SF-LG: Space-Filling Line Graphs for Visualizing Interrelated Time-series Data on Smartwatches

Neshati, Ali; Alallah, Fouad; Rey, Bradley; Sakamoto, Yumiko; Serrano, Marcos; Irani, Pourang

doi:10.1145/3447526.3472040

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…These factors especially complicate the visualization and interaction with complex data, e.g. time series [50]. In some situations, e.g.…”

Section: Glanceable Visualizations On Small Screensmentioning

confidence: 99%

“…Some techniques to visualize complex information such as time series have been proposed, e.g. a visualization that displays data on the screen's perimeter and in-depth information at the center [12,50]. Although the representation of health data for older adults has been explored [7,11,72], there has been limited research on how older adults interpret health data visualizations in small devices.…”

Section: Introductionmentioning

confidence: 99%

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Understanding how to Design Health Data Visualizations for Chilean Older Adults on Mobile Devices

Cajamarca,

Herskovic,

Dondighual

et al. 2023

Proceedings of the 2023 ACM Designing Interactive Systems Conference

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Mobile devices, including activity trackers and smartwatches, can help older adults monitor health parameters passively and unobtrusively. Most user interactions with small devices consist of brief glances at the time or notifcations. Consuming information from small displays poses challenges, which have been seldom studied from the perspective of older users. In this paper, we worked with older adults towards creating health data visualizations for them for small devices. We conducted a mixed-methods study with 30 older adults, in which we (1) conducted group discussions to understand participants' opinions, (2) measured times taken to interpret health data visualizations with and without progress information, (3) measured how much information they could manage to see during brief glances. When data was visualized without progress indicators, participants took less time to understand the data and made fewer errors. Participants preferred health data visualizations that featured peaceful, and positive pictorial representations. We present design opportunities for older adults' data visualizations in small devices.

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“…These factors especially complicate the visualization and interaction with complex data, e.g. time series [50]. In some situations, e.g.…”

Section: Glanceable Visualizations On Small Screensmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Understanding how to Design Health Data Visualizations for Chilean Older Adults on Mobile Devices

Cajamarca,

Herskovic,

Dondighual

et al. 2023

Proceedings of the 2023 ACM Designing Interactive Systems Conference

View full text Add to dashboard Cite

show abstract

“…Condensed line graphs along the x-axis improved accuracy in judging line heights, reducing the number of flick operations needed to view entire graphs and maximizing screen real estate. Similar efforts in efficient use of screen space include the simplified designs of Space-Filling Line Graphs [50] as well as the work of Chen [16], which proposed utilizing smartwatch borders for interactive broad views of large time-series data. Our study focuses on older adults as a target population, while these targeted a more general audience and included significantly younger participants.…”

Section: Glanceable Visualizationsmentioning

confidence: 99%

Characterizing Glanceable Visualizations: From Perception to Behavior Change

Blascheck¹,

Bentley²,

Choe³

et al. 2021

Mobile Data Visualization

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W E detail and illustrate glanceability as a crucial requirement for several types of mobile visualizations. For example, in a difficult terrain, a runner can only check a smartwatch for elevation or heart rate data for a few hundred milliseconds before the eyes need to refocus on the trail ahead. Such quick information needs differ from those in traditional visualizations that are meant for deep analysis and interaction with possibly large and complex datasets. Visualizations designed for quick information needs are described under a variety of terms in the literature such as glanceable visualizations, glanceable displays, peripheral displays, ambient visualizations, or sometimes as forms of casual visualizations. To clarify how glanceability is used in the field of Visualization, we discuss these related terms with respect to visualization concepts, drawing from not only Visualization but also, Vision Sciences, Human-Computer Interaction, and Ubiquitous Computing, revealing how the use of the term glanceable differs in these communities. Drawing from these different perspectives, we discuss specific values for glanceable mobile visualizations: presence & accessibility, simplicity & understandability, as well as suitability & purposefulness. Based on these values, we explore different evaluation methodologies, ranging from lab studies, to online experiments, to evaluation in the field and conclude with a discussion of open challenges in the design of future glanceable mobile visualizations.

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EdgeSelect: Smartwatch Data Interaction with Minimal Screen Occlusion

Neshati

Faleel

et al. 2022

Proceedings of the 2022 International Conference on Multimodal Interaction

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SF-LG: Space-Filling Line Graphs for Visualizing Interrelated Time-series Data on Smartwatches

Cited by 7 publications

References 29 publications

Understanding how to Design Health Data Visualizations for Chilean Older Adults on Mobile Devices

Understanding how to Design Health Data Visualizations for Chilean Older Adults on Mobile Devices

Characterizing Glanceable Visualizations: From Perception to Behavior Change

EdgeSelect: Smartwatch Data Interaction with Minimal Screen Occlusion

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