Experience Sampling as Information Transmission: Perspective and Implications
Journal
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wear- able Computers
Type
journal article
Date Issued
2018
Author(s)
Abstract
We propose Information Transmission as a novel perspec- tive on the mobile Experience Sampling Method (ESM) to frame a research agenda with a sharpened focus on in- creasing 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 exam- ples from our previous and ongoing work on ESM tools.
Language
English
Keywords
Experience Sampling
Framework
Data Collection
Mobile Device
Sensing
Machine Learning
Refereed
Yes
Publisher
ACM
Publisher place
Singapore
Start page
606
End page
611
Official URL
Subject(s)
Division(s)
Eprints ID
264553
File(s)![Thumbnail Image]()
Name
3267305.3267543.pdf
Size
1.01 MB
Format
Adobe PDF
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