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Publication details

Document type
Conference papers

Document subtype
Extended abstract/Short paper

Title
MoodTurner: A Self-Tracking Smart Jewellery to Support Awareness and Reflection in Sensory Processing Sensitivity Self-Care

Participants in the publication
Maysoon Al-quaran (Author)
Dominique Geißler (Author)
Ceri Kamoen (Author)
Nathalie Overdevest (Author)
Marijke van Lune (Author)
Iris Weijers (Author)
Ruben Gouveia (Author)
Dep. Informática

Date of Publication
2022-04-27

Event
CHI Conference on Human Factors in Computing Systems Extended Abstracts

Publication Identifiers

Address
New Orleans LA USA

Publisher
ACM

Document Identifiers
DOI - https://doi.org/10.1145/3491101.3519803
URL - http://dx.doi.org/10.1145/3491101.3519803

Rankings
CORE A* (2023) - - Human-centred computing

Keywords
personal informatics mood tracking wearable

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APA
Maysoon Al-quaran, Dominique Geißler, Ceri Kamoen, Nathalie Overdevest, Marijke van Lune, Iris Weijers, Ruben Gouveia, (2022). MoodTurner: A Self-Tracking Smart Jewellery to Support Awareness and Reflection in Sensory Processing Sensitivity Self-Care. CHI Conference on Human Factors in Computing Systems Extended Abstracts, -

IEEE
Maysoon Al-quaran, Dominique Geißler, Ceri Kamoen, Nathalie Overdevest, Marijke van Lune, Iris Weijers, Ruben Gouveia, "MoodTurner: A Self-Tracking Smart Jewellery to Support Awareness and Reflection in Sensory Processing Sensitivity Self-Care" in CHI Conference on Human Factors in Computing Systems Extended Abstracts, New Orleans LA USA, 2022, pp. -, doi: 10.1145/3491101.3519803

BIBTEX
@InProceedings{61636, author = {Maysoon Al-quaran and Dominique Geißler and Ceri Kamoen and Nathalie Overdevest and Marijke van Lune and Iris Weijers and Ruben Gouveia}, title = {MoodTurner: A Self-Tracking Smart Jewellery to Support Awareness and Reflection in Sensory Processing Sensitivity Self-Care}, booktitle = {CHI Conference on Human Factors in Computing Systems Extended Abstracts}, year = 2022, pages = {-}, address = {New Orleans LA USA}, publisher = {ACM} }