Total Credits: 20
Level: Level 4
Target Students: MSc Human Factors and Manufacturing students in School of Mechanical, Materials and Manufacturing Engineering. MSc Human-Computer Interaction students. NOTE: Erasmus/Socrates/Visiting students MUST take any relevant examinations for this module in Nottingham at the appropriate time with all other students in the cohort. Available to JYA/Erasmus students.
|Autumn||Assessed by end of Autumn Semester|
Summary of Content: The module aims to give a broad review of the measurement techniques which can be used in ergonomic analysis and evaluation of systems or products, together with an understanding of the need for experimental design and control in order to obtain valid and meaningful results. It also provides a theoretical basis for techniques which may be practised during laboratory work and exercises in other human factors modules.
The syllabus covers:
Introduction to experimental design; experimental controls; selection and recruitment of subjects; user trials; ethical considerations
Observational methods: direct and indirect observation; recording techniques; measurement of behaviour; activity sampling
Subjective measurements: ranking methods, rating scales, application in interviews and questionnaires
Task analysis: task description; tabular and hierarchical task analysis; applications
Introduction to SPSS
Statistical analysis: Types of data; Normal distribution; Non-parametric tests; Parametric 2 samples tests, Correlation and regression, Chi Square, ANOVA
Module Web Links:
Method and Frequency of Class:
|Activity||Number Of Weeks||Number of sessions||Duration of a session|
|Lecture||11 weeks||1 per week||2 hours|
|Lecture||11 weeks||1 per week||1 hour|
|Computing||11 weeks||1 per week||1 hour|
|Workshop||10 weeks||1 per week||1 hour|
Method of Assessment:
|Exam 1||50||One 2 hour exam|
|Coursework 1||25||Developing and pilot testing a short questionnaire, supported by a 2-page report|
|Coursework 2||25||Experimental Study report - 2,500 words|
Dr B Ryan
Education Aims: This module aims to give a broad review of the methods and statistical techniques that can be used in the Human Factors assessment of products, workplaces and systems. It also provides a theoretical basis for techniques which may then be practiced in other Human Factors modules and project work.
Learning Outcomes: On successful completion of this module students will be able to:
Offering School: Department of Mechanical, Materials and Manufacturing Engineering
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