![](bgd.png)
DFG ER 272-14 and by the Deutsche Forschungs-
gemeinschaft (DFG, German Research Foundation)
under Germany’s Excellence Strategy – EXC 2075
– 390740016. Tanja Blascheck is funded by the Eu-
ropean Social Fund and the Ministry of Science, Re-
search and Arts Baden-W
¨
urttemberg.
REFERENCES
Albaghli, R. and Anderson, K. (2016). A vision for heart
rate health through wearables. In Proceedings of the
ACM International Joint Conference on Pervasive and
Ubiquitous Computing: Adjunct, pages 1101–1105.
ACM.
American Heart Association (2022). Target heart rates
chart. https://www.heart.org/en/healthy-living/fitness/
fitness-basics/target-heart-rates. Last visited: October,
2022.
Amini, F., Hasan, K., Bunt, A., and Irani, P. (2017). Data
representations for in-situ exploration of health and
fitness data. In Proceedings of the EAI International
Conference on Pervasive Computing Technologies for
Healthcare, pages 163–172. ACM.
Apple (2022). Check your heart rate on apple
watch. https://support.apple.com/guide/watch/
heart-rate-apda88aefe4c/watchos. Last visited:
October, 2022.
Besan
c¸
on, L. and Dragicevic, P. (2017). The significant
difference between p-values and confidence intervals.
In Proceedings of the Conference on l’Interaction
Homme-Machine, pages 53–62.
Besan
c¸
on, L. and Dragicevic, P. (2019). The continued
prevalence of dichotomous inferences at CHI. In Ex-
tended Abstracts of the SIGCHI Conference on Human
Factors in Computing Systems, pages 1–11. ACM.
Blascheck, T., Bentley, F., Choe, E. K., Horak, T., and Isen-
berg, P. (2021). Characterizing glanceable visualiza-
tions: from perception to behavior change. In Lee, B.,
Dachselt, R., Isenberg, P., and Choe, E. K., editors,
Mobile Data Visualization, chapter 5, pages 151–176.
Chapman and Hall/CRC.
Blascheck, T., Besan
c¸
on, L., Bezerianos, A., Lee, B., and
Isenberg, P. (2019). Glanceable visualization: stud-
ies of data comparison performance on smartwatches.
IEEE Transactions on Visualization and Computer
Graphics, 25(1):630–640.
Blascheck, T. and Isenberg, P. (2021). A replication study on
glanceable visualizations: Comparing different stimu-
lus sizes on a laptop computer. In VISIGRAPP.
Cardiogram, H. R. M. (2017). https://apps.apple.com/
app/cardiogram-heart-rate-monitor/id1000017994?
platform=appleWatch. Last visited: October, 2022.
Chen, Y. (2017). Visualizing large time-series data on very
small screens. In Short Papers of the European Confer-
ence on Visualization, pages 37–41. The Eurographics
Association.
Choe, E. K., Lee, B., Zhu, H., Riche, N. H., and Baur, D.
(2017). Understanding self-reflection: how people
reflect on personal data through visual data exploration.
In Proceedings of the EAI International Conference
on Pervasive Computing Technologies for Healthcare,
pages 173–182. ACM.
Cockburn, A., Dragicevic, P., Besan
c¸
on, L., and Gutwin,
C. (2020). Threats of a replication crisis in empiri-
cal computer science. Communications of the ACM,
63(8):70–79.
Cumming, G. (2013). Understanding the new statistics:
effect sizes, confidence intervals, and meta-analysis.
Routledge.
DC RAINMAKER (2019). Garmin fenix 6 series in-
depth review. https://www.dcrainmaker.com/2019/
08/garmin-fenix6-pro-solar-series-review.html/
comment-page-2. Last visited: October, 2022.
Dragicevic, P. (2016). Fair statistical communication in HCI.
In Robertson, J. and Kaptein, M., editors, Modern
Statistical Methods for HCI, chapter 13, pages 291–
330. Springer.
FITIV, M. F. I. (2021). Pulse heart rate monitor. https:
//fitiv.com/. Last visited: October, 2022.
Flask, L. (2018). Zones for training. https:
//apps.apple.com/us/app/zones-for-training/
id1139688415?platform=appleWatch. Last vis-
ited: October, 2022.
Friel, J. (2006). Total Heart Rate Training. Ulysses Press.
Garmin (2022). Garmin instinct heart
rate widget. https://www8.garmin.
com/manuals/webhelp/instinct/EN-US/
GUID-EB942FCB-6DA6-4082-9ED3-0DE51CB79E74.
html. Last visited: October, 2022.
GoogleFit (2020). Updates to google fit on wear os.
https://support.google.com/wearos/thread/84883193/
updates-to-google-fit-on-wear-os?hl=en. Last visited:
October, 2022.
HC Studios (2022). Heart rate zones app.
https://play.google.com/store/apps/details?id=
com.hcstudios.heartratezonecalculator. Last visited:
October, 2022.
Higgins, J. (2004). Introduction to Modern Nonparametric
Statistics. Thomson Learning.
Islam, A., Aravind, R., Blascheck, T., Bezerianos, A., and
Isenberg, P. (2022). Preferences and effectiveness of
sleep data visualizations for smartwatches and fitness
bands. In Proceedings of the SIGCHI Conference on
Human Factors in Computing Systems, pages 1–17.
ACM.
Islam, A., Bezerianos, A., Lee, B., Blascheck, T., and Isen-
berg, P. (2020). Visualizing information on watch faces:
a survey with smartwatch users. In Short Papers of the
IEEE Visualization Conference, pages 156–160. IEEE
Computer Society Press.
Ketcheson, M., Ye, Z., and Graham, N. (2015). Designing for
exertion: how heart-rate power-ups increase physical
activity in exergames. In Proceedings of the Annual
Symposium on Computer-Human Interaction in Play,
pages 79–89. ACM.
MakkasCIQ (2017). Hrzmon+, heart rate zone
monitor+. https://apps.garmin.com/en-US/apps/
Heart Rate Visualizations on a Virtual Smartwatch to Monitor Physical Activity Intensity
113