The aim of this course is to introduce students to advanced topics in Human-Computer Interaction. In technical terms, it focuses on system design issues related to larger numbers of people and of data, including data visualisation, collaborative systems, and tracking and modelling populations. It also introduces other novel forms in interaction and evaluation, and legal and ethical issues around interactive and data-centred systems.

Teaching delivered in a flipped learning style in the first 5 weeks, with up to 3 hours delivered asynchronously and up to 2 hours timetabled on-campus discussion sessions per week. Thereafter, the Assessed Exercise is the focus with tutors/lecturers available online and/or in labs to assist students.

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Exam 70%

Coursework 30%: 10% individual component, 20% group component

It is the default expectation that all courses will offer opportunities for reassessment or deferred assessment. Where it is not possible to offer this in some assessment components, the grade achieved at the first attempt will be counted towards the final course grade, and any exceptions for this course are described below.

[No exceptions]

This course will bring depth and breadth to the material covered in Interactive Systems H. Human-Computer Interaction has moved away from a narrow focus on textual windows on a desktop, operated by one person using a keyboard and mouse. In terms of devices, phones and other mobile systems lead to ubiquitous use and also ubiquitous sharing of data about us. Such systems are often used to manipulate and explore complex data, including individual and social data. They are used at a scale that pervades and changes our society, and legal and ethical issues (e.g. data protection laws) are influencing what and how we design. The aim of Human-Computer Interaction will be to equip our students with skills to design for this broad use of technology. It will also to feed into Mobile Human-Computer Interaction H, which concentrates on mobile systems.

The aim of this course is to give the students an overview of advanced topics in Human-Computer Interaction, covering the key areas of interaction with complex, personal and social data, via data analytics (in particular, visual analytics), and collaborative systems. It will address the ways that we design and evaluate such systems. There will also be a significant piece of coursework where the students will have to design, implement and evaluate an interactive application. This will give them valuable experience in development and justification of such systems.

By the end of the course students will be able to:

1. Identify the key concepts and exemplars in the design of novel visualisation systems, collaborative systems, and multimodal systems, and in ethical system design;

2. Identify the main issues and key concepts in evaluating such systems, in terms of immediate functionality and utility as well as in terms of wider social, legal and ethical criteria;

3. Have experience designing such systems, by designing, developing and evaluating a significant piece of interactive software embodying key aspects of the course.