Presentation Title

Personalized Information Visualization Through the Use of Adaptive Overlays

Faculty Mentor

Ben Steichen

Start Date

23-11-2019 8:45 AM

End Date

23-11-2019 9:30 AM

Location

154

Session

poster 2

Type of Presentation

Poster

Subject Area

engineering_computer_science

Abstract

With so much information available to people, organizations, and communities, it is becoming increasingly important to address the issue of information overload. When interacting with too much information, a user can feel inundated and have difficulty extracting relevant information in a timely manner. This can lead to a decrease in productivity, loss of concentration, and even an increase in stress when attempting to extract specific pieces of information. Information visualization systems have been shown to significantly help humans deal with such large amounts of information. However, they have typically followed a one-size-fits-all model, whereby the same visualization is shown to each user, without taking into consideration an individual user’s preferences, abilities, or context. Adaptive and personalized data visualizations for each individual user are yet to be achieved.

Our research project aims to address this gap by understanding how different groups of people (e.g. people differing in terms of cognitive abilities or styles) interact and synthesize information using different visualizations, and which visualization overlays may best help different groups of people understand the underlying data. The project currently utilizes the following simple visualizations: line graphs, bar charts, and pie charts. Visualization overlays include adding data points, graph grids, as well as additional visual elements. These visualizations and aids are based on, and extending, results from prior studies involving 40 participants that found cognitive styles to have a significant influence on aid choices and preferences.

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Nov 23rd, 8:45 AM Nov 23rd, 9:30 AM

Personalized Information Visualization Through the Use of Adaptive Overlays

154

With so much information available to people, organizations, and communities, it is becoming increasingly important to address the issue of information overload. When interacting with too much information, a user can feel inundated and have difficulty extracting relevant information in a timely manner. This can lead to a decrease in productivity, loss of concentration, and even an increase in stress when attempting to extract specific pieces of information. Information visualization systems have been shown to significantly help humans deal with such large amounts of information. However, they have typically followed a one-size-fits-all model, whereby the same visualization is shown to each user, without taking into consideration an individual user’s preferences, abilities, or context. Adaptive and personalized data visualizations for each individual user are yet to be achieved.

Our research project aims to address this gap by understanding how different groups of people (e.g. people differing in terms of cognitive abilities or styles) interact and synthesize information using different visualizations, and which visualization overlays may best help different groups of people understand the underlying data. The project currently utilizes the following simple visualizations: line graphs, bar charts, and pie charts. Visualization overlays include adding data points, graph grids, as well as additional visual elements. These visualizations and aids are based on, and extending, results from prior studies involving 40 participants that found cognitive styles to have a significant influence on aid choices and preferences.