Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Nogueira, J., Alves, T. & Nicolau, H. (2021). DAN Danny: Combining analog and digital self-tracking data to manage wellbeing. ICGI 2021 - 2021 International Conference on Graphics and Interaction, Proceedings. IEEE. https://doi.org/10.1109/ICGI54032.2021.9655289
Exportar Referência (IEEE)
N. J. et al.,  "DAN Danny: Combining analog and digital self-tracking data to manage wellbeing", in ICGI 2021 - 2021 Int. Conf. on Graphics and Interaction, Proc., IEEE, 2021
Exportar BibTeX
@inproceedings{j.2021_1789161725957,
	author = "Nogueira, J. and Alves, T. and Nicolau, H.",
	title = "DAN Danny: Combining analog and digital self-tracking data to manage wellbeing",
	booktitle = "ICGI 2021 - 2021 International Conference on Graphics and Interaction, Proceedings",
	year = "2021",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ICGI54032.2021.9655289",
	publisher = "IEEE",
	address = "",
	organization = "",
	url = "https://www.scopus.com/record/display.uri?eid=2-s2.0-85124489234&origin=inward&txGid=32480cb103d15d7f2530af3833a7d519"
}
Exportar RIS
TY  - CPAPER
TI  - DAN Danny: Combining analog and digital self-tracking data to manage wellbeing
T2  - ICGI 2021 - 2021 International Conference on Graphics and Interaction, Proceedings
AU  - Nogueira, J.
AU  - Alves, T.
AU  - Nicolau, H.
PY  - 2021
DO  - 10.1109/ICGI54032.2021.9655289
UR  - https://www.scopus.com/record/display.uri?eid=2-s2.0-85124489234&origin=inward&txGid=32480cb103d15d7f2530af3833a7d519
AB  - An uprising trend of Personal Informatics has leveraged mobile applications to help users track their wellbeing; however, these digital solutions focus on quantitative data, lacking the insights provided by qualitative data in paper notebooks. We propose to digitally augment a paper diary to allow both analogue and digital data, bridging the gap between qualitative and quantitative data tracking practices to support better awareness and reflection on health data. As a first case-study, we designed a self-tracking tool to help college students manage their wellbeing by increasing self-awareness and easing help-seeking behaviours. Next, we conducted a longitudinal study to validate the tool's effectiveness and analyse its acceptability. Results show that our approach helped students by allowing moments of self-reflection and self-awareness. Additionally, our findings suggest that qualitative data is most useful when important events and abrupt changes to wellbeing occur. Preference for paper or digital diaries is highly user-dependent; however, most participants favoured a digital-only tool with notetaking capabilities.
ER  -