Article

The FaceReader: measuring instant fun of use

Authors:

Bieke Zaman,

Tara Shrimpton-SmithAuthors Info & Claims

NordiCHI '06: Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles

Pages 457 - 460

https://doi.org/10.1145/1182475.1182536

Published: 14 October 2006 Publication History

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Abstract

Recently, more and more attention has been paid to emotions in the domain of Human-Computer Interaction. When evaluating a product, one can no longer ignore the emotions a product induces. This paper examines the value of a new instrument to measure emotions: the FaceReader. We will assess the extent to which the FaceReader is useful when conducting usability evaluations. To do this, we will compare the data gained from the FaceReader with two other sources: user questionnaires and researcher's loggings. Preliminary analysis shows that the FaceReader is an effective tool to measure instant emotions and fun of use. However, a combination of the FaceReader with another observation method (e.g. researcher's loggings) is necessary. As regards the user questionnaire, our results indicate that it is rather a reflection of the content of the application or the outcome of a task, than a correct self-reflection of how the user felt when accomplishing the task.

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Cited By

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Lin YMitas OShen YBastiaansen MStrijbosch W(2024)Objective Measurement of Experiences in Tourism and Hospitality: A Systematic Review of Methodological Approaches and Best PracticesJournal of Hospitality & Tourism Research10.1177/1096348023122608648:8(1382-1403)Online publication date: 8-Feb-2024
https://doi.org/10.1177/10963480231226086
Alaniz TBiazzo SAlaniz TBiazzo S(2024)The Challenges of Generating Emotion-Focused Product IdeaEmotion-Driven Innovation10.1007/978-3-031-49877-0_1(1-17)Online publication date: 16-Feb-2024
https://doi.org/10.1007/978-3-031-49877-0_1
Tsui AKuzminykh A(2023)Detect and Interpret: Towards Operationalization of Automated User Experience EvaluationDesign, User Experience, and Usability10.1007/978-3-031-35702-2_6(82-100)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35702-2_6
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Index Terms

The FaceReader: measuring instant fun of use
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

NordiCHI '06: Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles

October 2006

517 pages

ISBN:1595933255

DOI:10.1145/1182475

Editors:
Anders Mørch
University of Oslo, Norway
,
Konrad Morgan
University of Bergen, Norway
,
Tone Bratteteig
University of Oslo, Norway
,
Gautam Ghosh
Userminded, Norway
,
Dag Svanaes
Norwegian University of Science and Technology, Trondheim, Norway

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 14 October 2006

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NORDICHI06

NORDICHI06: The 4th Nordic Conference on Human-Computer Interaction

October 14 - 18, 2006

Oslo, Norway

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Overall Acceptance Rate 379 of 1,572 submissions, 24%

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https://doi.org/10.1177/10963480231226086
Alaniz TBiazzo SAlaniz TBiazzo S(2024)The Challenges of Generating Emotion-Focused Product IdeaEmotion-Driven Innovation10.1007/978-3-031-49877-0_1(1-17)Online publication date: 16-Feb-2024
https://doi.org/10.1007/978-3-031-49877-0_1
Tsui AKuzminykh A(2023)Detect and Interpret: Towards Operationalization of Automated User Experience EvaluationDesign, User Experience, and Usability10.1007/978-3-031-35702-2_6(82-100)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35702-2_6
Burgess RCulpin IBould HPearson RNabney I(2023)A Quantitative Comparison of Manual vs. Automated Facial Coding Using Real Life Observations of FathersPervasive Computing Technologies for Healthcare10.1007/978-3-031-34586-9_25(379-396)Online publication date: 11-Jun-2023
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A comparison of students' emotional self-reports with automated facial emotion recognition in a reading situation

Measuring instant emotions during a self-assessment test: the use of FaceReader

Facial expressions and subjective assessments of emotions

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