The module aims to provide students with a comprehensive understanding of intelligent user interaction design principles. It will cover the theoretical and practical aspects of creating intelligent, intuitive, and user-centered interfaces. The course will explore how to design, evaluate, and implement user interfaces that are both functional and aesthetically pleasing, with a particular emphasis on incorporating intelligence through AI and machine learning technologies. The module will also delve into emerging trends in user interaction design.
A Demonstrate a thorough understanding of intelligent user interaction theories and models B Apply user-centred design principles to create user interfaces that are intuitive, efficient, and accessible. C Integrate machine learning techniques into user interface for adaptive and personalized user experiences. D Apply and analyse emerging technologies in user interaction design.
The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This philosophy is carried through in terms of assessment, with reduction on the use of exams and increase in coursework, especially problem-based assessments that are project focused. This module will be delivered through a combination of lectures, group discussions, case studies, and hands-on practical exercises etc. Lectures and group discussions are conducted using the Problem Based Learning paradigm focusing on student-centered learning, where they develop critical thinking and problem-solving skills to address open-ended problems that lacks a straightforward solution This module is taught with an emphasis on student learning through practice and by projects, facilitated by a module leader, and where appropriate, industrial mentors. Students can identify particular areas of learning needs or interests according to the available project(s). They will conduct independent research to gather information and resources to better define the problem. Progress towards the learning outcomes will be facilitated and monitored, where students are guided to progressively address the given problem through tasks. Independent learning will form an important aspect of the educational activities in this module. Case studies will be used to provide students with real-world examples of how the concepts and techniques covered in this module can be applied. Lab/Practical sessions will allow students to apply the techniques and tools acquired to solve real-world industry focused problems. Assessed primarily by a project, students shall gain practical experience in undertaking independent study and research on industry focused real-world problems. This module will leverage generative AI to enhance course content and teaching methods in line with the learning outcomes. By integrating advanced AI technologies, we aim to improve the efficiency of teaching and interaction, while fostering greater student autonomy and flexibility in learning.