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Experience Sampling as Information Transmission: Perspective and Implications

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Ken PfeufferAuthors Info & Claims

UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

Pages 606 - 611

https://doi.org/10.1145/3267305.3267543

Published: 08 October 2018 Publication History

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Abstract

We propose Information Transmission as a novel perspective on the mobile Experience Sampling Method (ESM) to frame a research agenda with a sharpened focus on increasing data quality in ESM studies. In this view, good experience sampling transmits valid, relevant, and "noise-free" information from users' in-situ experiences to remote researchers. We identify key transmission channels, which motivate combinations of objective and subjective data (i.e. device sensors and machine learning, plus asking users). We discuss opportunities and challenges, and give examples from our previous and ongoing work on ESM tools.

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Cited By

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Yan DBourgeois JKortuem G(2024)Say You, Say Me: Investigating the Personal insights Generated from One's Own data and Other's dataProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685345(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685345
Stachl CBoyd RHorstmann KKhambatta PMatz SHarari G(2021)Computational personality assessmentPersonality Science10.5964/ps.61152Online publication date: 15-Jul-2021
https://doi.org/10.5964/ps.6115
Chang YLee HChang YShen C(2021)Inviting Participants’ Peers in a Mobile Assessment Study: An Empirical InvestigationProceedings of the 23rd International Conference on Mobile Human-Computer Interaction10.1145/3447526.3472021(1-13)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3447526.3472021
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Index Terms

Experience Sampling as Information Transmission: Perspective and Implications
1. Human-centered computing

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Published In

UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

October 2018

1881 pages

ISBN:9781450359665

DOI:10.1145/3267305

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 the author(s) 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].

In-Cooperation

SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 October 2018

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Research-article
Research
Refereed limited

Funding Sources

Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst
Deutsche Forschungsgemeinschaft

Conference

UbiComp '18

Sponsor:

SIGMOBILE
University of Florida
SIGCHI

UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing

October 8 - 12, 2018

Singapore, Singapore

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

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Yan DBourgeois JKortuem G(2024)Say You, Say Me: Investigating the Personal insights Generated from One's Own data and Other's dataProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685345(1-14)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685345
Stachl CBoyd RHorstmann KKhambatta PMatz SHarari G(2021)Computational personality assessmentPersonality Science10.5964/ps.61152Online publication date: 15-Jul-2021
https://doi.org/10.5964/ps.6115
Chang YLee HChang YShen C(2021)Inviting Participants’ Peers in a Mobile Assessment Study: An Empirical InvestigationProceedings of the 23rd International Conference on Mobile Human-Computer Interaction10.1145/3447526.3472021(1-13)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3447526.3472021
Bemmann FBuschek D(2020)LanguageLogger: A Mobile Keyboard Application for Studying Language Use in Everyday Text Communication in the WildProceedings of the ACM on Human-Computer Interaction10.1145/33978724:EICS(1-24)Online publication date: 18-Jun-2020
https://dl.acm.org/doi/10.1145/3397872
Wan ZBao LGao DToch EXia XMendel TLo D(2020)AppMoDProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33698193:4(1-22)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.1145/3369819
Chang YChang YShen C(2019)She is in a Bad Mood NowProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3338286.3344406(1-6)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1145/3338286.3344406
van Berkel NHosio SGoncalves JWac KKostakos VCox A(2018)MHC '18Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3274134(590-593)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3274134

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Understanding Emotion Changes in Mobile Experience Sampling

The Experience Sampling Method on Mobile Devices

A context-aware experience sampling tool