Visualizing Instead of Overloading: Exploring the Promise and Problems of Visual Communication to Reduce Information Overload

Mengis, Jeanne; Eppler, Martin J.

doi:10.1002/9781118360491.ch10

Cited by 9 publications

(3 citation statements)

References 50 publications

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“…Although the concept of potential negative effects of receiving too much information has been around for a long time (Blair, ), in the late 20th century scholars began to discuss, debate, and theorize the “information overload,” related stressors, and impacts on decision‐making that are frequently associated with the high flow of (certain types of) information in our current globalized digital era (e.g., Jacoby, Speller, & Berning, ; Tidline, ; Wilson, ; Wurman, ). Researchers across marketing, psychology, and social and information sciences have explored both technological and human responses to information overload, with varied findings related to the ways people use heuristics (Messner & Wänke, ) and explicitly cognitively (Hargittai, Neuman, & Curry, ; Miller, ) or technologically (Aljukhadar, Senecal, & Daoust, ; Mengis & Eppler, ; Sundar, Knobloch‐Westerwick, & Hastall, ) filter information for both work or everyday life purposes . In Koltay and colleagues' (2017) review of information overload mitigation responses, the authors found a mix in the literature to date between acceptance of the idea that nonspecialist information seekers and users “themselves had to become the gatekeepers” (p. 773) or mediators of information, and advocating the advancement of technological/professional solutions to aid in information management.…”

Section: Introductionmentioning

confidence: 99%

Information triangulation: A complex and agentic everyday information practice

Greyson

2018

Asso for Info Science & Tech

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In contemporary urban settings, information seekers may face challenges assessing and making use of the large quantity of information to which they have access. Such challenges may be particularly acute when laypeople are considering specialized or technical information pertaining to topics over which knowledge is contested. Within a constructivist grounded theory study of the health information practices of 39 young parents in urban Canada, a complex practice of information triangulation was observed. Triangulation comprised an iterative process of seeking, assessment, and sense-making, and typically resulted in a decision or action. This paper examines the emergent concept of information triangulation in everyday life, using data from the young parent study. Triangulation processes in this study could be classified as one of four types, and functioned as an exercise of agency in the face of structures of expertise and exclusion. Although triangulation has long been described and discussed as a practice among scientific researchers wishing to validate and enrich their data, it has rarely been identified as an everyday practice in information behavior research. Future investigations should consider the use of information triangulation for other types of information, including by other populations and in other areas of contested knowledge.

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Section: Introductionmentioning

confidence: 99%

Information triangulation: A complex and agentic everyday information practice

Greyson

2018

Asso for Info Science & Tech

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“…Mengis and Eppler [28] discussed how the IO did not only focus on the quantity of information, but information characteristics (like ambiguity, novelty, or uncertainty). Therefore, they showed how information visualization is an alternative way, and information structure to characterize this qualitative dimension of overload could minimize cognitive load.…”

Section: ) Information Technologymentioning

confidence: 99%

Solution for Information Overload Using Faceted Search–A Review

et al. 2020

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In the modern society, Internet provides massive amounts of heterogeneous information, hence Information overload has become an ubiquitous issue. In this paper, we conduct a large scale quantitative study for articles dealing with (1) information overloading; (2) faceted search; and (3) filtering the data in three major databases, namely, Web of Science, ScienceDirect, and IEEE Explore. These three databases have presented 172 articles, which can be classified into four categories. The first category contains review and survey papers related to information overload. The second category includes papers that concentrate on developing theoretical frameworks to reduce information overloading. The third category contains papers dealing with improving structure or architectural of software for filtering the huge data. The fourth category includes papers that provide criteria to evaluate filtering techniques. Finally, our contribution provides further understanding of information overload, and gives an important basis for future research. Moreover, we illustrate that the dynamic faceted filters are more efficient to reduce the information overload.

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“…Although this model has shown remarkable success, for many analysts, information overload is a major concern [CAG * 06, ME12]. In many ways, today's tools fall short of their full potential.…”

Section: Introductionmentioning

confidence: 99%

Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis

Ottley

Garnett

Wan

2019

Computer Graphics Forum

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The goal of visual analytics is to create a symbiosis between human and computer by leveraging their unique strengths. While this model has demonstrated immense success, we are yet to realize the full potential of such a human‐computer partnership. In a perfect collaborative mixed‐initiative system, the computer must possess skills for learning and anticipating the users' needs. Addressing this gap, we propose a framework for inferring attention from passive observations of the user's click, thereby allowing accurate predictions of future events. We demonstrate this technique with a crime map and found that users' clicks can appear in our prediction set 92% ‐ 97% of the time. Further analysis shows that we can achieve high prediction accuracy typically after three clicks. Altogether, we show that passive observations of interaction data can reveal valuable information that will allow the system to learn and anticipate future events.

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Visualizing Instead of Overloading: Exploring the Promise and Problems of Visual Communication to Reduce Information Overload

Cited by 9 publications

References 50 publications

Information triangulation: A complex and agentic everyday information practice

Information triangulation: A complex and agentic everyday information practice

Solution for Information Overload Using Faceted Search–A Review

Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis

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