F20AD - Advanced Human Computer Interaction

Course leader(s):

Lynne Baillie (Edinburgh, January)

Marta Romeo (Edinburgh, January)

Abrar Ullah (Dubai, January)

Aims

The course aims to give students the opportunity to develop:

An extensive, detailed and critical knowledge of requirements gathering, design and evaluation techniques in Human Computer Interaction (HCI).
A knowledge of current research and emerging issues in the field of HCI.
A range of specialised skills, and research methods involved in developing and designing with users.

Syllabus

1. HCI Theory and reseach (1.1 Current and emerging topics in HCI including: haptic interaction, multimodal interaction, pervasive and ubiquitous computing, Collaborative and Co-operative Working CSCW, pervasive health, HCI design lifecycle, user interface design, accessibility, usable security and privacy by design, Human-Robot Interaction HRI, prototyping methods, a wide range of qualitative and quantitative data gathering and analysis techniques, and a range of research case studies covering cutting edge issues in the field.)

2. Collaborative working to create HCI prototypes

3. Researching and selecting approproate HCI design methodologies

4. Researching and selecting appropriate HCI Evaluation methodologies (4.1 It is important that we thoroughly evaluate our prototypes as developers to ensure that they are efficient, effective and satisfying to use. This means that the student must research the most effective evaluation methods for their type of prototype and context of use. They must then apply the selected methods and evaluate the results.)

Learning outcomes

By the end of the course, students should be able to do the following:

review, critically analyse, evaluate, and synthesise of previous research projects in the field of HCI.

identify and propose innovative design solutions in response to analysis of users’ requirements.

make informed judgements about appropriate methodologies for developing and evaluating technologies suitable for user demographics and background experience.

use discipline appropriate software for data analysis, prototyping and learning.

present, analyse and interpret numerical and graphical data gathered as part of evaluation studies.

communicate effectively to knowledgeable audiences by preparing formal and informal presentations and written reports.

take responsibility for their own and other’s work by contributing effectively and conscientiously to group work, actively maintaining good working relationships with group members.

deal with complex professional and ethical issues including working with human subjects and designing for them.