research-article

What Can Self-Reports and Acoustic Data Analyses on Emotions Tell Us?

Authors:

Samaneh Soleimani,

Effie Lai-Chong LawAuthors Info & Claims

DIS '17: Proceedings of the 2017 Conference on Designing Interactive Systems

Pages 489 - 501

https://doi.org/10.1145/3064663.3064770

Published: 10 June 2017 Publication History

Abstract

There are two approaches to measure people's experiences: memory-based and moment-based. Whereas the memory-based approaches are susceptible to the peak-end effect, the moment-based approaches appear to better reflect the experience of the present. In this paper, we propose that emotional assessment of think aloud verbalisations is a moment-based methodology for measuring UX. We conducted an empirical study with 46 participants in the domain of online shopping to evaluate their emotional experiences. Acoustic analysis of verbal data was used as the moment-based approach and self-report questionnaires as the retrospective or memory-based approach. Results of the study confirmed the previous finding that retrospective assessments did not reflect the actual experience. The results also suggested that retrospective evaluations of emotions were significantly correlated with the most frequently elicited emotion (i.e. modal emotion) during the interaction. In conclusion these results support the use of acoustic data analysis as an alternative approach to measuring UX.

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Index Terms

What Can Self-Reports and Acoustic Data Analyses on Emotions Tell Us?
1. Human-centered computing

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cover image ACM Conferences

DIS '17: Proceedings of the 2017 Conference on Designing Interactive Systems

June 2017

1444 pages

ISBN:9781450349222

DOI:10.1145/3064663

General Chair:
Oli Mival
Edinburgh Napier University, UK
,
Program Chairs:
Michael Smyth
Edinburgh Napier University, UK
,
Peter Dalsgaard
Aarhus University, Denmark

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DIS '17: Designing Interactive Systems Conference 2017

June 10 - 14, 2017

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DIS '17 Paper Acceptance Rate 107 of 487 submissions, 22%;

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Cited By

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https://dl.acm.org/doi/10.1145/3677056
Law EAbascal J(2022)Post-Pandemic HCI—Living Digitally: Well-Being-Driven Digital TechnologiesInteracting with Computers10.1093/iwc/iwac02133:4(331-334)Online publication date: 11-Jul-2022
https://doi.org/10.1093/iwc/iwac021
Nakamura WAhmed IRedmiles DOliveira EFernandes Dde Oliveira EConte T(2021)Are UX Evaluation Methods Providing the Same Big Picture?Sensors10.3390/s2110348021:10(3480)Online publication date: 17-May-2021
https://doi.org/10.3390/s21103480
de Souza Veriscimo EBernardes Júnior JDigiampietri L(2021)Facial Emotion Recognition in UX Evaluation: A Systematic ReviewHuman-Computer Interaction. Theory, Methods and Tools10.1007/978-3-030-78462-1_40(521-534)Online publication date: 24-Jul-2021
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Chromik MLachner FButz ALamas DSarapuu HŠmorgun IBerget G(2020)ML for UX? - An Inventory and Predictions on the Use of Machine Learning Techniques for UX ResearchProceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society10.1145/3419249.3420163(1-11)Online publication date: 25-Oct-2020
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Law ESoleimani SWatkins DBarwick J(2020)Automatic voice emotion recognition of child-parent conversations in natural settingsBehaviour & Information Technology10.1080/0144929X.2020.174168440:11(1072-1089)Online publication date: 17-Mar-2020
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Nakamura Wde Oliveira EConte TBrewster SFitzpatrick GCox AKostakos V(2019)Negative Emotions, Positive ExperienceExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3313000(1-6)Online publication date: 2-May-2019
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Heintz MLaw EBannister NPuteh M(2019)A Methodological Approach for Cross-Cultural Comparisons of Multimodal Emotional Expressions in Online Collaborative Learning EnvironmentsTransforming Learning with Meaningful Technologies10.1007/978-3-030-29736-7_58(645-649)Online publication date: 16-Sep-2019
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Heintz SLaw E(2018)Digital Educational GamesACM Transactions on Computer-Human Interaction10.1145/317788125:2(1-47)Online publication date: 11-Apr-2018
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Pettersson ILachner FFrison ARiener AButz AMandryk RHancock MPerry MCox A(2018)A Bermuda Triangle?Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174035(1-16)Online publication date: 21-Apr-2018
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