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Understanding people: A course on qualitative and quantitative HCI research methods

Brumby, DP; Blandford, A; Cox, AL; Gould, SJJ; Marshall, P; (2017) Understanding people: A course on qualitative and quantitative HCI research methods. In: Lampe, Cliff and Schraefel, M.C. and Hourcade, Juan Pablo and Appert, Caroline and Wigdor, Daniel, (eds.) Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '17. (pp. pp. 1170-1173). ACM: Denver, Colorado, USA. Green open access

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Abstract

This course will provide an introduction to methods used in Human-Computer Interaction (HCI) research. An equal focus will be given to both the quantitative and qualitative research traditions used to understand people and interactional contexts. We shall discuss these major research traditions along with their contemporary framings (e.g., in-the-wild research and Interaction Science). By the end of the course attendees will have a detailed understanding of how to select and apply methods to address a range of problems that are of concern to contemporary HCI researchers.

Type: Proceedings paper
Title: Understanding people: A course on qualitative and quantitative HCI research methods
Event: 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '17
ISBN-13: 9781450346566
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3027063.3027103
Publisher version: https://doi.org/10.1145/3027063.3027103
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1559265
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