Catalogue of Modules, University of Nottingham

G54MRT Mixed Reality Technologies
(Last Updated:29 September 2016)

Year  16/17

Total Credits: 20

Level: Level 4

Target Students:  MSc and Part III undergraduate students in the School of Computer Science. Students enrolled for higher research degrees (MPhil, PhD). Available to Part II undergraduate Computer Science students, subject to Part I performance, and to students from other schools with the module convenor's agreement.

This module is part of the Human-Computer Interaction theme in the School of Computer Science. There is a limited number of places on this module. Students are reminded that enrolments which are not agreed by the Offering School in advance may be cancelled without notice.  Available to JYA/Erasmus students.

Taught Semesters:

SemesterAssessment
Spring Assessed by end of Spring Semester 

Prerequisites: G54PRG for MSc students

Corequisites:  None.

Summary of Content:  Focuses on the possibilities and challenges of interaction beyond the desktop. Exploring the 'mixed reality continuum' - a spectrum of emerging computing applications that runs from virtual reality (in which a user is immersed into a computer-generated virtual world) at one extreme, to ubiquitous computing (in which digital materials appear embedded into the everyday physical world - often referred to as the 'Internet of Things') at the other. In the middle of this continuum lie augmented reality and locative media in which the digital appears to be overlaid upon the physical world in different ways.

You will gain knowledge and hands-on experience of design and development with key technologies along this continuum, including working with both ubiquitous computing based sensor systems and locative media. You will learn about the Human-Computer Interaction challenges that need to be considered when creating mixed reality applications along with strategies for addressing them, so as to create compelling and reliable user experiences.

Method and Frequency of Class:

ActivityNumber Of WeeksNumber of sessionsDuration of a session
Lecture 10 weeks3 per week1 hour
Practical 10 weeks2 per week2 hours

Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

Method of Assessment: 

Assessment TypeWeightRequirements
Coursework 1 50 Design, prototype and reflect on an example of locative-media experience. Document this in a 2000-word individual report. 
Coursework 2 50 Design, prototype and reflect on an example of ubiquitous computing experience. Document this in a 2000 word individual report. 

Convenor: 
Professor S Benford
Dr J Marshall
Dr S Reeves

Education Aims:  

  • To develop an understanding of the nature and scope of the field of mixed reality and its relevance to a variety of market sectors for computing.
  • To develop core design, data analysis and programming skills required for the design and prototyping of engaging and effective mixed reality applications including ubiquitous computing, locative media, augmented reality and virtual reality.
  • To appreciate the real-world interactional, social and ethical impacts upon user experience in the design and application of ubiquitous computing systems.
  • Learning Outcomes:  Knowledge and Understanding
    Knowledge and understanding of the definition and techniques of mixed reality.

    Intellectual Skills
  • The ability to analyse which forms of mixed reality are appropriate to a given application and setting.
  • To design mixed reality experiences, to choose and integrate appropriate technologies, and to identify and resolve key challenges concerning human-computer interaction.
  • Professional Skills
  • To design and implement prototype mixed reality systems, taking into account user, task and system requirements and constraints.
  • To recognise the ethical issues involved in the deployment of such systems.
  • To understand choice of sensors and analysis of sensor data for ubiquitous interaction.
  • Transferable Skills
  • To think independently while giving due weight to the arguments of others.
  • To understand complex ideas and relate them to specific problems or questions.
  • To communicate effectively in writing.
  • Offering School:  Computer Science


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