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Smart interactions for the quantified self
KTH, Skolan för elektroteknik och datavetenskap (EECS), Medieteknik och interaktionsdesign, MID.ORCID-id: 0000-0002-8276-4471
KTH, Skolan för elektroteknik och datavetenskap (EECS), Medieteknik och interaktionsdesign, MID.ORCID-id: 0000-0001-6457-5231
2018 (engelsk)Inngår i: Challenges and Solutions in Smart Learning: Proceeding of 2018 International Conference on Smart Learning Environments, Beijing, China, Springer International Publishing , 2018, s. 67-72Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

The Quantified Self is a movement for collecting personal data with the goal of providing possibilities for new insights through reflecting on own relevant data, with applications in areas such as physical exercise, food, and health. When collecting personal data, difficulties may arise, such as information from different sources which cannot easily be combined, closed access to information sources, inflexible tooling for producing desired quantifications, varying precision of data used for producing quantifications, and a lack of control over data sharing for supporting relevant comparisons with others. In this paper, we introduce the concept of smart interactions, backed by linked data, as a means of introducing the QS through smart and personal learning environments, both for reducing the associated difficulties and further empowering the QS.

sted, utgiver, år, opplag, sider
Springer International Publishing , 2018. s. 67-72
Serie
Lecture Notes in Educational Technology, ISSN 2196-4963
Emneord [en]
Linked data, Personal learning environments, Quantified self, Smart interactions, Smart learning environments
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-224845DOI: 10.1007/978-981-10-8743-1_10Scopus ID: 2-s2.0-85043759933OAI: oai:DiVA.org:kth-224845DiVA, id: diva2:1193515
Forskningsfinansiär
Swedish Energy Agency
Merknad

QC 20180327

Tilgjengelig fra: 2018-03-27 Laget: 2018-03-27 Sist oppdatert: 2018-03-27bibliografisk kontrollert

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Isaksson, ErikHedin, Björn

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