Catalogue of Modules, University of Nottingham

MM4HIS Human Factors in Interactive Systems
(Last Updated:03 May 2017)

Year  17/18

Total Credits: 30

Level: Level 4

Target Students:  Students registered on MSc in Applied Ergonomics by Distance Learning

Taught Semesters:

SemesterAssessment
Full Year Assessed by end of Designated Period 

Prerequisites: None.

Corequisites:  None.

Summary of Content:  This module covers the following topics: introduction to HCI; computers in education; user interface design guidelines; evaluation of interactive systems; use needs methods and models; human factors of geographical information systems; human factors of visualisation technologies; joint cognitive systems; computers and collaboration; HCI case studies; human information processing including perception and cognition; memory and attention; mental models; human workload; situation awareness; automation; designs for the WWW & accessibility; human error; displays and controls; decision making and decision support; situated cognition; product design and development. Module Web Links:
   
  • Moodle
  • Method and Frequency of Class:
    Specific Activities are not listed
    Further Activity Details:
    This module is delivered by distance learning

    Method of Assessment: 

    Assessment TypeWeightRequirements
    Coursework 1 25 2000 word Display Evaluation 
    Laboratory 25 2000 word report 
    Coursework 2 25 2000 word essay 
    Coursework 3 25 2000 word essay 

    Convenor: 
    Dr S Cobb
    Dr M Brown

    Education Aims:  This module aims to provide students with the knowledge of the role of human factors/ergonomics in the design, evaluation and use of interactive systems. It introduces and develops relevant theories of human-computer interaction; user interface design and evaluation; the use of interactive systems and a broad range of cognitive ergonomics topics.

    Learning Outcomes:  By the end of the module students will be able to:

    a. Knowledge and Understanding

    The role of human factors/ergonomics applied to the design of products, workplaces, jobs and systems

    The scientific principles that underpin human factors, including the relevant psychological, physiological, biomechanical, engineering, environmental, organisational sociological and anthropological foundations

    The scientific literature from disciplines relevant to human factors

    Techniques of critical analysis, testing and evaluation

    b. Intellectual Skills

    Analyse and design products, workplaces, jobs and socio-technical systems to suit the needs, capabilities and limitations of people

    Select and apply analytical and statistical methods for evaluating product/workplace/job/system designs and interventions

    Assess and evaluate alternative designs

    Critically appreciate and synthesise information from a broad range of sources to aid decision making

    c. Professional Practical Skills

    Use a range of analytical, evaluation and statistical methods which underpin human factors/ergonomics

    Design products, workplaces, jobs and systems taking into account user and task requirements and constraints

    Evaluate products, workplaces, jobs and systems in relation to performance, quality, safety, satisfaction and well-being

    Apply ergonomics standards in a range of work contexts

    Research and review scientific and industrial literature

    Prepare technical reports

    Prepare and deliver technical presentations

    d. Transferable (Key) Skills

    Obtain information from scientific and industrial literature and from software systems including the internet

    Critically analyse and synthesise information from scientific, industrial and internet-based literature

    Prepare individual written reports and oral presentations

    Undertake self-directed study, including information acquisition and analysis to enable continued learning during a professional career

    Exhibit innovation and creativity in problem solving

    Offering School:  Department of Mechanical, Materials and Manufacturing Engineering


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