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Research Methods for Interactive Technologies - COM00043H

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  • Department: Computer Science
  • Module co-ordinator: Dr. Jen Beeston
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2022-23
    • See module specification for other years: 2021-22

Module summary

The aim of the module is to provide the students with a grounding in the principles and practice of the various research methods commonly used in human-computer interaction research both in the academic and commercial context.

 

Related modules

Pre-requisite modules

Co-requisite modules

  • None

Prohibited combinations

  • None

Module will run

Occurrence Teaching period
A Autumn Term 2022-23

Module aims

The aim of the module is to provide the students with a grounding in the principles and practice of the various research methods commonly used in human-computer interaction research both in the academic and commercial context. Qualitative methods include content analysis, thematic analysis, grounded theory and observational studies. Quantitative methods include experimental design, the basics of statistical analysis and the use of questionnaires as instruments. Research governance includes the ethical conduct of studies and the need for good data governance.

Module learning outcomes

  • Select and critically justify a suitable research method to answer a particular question in the field of human-computer interaction (HCI).

  • Prepare a short literature review to motivate a research topic

  • Critique the method of a study in HCI against the standards of rigour and validity of the chosen methodology

  • Recognise and address the problems of bias that arise with different methods

  • Analyse qualitative and quantitative data appropriate to different methods and experiments

  • Describe the important aspects of research governance including ethical conduct and data governance

  • Critically discuss research findings based on the methods used to produce those findings. Recognise weaknesses in arguments and the use of data to provide evidence for arguments

Assessment

Task Length % of module mark
Essay/coursework
RESM		 N/A 100

Special assessment rules

None

Reassessment

Task Length % of module mark
Essay/coursework
RESM		 N/A 100

Module feedback

Feedback is provided through work in practical sessions, and after the final assessment as per normal University guidelines.

Indicative reading

Howell, D.

Fundamental statistics for the behavioural sciences, 8th edn

Wadsworth

2007

Harris, P.

Designing and Reporting Experiments in Psychology, 3rd edn

OUP

2008

Cairns, P., Cox, A. (eds)

Research Methods in Human Computer Interaction

Cambridge University Press

2008

Charmaz, K.

Constructing Grounded Theory, 2nd edn

Sage

2013

Robson, C.

Real World Research, 3rd edn

John Wiley & Sons

2011


The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.