Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us?

Anders Bruun; Effie L-C Law; Matthias Heintz; Lana Alkly

doi:10.1145/2858036.2858511

Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us?

Anders Bruun, Effie L-C Law, Matthias Heintz, Lana Alkly

Department of Computer Science

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

23 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Number of pages	13
Publisher	Association for Computing Machinery
Publication date	2016
Pages	3975-3987
ISBN (Print)	978-1-4503-3362-7
DOIs	https://doi.org/10.1145/2858036.2858511
Publication status	Published - 2016
Event	34th international conference on Human factors in computing systems (CHI) - Santa Clara, United States Duration: 7 May 2016 → 12 May 2016 Conference number: 34th https://chi2016.acm.org/wp/

Conference

Conference	34th international conference on Human factors in computing systems (CHI)
Number	34th
Country/Territory	United States
City	Santa Clara
Period	07/05/2016 → 12/05/2016
Internet address	https://chi2016.acm.org/wp/

Access to Document

10.1145/2858036.2858511

AUB Link

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Measuring Real-Time User Experiences
Bruun, A. (PI) & Law, E.L.-C. (PI)
01/10/2015 → …
Project: Research

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Bruun, A., Law, E. L.-C., Heintz, M., & Alkly, L. (2016). Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us? In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 3975-3987). Association for Computing Machinery. https://doi.org/10.1145/2858036.2858511

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title = "Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us?",

author = "Anders Bruun and Law, {Effie L-C} and Matthias Heintz and Lana Alkly",

year = "2016",

doi = "10.1145/2858036.2858511",

language = "English",

isbn = "978-1-4503-3362-7",

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booktitle = "Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems",

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Bruun, A, Law, EL-C, Heintz, M & Alkly, L 2016, Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us? in Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, pp. 3975-3987, 34th international conference on Human factors in computing systems (CHI), Santa Clara, California, United States, 07/05/2016. https://doi.org/10.1145/2858036.2858511

Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us? / Bruun, Anders; Law, Effie L-C; Heintz, Matthias et al.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2016. p. 3975-3987.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Understanding the Relationship between Frustration and the Severity of Usability Problems

T2 - 34th international conference on Human factors in computing systems (CHI)

AU - Bruun, Anders

AU - Law, Effie L-C

AU - Heintz, Matthias

AU - Alkly, Lana

N1 - Conference code: 34th

PY - 2016

Y1 - 2016

U2 - 10.1145/2858036.2858511

DO - 10.1145/2858036.2858511

M3 - Article in proceeding

SN - 978-1-4503-3362-7

SP - 3975

EP - 3987

BT - Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

Y2 - 7 May 2016 through 12 May 2016

ER -

Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us?

Conference

Access to Document

AUB Link

Projects

Measuring Real-Time User Experiences

Cite this