Sleep tracking in the real world

Liang, Zilu; Ploderer, Bernd

doi:10.1145/3010915.3010988

Cited by 49 publications

(23 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Technology transparency has been considered important in sleep tracking [58,61,77]. However, we found that participants often failed to assess the functional credibility of the three sleep-tracking devices through sensible analysis, because the devices remained a black box that prevented participants from constructing a correct conceptual model of how they work [15,77].…”

Section: Two Types Of Fallacies In Sleep Trackingmentioning

confidence: 91%

“…There is strong evidence that sleep-tracking increases people's awareness of sleep health and support healthy sleep behaviors [61]. However, the long-term impact of sleep-tracking on sleep quality remains limited [58]. Some of the main obstacles include technology transparency, not tracking triggers, not giving actionable knowledge and not providing personalized recommendations [61].…”

Section: Sleep Tracking and Monitoring Technologiesmentioning

confidence: 99%

“…The accuracy of consumer sleep-tracking devices has been a major concern for individual users and for researchers [5,58,59,61,77]. Many studies have examined the validity and reliability of these devices in laboratories [18,19,21,63,70] and in participants' own living environment [55].…”

Section: Sleep Tracking and Monitoring Technologiesmentioning

confidence: 99%

“…Despite of the importance of credibility, no study has systematically examined the credibility of personal information from sleep-tracking devices. As has been described in the previous section, studies on consumer sleep-tracking technologies have been mostly focusing on usability [14,58,61,77], accuracy (both quantitative and qualitative) [21,48,55] and efficacy [16,58]. Our study sets out to investigate the credibility of sleep-tracking technologies systematically in all four aspects outlined in Fogg and Tseng's systems perspective: device, interface, functionality, and information.…”

Section: Credibility In Human-computer Interactionmentioning

confidence: 99%

“…Design challenge 2: Increase the transparency of device mechanism and validity. Technology transparency has been considered important in sleep tracking [58,61,77]. It is thus critical to help users form an appropriate mental model of how sleep-tracking devices work and the validity of different types of devices.…”

Section: Design Challenges and Opportunitiesmentioning

confidence: 99%

See 4 more Smart Citations

How Does Fitbit Measure Brainwaves

Liang

Ploderer

2020

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Self Cite

View full text Add to dashboard Cite

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. CCS Concepts: • Human-centered computing → Empirical studies in HCI.

show abstract