Visualizing Self-Tracked Mobile Sensor and Self-Reflection Data to Help Sleep Clinicians Infer Patterns

Wallace, Shaun; Guo, Hua; Sasson, David

doi:10.1145/3027063.3053138

Cited by 4 publications

(17 citation statements)

References 5 publications

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“…Of 18 studies that met our inclusion criteria (Figure 1), 9 used mixed methods, [43][44][45][46][47][48][49][50][51] 7 used quantitative descriptive methods, [52][53][54][55][56][57][58] 1 used qualitative methods, 59 and 1 used a quantitative randomized controlled design 60 (Table 1). Ten of 18 studies met all MMAT criteria (Supplementary Table S2).…”

Section: Resultsmentioning

confidence: 99%

“…Study participants included patients (n ¼ 9), 43,45,46,48,49,51,54,56,58 providers (n ¼ 4), 44,50,55,60 or both (n ¼ 5) 47,52,53,57,59 (Table 1). Sample sizes were 10 to 548 patients and 3 to 233 providers.…”

Section: Study and Symptom Characteristicsmentioning

confidence: 99%

“…43,44,49,51,54,57,58 Pain was the most studied NINR CDE symptom and was featured in all but 4 studies. 50,52,56,60…”

Section: Study and Symptom Characteristicsmentioning

confidence: 99%

“…The types of visualizations in the 18 studies included ( Table 2): graphs (n ¼ 14), 43,44,[49][50][51][52][53][54][55][56][57][58][59][60] icons (n ¼ 4), [45][46][47][48] and virtual body maps (n ¼ 2). 46,47 Studies featured both simple (eg, line and bar graphs) and complex graphs.…”

Section: Visualizationsmentioning

confidence: 99%

“…Complex graphs included radial heat maps, radial bar charts, and symptom relationship graphs. The radial heat map was used by Wallace et al 50 as a visualization of a 24-hour clock; it has 5 distinct rings that display an average data value at 15-minute intervals for noise anomalies, movement anomalies, sleep start time, actual wake time, and scheduled wake time. The radial bar chart has rings that reflect a 2-day segment with 15-minute intervals for current sleep state including normal sleep, oversleep, nap, noise anomaly, movement anomaly, noise and movement anomaly, aware, and early awakening.…”

Section: Visualizationsmentioning

confidence: 99%

See 4 more Smart Citations

Information visualizations of symptom information for patients and providers: a systematic review

Lor

Koleck

Bakken

2018

Journal of the American Medical Informatics Association

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Objective To systematically synthesize the literature on information visualizations of symptoms included as National Institute of Nursing Research common data elements and designed for use by patients and/or healthcare providers. Methods We searched CINAHL, Engineering Village, PsycINFO, PubMed, ACM Digital Library, and IEEE Explore Digital Library to identify peer-reviewed studies published between 2007 and 2017. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT) and a visualization quality score, and organized evaluation findings according to the Health Information Technology Usability Evaluation Model. Results Eighteen studies met inclusion criteria. Ten of these addressed all MMAT items; 13 addressed all visualization quality items. Symptom visualizations focused on pain, fatigue, and sleep and were represented as graphs (n = 14), icons (n = 4), and virtual body maps (n = 2). Studies evaluated perceived ease of use (n = 13), perceived usefulness (n = 12), efficiency (n = 9), effectiveness (n = 5), preference (n = 6), and intent to use (n = 3). Few studies reported race/ethnicity or education level. Conclusion The small number of studies for each type of information visualization limit generalizable conclusions about optimal visualization approaches. User-centered participatory approaches for information visualization design and more sophisticated evaluation designs are needed to assess which visualization elements work best for which populations in which contexts.

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Section: Resultsmentioning

confidence: 99%

Section: Study and Symptom Characteristicsmentioning

confidence: 99%

“…43,44,49,51,54,57,58 Pain was the most studied NINR CDE symptom and was featured in all but 4 studies. 50,52,56,60…”

Section: Study and Symptom Characteristicsmentioning

confidence: 99%

Section: Visualizationsmentioning

confidence: 99%

Section: Visualizationsmentioning

confidence: 99%

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Information visualizations of symptom information for patients and providers: a systematic review

Lor

Koleck

Bakken

2018

Journal of the American Medical Informatics Association

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Artistic Visualisation of Personal Data: A Case Study of Digital Scheduler

Jang¹,

Park²,

Kim³

2022

[ ] With Design: Reinventing Design Modes

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Exploring Fitness Tracker Visualisations to Avoid Rumination

Niess

Knaving

Kolb

et al. 2020

22nd International Conference on Human-Computer Interaction With Mobile Devices and Services

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Fitness trackers encourage users to set goals to improve personal wellbeing, but these goals sometimes remain unmet. Understanding how improved ways of communicating failure to meet fitness goals could help prevent negative thought cycles (rumination) and avoid reduced motivation for physical activity. To address this challenge, we studied how unmet goals can be presented in apps. We designed prototypes that showed unmet fitness goals. Radial and regular bar charts, single-coloured and multicoloured were used in the study. In a survey (n = 165), we compared the four versions and a textual description of the unmet goals. Then, we conducted followup interviews (n = 20) to gain a detailed understanding of the perceptions and feelings evoked by the prototypes. We found that bar graphs offered a significantly better potential for reflection and multicoloured charts triggered significantly more rumination. We contribute in-depth insights into designing systems that use goals and avoid potential negative effects of personal tracking. CCS CONCEPTS • Human-centered computing → Empirical studies in HCI.

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Visualizing Self-Tracked Mobile Sensor and Self-Reflection Data to Help Sleep Clinicians Infer Patterns

Cited by 4 publications

References 5 publications

Information visualizations of symptom information for patients and providers: a systematic review

Information visualizations of symptom information for patients and providers: a systematic review

Artistic Visualisation of Personal Data: A Case Study of Digital Scheduler

Exploring Fitness Tracker Visualisations to Avoid Rumination

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