Understanding People: A Course on Qualitative and Quantitative HCI Research Methods

Duncan P. Brumby; Ann  Blandford; Anna L. Cox; Sandy J. J. Gould; Paul Marshall

doi:10.1145/3027063.3027103

Understanding People: A Course on Qualitative and Quantitative HCI Research Methods

Duncan P. Brumby, Ann Blandford, Anna L. Cox, Sandy J. J. Gould, Paul Marshall

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

281 Downloads (Pure)

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.

Original language	English
Title of host publication	CHI'17 Extended Abstracts
Subtitle of host publication	Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
Pages	1170-1173
Number of pages	4
ISBN (Print)	978-1450346566
DOIs	https://doi.org/10.1145/3027063.3027103
Publication status	Published - 6 May 2017
Event	2017 CHI Conference on Human Factors in Computing Systems - Denver, United States Duration: 6 May 2017 → 11 May 2017

Conference

Conference	2017 CHI Conference on Human Factors in Computing Systems
Country/Territory	United States
City	Denver
Period	6/05/17 → 11/05/17

Keywords

HCI research methods
quantitative
qualitative
empirical research

Access to Document

10.1145/3027063.3027103Licence: None: All rights reserved

UnderstandingPeople
© Brumby et al. | ACM} {2017}. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI'17 Extended Abstracts, http://dx.doi.org/10.1145/3027063.3027103
Accepted author manuscript, 119 KBLicence: Other (please specify with Rights Statement)

Cite this

Brumby, D. P., Blandford, A., Cox, A. L., Gould, S. J. J., & Marshall, P. (2017). Understanding People: A Course on Qualitative and Quantitative HCI Research Methods. In CHI'17 Extended Abstracts: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 1170-1173). Association for Computing Machinery . https://doi.org/10.1145/3027063.3027103

@inproceedings{ec36faa4176b405888f4348b69c5cdd6,

title = "Understanding People: A Course on Qualitative and Quantitative HCI Research Methods",

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 quantitativeand qualitative research traditions used to understand people and interactional contexts. We shall discuss these major research traditions along with theircontemporary framings (e.g., in-the-wild research and Interaction Science). By the end of the course attendees will have a detailed understanding of how toselect and apply methods to address a range of problems that are of concern to contemporary HCI researchers.",

keywords = "HCI research methods, quantitative, qualitative, empirical research",

author = "Brumby, {Duncan P.} and Ann Blandford and Cox, {Anna L.} and Gould, {Sandy J. J.} and Paul Marshall",

year = "2017",

month = may,

day = "6",

doi = "10.1145/3027063.3027103",

language = "English",

isbn = "978-1450346566",

pages = "1170--1173",

booktitle = "CHI'17 Extended Abstracts",

publisher = "Association for Computing Machinery ",

note = "2017 CHI Conference on Human Factors in Computing Systems ; Conference date: 06-05-2017 Through 11-05-2017",

}

Brumby, DP, Blandford, A, Cox, AL, Gould, SJJ & Marshall, P 2017, Understanding People: A Course on Qualitative and Quantitative HCI Research Methods. in CHI'17 Extended Abstracts: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. Association for Computing Machinery , pp. 1170-1173, 2017 CHI Conference on Human Factors in Computing Systems, Denver, United States, 6/05/17. https://doi.org/10.1145/3027063.3027103

Understanding People: A Course on Qualitative and Quantitative HCI Research Methods. / Brumby, Duncan P.; Blandford, Ann ; Cox, Anna L. et al.
CHI'17 Extended Abstracts: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. Association for Computing Machinery , 2017. p. 1170-1173.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T2 - 2017 CHI Conference on Human Factors in Computing Systems

AU - Brumby, Duncan P.

AU - Blandford, Ann

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AU - Gould, Sandy J. J.

AU - Marshall, Paul

PY - 2017/5/6

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N2 - This course will provide an introduction to methods used in Human-Computer Interaction (HCI) research. An equal focus will be given to both the quantitativeand qualitative research traditions used to understand people and interactional contexts. We shall discuss these major research traditions along with theircontemporary framings (e.g., in-the-wild research and Interaction Science). By the end of the course attendees will have a detailed understanding of how toselect and apply methods to address a range of problems that are of concern to contemporary HCI researchers.

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

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KW - qualitative

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DO - 10.1145/3027063.3027103

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BT - CHI'17 Extended Abstracts

PB - Association for Computing Machinery

Y2 - 6 May 2017 through 11 May 2017

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Understanding People: A Course on Qualitative and Quantitative HCI Research Methods

Abstract

Conference

Keywords

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