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add pyxis
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static/images/figures/pyxis.png

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static/images/thumbs/pyxis.png

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static/papers/pyxis.json

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{
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"doi": "10.1109/TVCG.2023.3326698",
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"web_name": "pyxis",
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"title": "What Do We Mean When We Say “Insight”? A Formal Synthesis of Existing Theory",
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"venue": "VIS",
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"year": 2023,
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"note": "",
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"start_page": null,
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"end_page": null,
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"volume": 30,
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"issue": 9,
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"editors": "",
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"publisher": "Institute of Electrical and Electronics Engineers (IEEE)",
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"location": "",
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"pdf": "https://arxiv.org/pdf/2206.04767",
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"abstract": "Researchers have derived many theoretical models for specifying users’ insights as they interact with a visualization system. These representations are essential for understanding the insight discovery process, such as when inferring user interaction patterns that lead to insight or assessing the rigor of reported insights. However, theoretical models can be difficult to apply to existing tools and user studies, often due to discrepancies in how insight and its constituent parts are defined. This article calls attention to the consistent structures that recur across the visualization literature and describes how they connect multiple theoretical representations of insight. We synthesize a unified formalism for insights using these structures, enabling a wider audience of researchers and developers to adopt the corresponding models. Through a series of theoretical case studies, we use our formalism to compare and contrast existing theories, revealing interesting research challenges in reasoning about a user's domain knowledge and leveraging synergistic approaches in data mining and data management research.",
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"thumbnail": "images/thumbs/pyxis.png",
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"figure": "images/figures/pyxis.png",
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"caption": "Our formalism defines insight as the joining of analytical results derived from a dataset (analytic knowledge) with contextual information that gives these results meaning (domain knowledge). In this example, we apply our formalism to an analysis of reported crimes in the city of Baltimore. We observe a peak in total crimes in April 2015, representing analytic knowledge. This peak correlates with protests and political unrest in response to Gray's mistreatment and conflicting reports from the Baltimore Police Department.",
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"visible": true,
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"pub_date": "2024-10-15",
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"mod_date": "2024-10-15",
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"authors": [
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{
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"first_name": "Leilani",
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"last_name": "Battle",
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"url": "https://homes.cs.washington.edu/~leibatt/"
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},
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{
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"first_name": "Alvitta",
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"last_name": "Ottley",
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"url": "https://alvitta.com/"
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}
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],
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"materials": [
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{
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"name": "Software",
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"link": "https://github.com/leibatt/pyxis"
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}
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],
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"tags": [
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"insight"
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]
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}

static/people.json

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"position": null,
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"interests": null,
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"org": null
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},
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{
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"first_name": "Alvitta",
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"last_name": "Ottley",
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"display_name": null,
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"email": "",
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"url": "https://alvitta.com/",
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"status": "other",
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"visible": true,
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"image": null,
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"nickname": null,
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"position": null,
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"interests": null,
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"org": "Washington University in St. Louis"
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}
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]

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