evaluating aesthetics is challenging due to the subjective nature of user perception. Although several theories and measurement instruments have been developed in order to assess and design pleasing user interfaces, the measures remain scattered. Therefore, the aim of this dissertation is to expand knowledge on how the visual aesthetics of graphical user interfaces can be modelled, evaluated, and assessed. Through four studies, this dissertation provides an overview of the state-of-theart in the literature of measurement instruments of visual aesthetics for graphical user interfaces. The dimensions of aesthetic perception that emerge in the context of user interface elements are also examined and introduced by developing a scale for measuring perceptions. As engaging and intuitive imagery has become one of the most valuable assets in today’s attention economy, the studies also observe individual user perceptions of different demographic groups and their relationships on aesthetic qualities to determine how they predict the success of graphical elements. The publications employ methodology ranging from a systematic literature review to sophisticated, quantitative statistical modelling methods to accurately identify and address each of the described phenomena by standardized means. The findings provided by this dissertation greatly contribute to existing literature on the measurement and prediction of visually pleasing graphical user interfaces both practically and theoretically. Advancing knowledge and guidelines in this fast-paced field requires assessment from a wide perspective, including the observation of prior work, and the adaptation of measures to the modern economy by highlighting user behavior and preferences. This is particularly important in the milieu of the increasingly growing prevalence of graphical user interfaces that will continue shaping our lives in ways unimaginable