Aims: 

The aims of the module are to: (1) provide students with an understanding of the underlying theories and methods of measuring human perception and its uses within computing; and (2) provide students with the knowledge of how to use perceptual principles in the design of interfaces/environments.

The module will be of interest to students studying for taught postgraduate degrees in Computer Science, Computer Graphics, Vision, and Imaging, Robotics, and Computation and Machine Learning, and students taking Human-Computer Interaction degrees. 

Learning outcomes: 

On successful completion of the module, a student will be able to:

Explain how humans perceive and interpret sensory information.
	Understand the relevance of perception in computing (e.g., robotics, virtual environments, machine learning, sensor design, interfaces).
	Appreciate the importance of perception in the design of interfaces/environments.
	Apply perceptual techniques to both the design and evaluation of interfaces/environments.
Contents:

The “Perception and Interfaces” module covers how we interact with our immediate environment and interfaces through our senses. The module provides students with an understanding of the theoretical principles underlying human perception that can be used in the design and implementation of interfaces and environments. This involves understanding how core perceptual principles are used in the design of displays, sensors and virtual environments. The module also introduces students to software and experimental techniques to monitor and measure how effectively we interact with such interfaces. Not all topics will be covered to the same depth.

Requisites:

To be eligible to select this module, a student must be registered on a programme and year of study for which it is formally available.

There may be an element of maths and/ or coding involved in the understanding of the concepts, practical work or assessments. Coding may use the following languages: Python, MatLab, C#.