. Albers-d, M. Correll, and . Gleicher-m, Task-driven evaluation of aggregation in time series visualization, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp.551-560, 2014.

. Blascheck-t, L. Besançon, . Bezerianos-a, . Lee-b, and P. Isenberg, Glanceable visualization: Studies of data comparison performance on smartwatches, IEEE Transactions on Visualization and Computer Graphics, vol.25, pp.630-640, 2019.

M. Brehmer, . Lee-b, P. Isenberg, and . K. Choe-e, Visualizing ranges over time on mobile phones: A task-based crowdsourced evaluation, IEEE Transactions on Visualization and Computer Graphics, vol.25, issue.1, pp.619-629, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01857469

C. Y. , Visualizing Large Time-series Data on Very Small Screens, The Eurographics Association, 2017.

. K. Choe-e, . Lee-b, H. Zhu, . H. Riche-n, and . Baur-d, Understanding self-reflection: How people reflect on personal data through visual data exploration, Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp.173-182, 2017.

I. Gartner, Gartner says worldwide wearable device sales to grow 26 percent in 2019, 2018.

. Gouveia-r, . Pereira-f, E. Karapanos, . A. Munson-s, and . Hassenzahl-m, Exploring the design space of glanceable feedback for physical activity trackers, Proceedings of the International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pp.144-155, 2016.

. J. Swihart-b, B. Caffo, . Bandeen-roche-k, and N. M. Punjab, Characterizing sleep structure using the hypnogram, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, vol.4, pp.349-355, 2008.

. C. Weller-s and . K. Romney-a, Systematic Data Collection, vol.10, 1988.