Evaluation of User Experience (UX) Design for Emerging Technologies
Research in UX design provides insights into evolving user expectations, enabling designers and developers to future-proof their practices and ensure that design solutions remain relevant and effective as technologies advance.
Abstract
The unique challenges inherent in designing for emerging technologies. As these technologies often lack established design principles, UX designers are confronted with the task of navigating uncharted territory. This section examines the complexities associated with understanding user behaviors, expectations, and preferences when interacting with cutting-edge technologies. Adaptive design, user-centered approaches, and iterative prototyping are among the strategies discussed to ensure a user-centric approach that accommodates the evolving nature of these technologies. Special attention is given to the integration of human-computer interaction (HCI) theories and cognitive psychology principles to enhance the overall user experience. UX design for emerging technologies places humans at the center of technological innovation. Research in this area ensures that new technologies align with user needs, preferences, and behaviors, fostering a more natural and intuitive interaction between users and technology. The dynamic nature of emerging technologies necessitates continuous adaptation. Research in UX design provides insights into evolving user expectations, enabling designers and developers to future-proof their practices. This adaptability ensures that design solutions remain relevant and effective as technologies advance. The COPRAS-G method requires identifying selection criteria; evaluating information related to these criteria, and developing methods to evaluate Meeting the participant's needs Criteria for doing in order to assess the overall performance of the surrogate. Decision analysis involves a Decision Maker (DM) Situation to do consider a particular set of alternatives and select one among several alternatives, usually with conflicting criteria. For this reason, the developed complexity proportionality assessment (COPRAS) method can be used. From the result Voice Assistant is got the first rank whereas is the VR headset is having the lowest rank.