How Does Fitbit Measure Brainwaves
How Does Fitbit Measure Brainwaves
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Fitbit 如何测量脑电波
DOI:
10.1145/3380994
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发表时间:
2020
影响因子:
--
通讯作者:
Ploderer Bernd
中科院分区:
文献类型:
--
作者:
Liang Zilu;Ploderer Bernd
Consumer sleep-tracking devices provide an unobtrusive and affordable way to learn about personal sleep habits. Recent research focused primarily on the information provided by such devices, i.e., whether the information is accurate and meaningful to people. However, little is known about how people judge the credibility of such information, and how the functionality and the design may influence such judgements. Hence, the aim of this research was to examine how consumers assess the credibility of sleep-tracking devices. We conducted a qualitative study with 22 participants who tracked their sleep for 3 nights with three different devices: Fitbit Charge 2, Neuroon EEG, and SleepScope, a medical sleep monitor. Based on semi-structured interviews, we found that people assess the credibility of sleep-tracking devices based not only on the credibility of sleep data per se, but also on device functionality, interface design and physical appearance. People found it difficult to judge credibility, because of the complexities of sleep stages and micro-arousals (sleep fallacy) and the black boxed nature of devices (black box fallacy), and also because of the misalignment between objective sleep measures and subjective sleep quality. We discuss the significance of design and functionality on the credibility of personal health technologies and highlight design challenges and opportunities to enhance their credibility.
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DOI:
--
发表时间:
2008
期刊:
International Conference on Human Factors in Computing Systems
影响因子:
--
作者:
I. Jonsson;Helen Harris;C. Nass
通讯作者:
C. Nass
DOI:
--
发表时间:
2017
期刊:
影响因子:
--
作者:
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通讯作者:
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DOI:
10.1016/s0020-7373(87)80013-5
发表时间:
1987-11-01
期刊:
INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES
影响因子:
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作者:
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通讯作者:
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DOI:
10.1145/2838739.2838742
发表时间:
2015-12
期刊:
Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction
影响因子:
--
作者:
Wanyu Liu;Bernd Ploderer;Thuong N. Hoang
通讯作者:
Wanyu Liu;Bernd Ploderer;Thuong N. Hoang
DOI:
10.1145/2750858.2804269
发表时间:
2015
期刊:
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
影响因子:
--
作者:
Rayoung Yang;Eunice Shin;Mark W. Newman;M. Ackerman
通讯作者:
M. Ackerman