Browsing by Author "Aseniero, Bon Adriel"

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    An Autobiographical Reflection on Designing Visualizations for Personal Contexts
    (2020-10-23) Aseniero, Bon Adriel; Carpendale, Sheelagh; Tang, Anthony; Willett, Wesley; Neustaedter, Carman; Liang, Hung-Ling (Steve); Vande Moere, Andrew
    Understanding personally relevant data can help us reflect upon ourselves or learn something new. Research in information visualization has shown that the use of interactive, graphical representations of data (data visualizations) enhance our ability to process information and learn. However, most of our current understanding of designing these representations stem from task-oriented professional/work contexts. In contrast, recently, the Infovis community has been interested in designing visualizations for more personal contexts. This knowledge can be applied to emergent research on data visualization usage in broader perspectives such as casual and personal visualizations, and visualizations for public engagement, where end-users tend to be non-experts, and where aesthetics and engagement may take precedence over task efficiency. In this thesis, I take an autobiographical approach in which I analyzed eight years’ worth of archived data (through design journals) on my work in designing and implementing data visualizations. These visualizations’ use cases range from individuals logging their activities, to several people (both novices and experts) convening in public engagement settings. Central to my body of work is an emphasis on the intentional use of visual aesthetics in designing data representations. Reflecting upon this body of work and experiences, I give a case-by-case, narrative reconstruction of my design process. In these narratives, I explore the prioritization of the aesthetic look-and-feel of visual encodings on the same level as people’s data exploration tasks. With this longitudinal insight, my thesis outlines a process of how a data visualization designer can design nonconventional data representations for personal contexts from sketches to working prototypes.
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    Health Visualizations at Home: Who Sees What Where
    (University of Calgary, 2018-10-21) Aseniero, Bon Adriel; Tang, Anthony; Carpendale, Sheelagh
    We conducted a qualitative study pilot to gather requirements for integrating health visualizations at home. We focused on finding dynamics between (1) people: who the visualizations are made for, and others who will see them; (2) visualization: what visual representations people expect for their homes; and (3) location: where people expect to find the visualizations. We describe our study methodology and the results. We found hints of concepts for consideration such as (1) privacy can be derived from visualization style, (2) visualizations can be installed at high traffic locations but data sensitivity should be considered, and (3) location of related tools at home can influence where visualizations should be located.
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    OneSpace: Shared Depth-Corrected Video Interaction
    (2012-12-14) Tang, Anthony; Ledo, David; Aseniero, Bon Adriel; Boring, Sebastian
    Video conferencing commonly employs a video portal metaphor to connect individuals from remote spaces. In this work, we explore an alternate metaphor, a shared depthmirror, where video images of two spaces are merged into a single shared, depth-corrected video. Just as seeing one’s mirror image causes reflective interaction, the shared video space changes the nature of interaction in the video space. We realize this metaphor in OneSpace, where the space respects virtual spatial relationships between people and objects, and in so doing, encourages cross-site, full-body interactions. We report preliminary observations of OneSpace in use, describing the role of depth in our participants’ interactions. Based on these observations, we argue that the depth mirror offers new opportunities for shared video interaction.
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    Personal Visualization and Personal Visual Analytics
    (IEEE, 2015) Dandan, Huang; Tory, Melanie; Aseniero, Bon Adriel; Bartram, Lyn; Bateman, Scott; Carpendale, Sheelagh; Tang, Anthony; Woodbury, Robert
    Data surrounds each and every one of us in our daily lives, ranging from exercise logs, to archives of our interactions with others on social media, to online resources pertaining to our hobbies. There is enormous potential for us to use these data to understand ourselves better and make positive changes in our lives. Visualization (Vis) and Visual Analytics (VA) offer substantial opportunities to help individuals gain insights about themselves, their communities and their interests; however, designing tools to support data analysis in non-professional life brings a unique set of research and design challenges. We investigate the requirements and research directions required to take full advantage of Vis and VA in a personal context. We develop a taxonomy of design dimensions to provide a coherent vocabulary for discussing Personal Visualization and Personal Visual Analytics. By identifying and exploring clusters in the design space, we discuss challenges and share perspectives on future research. This work brings together research that was previously scattered across disciplines. Our goal is to call research attention to this space and engage researchers to explore the enabling techniques and technology that will support people to better understand data relevant to their personal lives, interests, and needs.
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    Showing Real-time Recommendations to explore the stages of Reflection and action
    (2013-02-01) Aseniero, Bon Adriel; Tang, Anthony; Carpendale, Sheelagh; Greenberg, Saul
    The majority of Personal Informatics (PI) tools which use Ubiquitous Computing (UbiComp) devices are focused on the collection stage of PI as described by Li et al. [4]. However, tools supporting the reflection and action stages with UbiComp are underexplored. To date, tools for reflection are mostly limited to visualisations of prior performance of an individual, and how to support action is still very much in debate. In this work, we explore how reflection and action might be supported through UbiComp and HCI techniques. We implemented Tip-Me-lens; a prototype designed for exploring and understanding recommendations based on PI data in context. It uses AR tags to differentiate between products; while a mobile device and its camera act as a magic lens which visually overlays digital and real-world browsing. It acts as a futuristic grocery shopping tool that displays recommendations on-the-go as they relate to one’s dietary goals.
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    STRATOS: The Design of Visualization to Support Decision-making in Software Release Planning
    (2014-12-24) Aseniero, Bon Adriel; Carpendale, Sheelagh; Tang, Anthony
    Software is typically developed in incremental stages or releases. Planning releases involves deciding on which features of the software should have implementation priority. This is a complex planning process involving numerous constraints and factors, trade-offs, that often make decisions difficult. Since the success of a product depends on this plan, it is vital for planners to examine the trade-offs between different alternatives in order to make an informed choice. To support this type of decision-making, my exploration involved designing and implementing STRATOS—a visualization tool showing several software release plans simultaneously within a singular layout, helping planners understand the differences among them. Through a qualitative evaluation, I found that it enabled a range of decision-making processes, ultimately helping participants in choosing an optimal release plan. My contributions include the hybrid visualization, STRATOS, and the findings from its evaluation that implicate design for future visualizations supporting decision-making.
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    Visualizing the 11th Classification of Diseases
    (2019-10-05) Aseniero, Bon Adriel; Knudsen, Søren; Ghali, William A.; Carpendale, Sheelagh
    We designed and implemented an interactive artistic data visualization of the 11th International Classification of Diseases (ICD-11). Our visualization primarily showcases the structure of the ICD-11, showing how the different codes fall into the main disease categories (chapters) and subcategories. This is our preliminary approach in the design and study of artistic visualizations for exploring the ICD-11, as well as aid in its awareness campaign.