Experience Sampling as Information Transmission: Perspective and Implications

Buschek, Daniel; Völkel, Sarah; Stachl, Clemens; Mecke, Lukas; Prange, Sarah und Pfeuffer, Ken (2018): Experience Sampling as Information Transmission: Perspective and Implications. In: Proceedings of the 2018 Acm International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 Acm International Symposium on Wearable Computers (Ubicomp/Iswc'18 Adjunct): S. 606-611

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.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Mathematik, Informatik und Statistik > Informatik
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
• Sprache: Englisch