Meyer, Jochen ORCID: 0000-0001-9265-4041, Simske, Steven ORCID: 0000-0002-6937-1956, Siek, Katie A. ORCID: 0000-0001-8632-2411, Gurrin, Cathal ORCID: 0000-0003-2903-3968 and Hermens, Hermie ORCID: 0000-0002-3065-3876 (2014) Beyond quantified self: data for wellbeing. In: Conference on Human Factors in Computing Systems. CHI ’14, 26 Apr-1 May 2014, Toronto, Canada. ISBN 978-1-4503-2474-8
Abstract
Sustaining our health and wellbeing requires lifelong
efforts for prevention and healthy living. Continuously
observing ourselves is one of the fundamental
measures to be taken. While many devices support
monitoring and quantifying our health behavior and
health state, they all are facing the same trade-off: the
higher the data quality is the higher are the efforts of
data acquisition. However, for lifelong use, minimizing
efforts for the user is crucial. Nowadays, few devices
find a good balance between cost and value. In this
interdisciplinary workshop we discuss how this trade-off
can be approached by addressing three topics:
understanding the user’s information needs, exploring
options for data acquisition, and discussing potential
designs for life-long use.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | data analysis; user oriented design; wellbeing |
Subjects: | Computer Science > Multimedia systems Computer Science > Lifelog Medical Sciences > Health |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > INSIGHT Centre for Data Analytics |
Published in: | Extended Abstracts on Human Factors in Computing Systems CHI EA ’14. . Association for Computing Machinery (ACM). ISBN 978-1-4503-2474-8 |
Publisher: | Association for Computing Machinery (ACM) |
Official URL: | https://doi.org/10.1145/2559206.2560469 |
Copyright Information: | © 2014 The Authors |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 24718 |
Deposited On: | 01 Jul 2020 12:14 by Cathal Gurrin . Last Modified 15 Dec 2021 16:57 |
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