Mixed-Initiative Visual Text Analytics: Data-driven Views and Analytic Guidance

混合主动视觉文本分析:数据驱动的视图和分析指导

基本信息

  • 批准号:
    RGPIN-2015-03916
  • 负责人:
  • 金额:
    $ 2.62万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2016
  • 资助国家:
    加拿大
  • 起止时间:
    2016-01-01 至 2017-12-31
  • 项目状态:
    已结题

项目摘要

Visual analytics is the science of combining data processing, information visualization, and software to support people in the process of data analysis. The strength of visual analytics comes from having computers do work appropriate to their capabilities, such as counting, clustering, and bulk processing of data, while human analysts do the work of hypothesis formation, reasoning, evidence gathering, and decision making. The traditional way to start analyzing data with visualizations is to "overview" the data using high-level visual summaries. However, as data scales have grown, overviews are increasingly challenging to design in an effective way. Overviews of very large data, such as all the Tweets in a city over a year, are often too cluttered to reveal anything interesting. So, rather than starting with an overview, it may be better to suggest a starting point for analysis, such as a single Twitter user, or tweets from a single day. The proposed research will harness computing power to create data-driven suggestions of starting points for analysis and guidance for next steps. There is a trade-off around how far to take the role of computers in analyzing data. On one side, automatic highlighting or hiding of data details introduces potential risk of decisions being biased by algorithms. I argue that burdening analysts with visualizations which do not provide analytic guidance is equally inappropriate, as it ignores the ability of computational systems detect trends and regions of potential interest automatically. Analysts faced with general overviews may not know where to go, and may experience frustration as they start an investigation. By suggesting an interesting place to start, an analyst may more quickly achieve a state of deep engagement in analytic tasks. Thus, this proposal presents a program of research to investigate the nexus of the human-computer relationship in visual analytics: where should the control lie, what sorts of guidance are possible and helpful, and when should guidance be provided? In all of these investigations, I imagine retaining a human-in-charge paradigm, where suggestions and guidance can be ignored or deactivated, similar to the ‘autocomplete’ functions on a mobile phone.  The questions in this research will be investigated using text and document data. Text data is economically and socially important, and generated in enormous volumes daily, through emails, business reports, books, news, legal proceedings, and more. Through the research process, 10 students will receive specialized training in highly sought-after data science skills. This research will introduce new visual analytic practices, achieving a closer coupling of analysts and algorithms.  The outcomes promise to improve Canadians' ability to gain insights from economically and socially important large-scale datasets in domains from business intelligence to health informatics.
可视化分析是将数据处理,信息可视化和软件相结合的科学,以支持人们进行数据分析。可视化分析的优势在于让计算机做与其能力相适应的工作,如计数、聚类和批量处理数据,而人类分析师则负责假设形成、推理、证据收集和决策。使用可视化开始分析数据的传统方法是使用高级可视化摘要“概览”数据。然而,随着数据规模的增长,概览的有效设计越来越具有挑战性。非常大的数据的概述,例如一个城市一年内的所有推文,通常太混乱,无法揭示任何有趣的东西。因此,与其从概述开始,不如建议一个分析的起点,比如一个Twitter用户,或者一天中的推文。拟议的研究将利用计算能力来创建数据驱动的起点建议,以供分析和指导下一步。 在分析数据时,计算机的作用到底发挥到什么程度,这是一个权衡的问题。一方面,数据细节的自动突出显示或隐藏会带来决策被算法偏见的潜在风险。我认为,负担分析师与可视化不提供分析指导是同样不合适的,因为它忽略了计算系统的能力,自动检测的趋势和潜在利益的地区。分析师面临的一般概述可能不知道去哪里,并可能会遇到挫折,因为他们开始调查。通过建议一个有趣的开始,分析师可能会更快地达到深入参与分析任务的状态。因此,本提案提出了一个研究方案,以调查视觉分析中人机关系的关系:控制应该在哪里,什么样的指导是可能的和有帮助的,什么时候应该提供指导?在所有这些调查中,我想象保留一个人类负责的范例,其中建议和指导可以被忽略或停用,类似于移动的手机上的“自动完成”功能。 本研究的问题将使用文本和文献资料进行调查。文本数据在经济上和社会上都很重要,每天都通过电子邮件、商业报告、书籍、新闻、法律的诉讼等产生大量文本数据。通过研究过程,10名学生将接受备受追捧的数据科学技能的专业培训。这项研究将引入新的可视化分析实践,实现分析师和算法的更紧密耦合。 这些成果有望提高加拿大人从商业智能到健康信息学等领域具有经济和社会重要性的大型数据集中获得见解的能力。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Collins, Christopher其他文献

Structure searching methods: general discussion
结构搜索方法:一般讨论
  • DOI:
    10.1039/c8fd90030b
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Addicoat, Matthew;Adjiman, Claire S.;Arhangelskis, Mihails;Beran, Gregory J.;Brandenburg, Jan Gerit;Braun, Doris E.;Burger, Virginia;Burow, Asbjoern;Collins, Christopher;Cooper, Andrew
  • 通讯作者:
    Cooper, Andrew
The Transition to Fatherhood, Contextual Stress, and Substance Abuse: A Prospective Analysis of Rural, Emerging Adult Black American Men.
向父亲身份,情境压力和滥用毒品的过渡:对农村,新兴的成年黑人男性的前瞻性分析。
  • DOI:
    10.1080/10826084.2022.2115851
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Curtis, Michael G.;Collins, Christopher;Augustine, Danielle;Kwon, Elizabeth;Reck, Ava;Zuercher, Heather;Kogan, Steven M.
  • 通讯作者:
    Kogan, Steven M.
Influence of Local Muscle Cooling on Mitochondrial-Related Gene Expression at Rest.
  • DOI:
    10.3390/ijerph191912028
  • 发表时间:
    2022-09-23
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Robins, Larry;Kwon, Monica;McGlynn, Mark L.;Rosales, Alejandro M.;Pekas, Elizabeth J.;Collins, Christopher;Park, Song-Young;Slivka, Dustin R.
  • 通讯作者:
    Slivka, Dustin R.
Planful Self-Control, Metabolic Risk, and Psychosocial Outcomes Among Young, Black Men: A Test of Skin-Deep Resilience Theory.
  • DOI:
    10.3389/fpsyg.2022.806955
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Kogan, Steven M;Reck, Ava J;Curtis, Michael G;Zuercher, Heather;Collins, Christopher;Kwon, Elizabeth;Augustine, Danielle A
  • 通讯作者:
    Augustine, Danielle A
A Density Functional Tight Binding Layer for Deep Learning of Chemical Hamiltonians
  • DOI:
    10.1021/acs.jctc.8b00873
  • 发表时间:
    2018-11-01
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Li, Haichen;Collins, Christopher;Yaron, David J.
  • 通讯作者:
    Yaron, David J.

Collins, Christopher的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Collins, Christopher', 18)}}的其他基金

Linguistic Information Visualization
语言信息可视化
  • 批准号:
    CRC-2018-00072
  • 财政年份:
    2022
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Canada Research Chairs
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPIN-2021-04353
  • 财政年份:
    2022
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPAS-2021-00033
  • 财政年份:
    2022
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPIN-2021-04353
  • 财政年份:
    2021
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPAS-2021-00033
  • 财政年份:
    2021
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Linguistic Information Visualization
语言信息可视化
  • 批准号:
    CRC-2018-00072
  • 财政年份:
    2021
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Canada Research Chairs
Story Sharing and Visualization to Address Working From Home Mental Health
故事分享和可视化可解决在家工作的心理健康问题
  • 批准号:
    554967-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Alliance Grants
Mixed-Initiative Visual Text Analytics: Data-driven Views and Analytic Guidance
混合主动视觉文本分析:数据驱动的视图和分析指导
  • 批准号:
    RGPIN-2015-03916
  • 财政年份:
    2020
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Linguistic Information Visualization
语言信息可视化
  • 批准号:
    CRC-2018-00072
  • 财政年份:
    2020
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Canada Research Chairs
Linguistic Information Visualization
语言信息可视化
  • 批准号:
    CRC-2018-00072
  • 财政年份:
    2019
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Canada Research Chairs

相似海外基金

Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPIN-2021-04353
  • 财政年份:
    2022
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPAS-2021-00033
  • 财政年份:
    2022
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPIN-2021-04353
  • 财政年份:
    2021
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Guidance in Visual Analytics through Mixed-Initiative and Implicit Interaction
通过混合主动和隐式交互进行可视化分析的指导
  • 批准号:
    RGPAS-2021-00033
  • 财政年份:
    2021
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Mixed-Initiative Visual Text Analytics: Data-driven Views and Analytic Guidance
混合主动视觉文本分析:数据驱动的视图和分析指导
  • 批准号:
    RGPIN-2015-03916
  • 财政年份:
    2020
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Mixed-Initiative Visual Text Analytics: Data-driven Views and Analytic Guidance
混合主动视觉文本分析:数据驱动的视图和分析指导
  • 批准号:
    RGPIN-2015-03916
  • 财政年份:
    2019
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
CHS: Small: Enhancing Data Analysis Strategies with Mixed-Initiative Visual Analytics
CHS:小型:通过混合主动可视化分析增强数据分析策略
  • 批准号:
    1813281
  • 财政年份:
    2018
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Standard Grant
Mixed-Initiative Visual Text Analytics: Data-driven Views and Analytic Guidance
混合主动视觉文本分析:数据驱动的视图和分析指导
  • 批准号:
    RGPIN-2015-03916
  • 财政年份:
    2018
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Mixed-Initiative Visual Text Analytics: Data-driven Views and Analytic Guidance
混合主动视觉文本分析:数据驱动的视图和分析指导
  • 批准号:
    477871-2015
  • 财政年份:
    2017
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Mixed-Initiative Visual Text Analytics: Data-driven Views and Analytic Guidance
混合主动视觉文本分析:数据驱动的视图和分析指导
  • 批准号:
    RGPIN-2015-03916
  • 财政年份:
    2017
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了