Dr Stephen Lindsay
Lecturer
Computer Science
Telephone: (01792) 606958
Email: JavaScript is required to view this email address.
Room: Office - 119
First Floor
Computational Foundry
Bay Campus

Publications

  1. Zeb, K., Lindsay, S., Shahid, S., Jones, M. Verbal Design: A Participatory Design Approach with Illiterate Patient User Groups DIS '18 Companion Proceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems 271 275
  2. LIE, M., Lindsay, S., BRITTAIN, K. Technology and trust: older people's perspectives of a home monitoring system Ageing and Society 36 07 1501 1525
  3. Vines, J., Lindsay, S., Pritchard, G., Lie, M., Greathead, D., Olivier, P., Brittain, K. Making family care work UbiComp 607
  4. Vines, J., Blythe, M., Lindsay, S., Dunphy, P., Monk, A., Olivier, P. Questionable concepts CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 1169
  5. Lindsay, S., Brittain, K., Jackson, D., Ladha, C., Ladha, K., Olivier, P. Empathy, participatory design and people with dementia CHI 2012: 30th ACM Conference on Human Factors in Computing Systems 521 530

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Teaching

  • CS-130 Professional Issues 1: Computers and Society

    Students will be introduced to the main professional issues associated with software engineering and computer science research. Students will also examine the main impacts of computing on society and social issues on the practice of computing, including legal and ethical concerns such as copyright and the data protection act. Issues of network security will be discussed. The course also includes communication skills, including the writing of a technical report and giving a formal presentation.

  • CS-M09 Future Interaction Technologies MRes Project

    The FIT MRes research project provides students with the opportunity of exploring a particular topic in interaction technologies. The project will typically involve the development of an interactive system: specification, design, implementatation, testing, verification and evaluation. The project will enhance the students' competence in design, analysis, reasoning, experiments and evaluation. It will give students an intellectual challenge to their abilities to learn new subjects and to develop their abilities in literature searching, report writing, verbal presentation, project planning and time management.

  • CSC349 User Experience

    This module presents an overview of concepts, design for and evaluation of User Experience (UX). Students will come to understand what UX is, why the concept has become so prominent, what differentiates UX from aesthetic design, and what UX practitioners do in their work. The module will examine specific design approaches, and the student will gain some practical skills applying these techniques. Techniques that will be covered include brainstorming, personas and participatory design. The module will also cover the research methods that are employed to understand specific experiences with technology and impart the beginnings of the skills needed to employ these methods and evaluate the results. This module develops practical skills through the coursework and theoretical understanding is demonstrated in the exam. The module builds on skills developed in the second year HCI module but this is not a pre-requisite for it.

  • CSC410 MSci Computer Science Project Research Methods

    This module will introduce students to some fundamental research methodologies and good practice in research. They will undertake background research including a literature review and specify the aims of their MSci final year project, and produce a plan for their proposed research.

  • CSCM10 Computer Science Project Research Methods

    This module will introduce students to some fundamental research methodologies and good practice in research. They will undertake background research including a literature review and specify the aims of their MSc project.

  • CSP420 MSci Computer Science Project

    This module is the research based Level 7 project for MSci Computer Science students. It consists of a substantial written dissertation which usually involves both a research component and the implementation of a tool/software system.

Supervision

  • Designing a discrete speaker recognition app for conversational support on smartwatches (current)

    Student name:
    MRes
  • 'Applications of Machine Learning to EEG Audification and Sonification' (current)

    Student name:
    PhD
    Other supervisor: Prof Xianghua Xie
  • Designing Technology for less literate people with Diabetes in Pakistan (current)

    Student name:
    PhD
    Other supervisor: Prof Matt Jones
  • Rethinking sustained healthy lifestyle change through design and evaluation of socio-technical wearable systems (current)

    Student name:
    PhD
    Other supervisor: Prof Gareth Stratton
    Other supervisor: Dr Matthew Roach
  • Untitled (current)

    Student name:
    PhD
    Other supervisor: Dr Jeremy Tree