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Interaction Science (PSYC0101)

Key information

Faculty
Faculty of Brain Sciences
Teaching department
Division of Psychology and Language Sciences
Credit value
30
Restrictions
This module is resctricted to students on the MSc/PGDip/PGCert in Human-computer Interaction
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Module aims and objectives:
Interaction Science is concerned with understanding how people interact with computing systems. The module aims to: (1) lay the theoretical foundation for understanding human behaviour relevant to HCI, and (2) develop the conceptual and practical skills necessary to undertake HCI research.

Students will develop an understanding of human behaviour relevant to HCI. Major topics will include: perception and motor behaviour, cognitive elements of interactive behaviour (learning, expertise, errors), and the role of context and social factors on how people interact with computing systems.

Students will develop the skills necessary to gather, analyse, and interpret qualitative and quantitative data. Major topics will include: experimental methods and statistical data analysis techniques, observational and interview methods and qualitative data analysis techniques.

Module learning outcomes:

  • Knowledge and understanding of: Theoretical perspectives on understanding human behaviour and how people interact with computing systems.
  • Intellectual (thinking skills) – to be able to: Apply theories of Interaction Science to practical case studies; Present well-founded arguments relating theory to practice; Reasoning from data; Critical argumentation skills.
  • Practical skills: Design and conduct research that develops an understanding of how people interact with a computer system, product or service; Gather and analyse qualitative and quantitative data to develop an understanding of how people interacting with a computer system.
  • Transferable skills: Argumentation and communication of ideas; Synthesis of information from multiple sources; Data handling and analysis skills; Written and graphical presentation skills.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
55
Module leader
Dr Duncan Brumby
Who to contact for more information
uclic-stla@cs.ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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