Project Description

News organizations and companies across the world are investing much into developing interactive data visualizations. Yet we know little about what viewers actually do and experience when they interact with these visualizations. Fortunately, there are new technologies, such as webcam libraries that calculate a person’s emotional state in real-time, that might shed light on what people experience during interaction. This project will address the technical and design challenges of instrumenting interactive visualizations with emotion-capture software, combining this data with interaction logging, and visualizing peoples’ interaction+emotion sequences for creators to learn about how people use the interactive visualizations they create.

Goals

– Develop visualizations for emotion and interaction data extracted from an existing set of visualizations (e.g. from news orgs).
– Identify design constraints and tasks for what creators can do with interaction and emotion data extracted from audiences that view their visualizations.
– Develop a general visualization tool for emotion and interaction data extracted from any visualization.

Constraints

– Privacy of the audience is a primary concern. It should not be possible for creators to identify specific audience members that use their visualizations.

Impact

– Many news organizations and companies would benefit from tools that help them understand how audiences are using the interactive visualizations they create.

Resources

This project will require: web programming, design, data-manipulation (e.g. python, R, javascript), visualization

Group Summary

This proposal requires a way to document the emotional reactions that consumers have to interactive data visualizations, using some pre-existing tools like webcam libraries. This data will then be turned into our own visualization for the client to use. We will be integrating many existing technologies and applying them to data visualization analytics.

Identified Pains

Adapting to using the proposed webcam technologies.

Creating Data Visualization.

Calculating emotional state in real time.

Privacy concerns (via the webcam tech)

Proposed Problem Description

Companies across the country and world are spending millions of dollars improving their advertising presence to stay relevant against their competition. One way they do this is by creating interactive data visualizations. However, there currently exists no ideal way for these companies to understand the impact their expensive visualizations are having on consumers. Your objective is to solve this problem by creating a way to understand consumer trends based on interactive data visualizations. There exists webcam technologies that can capture users’ emotional reactions to what they are viewing in real time. Using this tech, gather data and compile it into a visualization of your own that can be given back to the creators of the original interactive data visualizations in order to help them understand the emotional impact of their ads and how to best improve them.

 

Proposed Goals

Harvest people’s reactions to existing interactive data visualizations.

Display our results in a way that is clear and beneficial to said creators, allowing them to easily understand how to make changes to their visualizations.

Increase margins for creators of these expensive data visualizations.

Contributors

Lucas, Dunni, Jordan, Cole

 

Brainstorm/Summary

https://docs.google.com/a/bucknell.edu/spreadsheets/d/1–9di1IeMjs4_8kiLOXaYCG_8SF1MnWnlxidHrTgRrk/edit?usp=sharing

  • Make a horror game that changes the story as you go based on your emotions
    • Data taken through webcam, or body sensors, or both
  • Build a platform for collecting emotional profiles of users
  • Create an AI that can identify how people will react based on visualizations/stimulus

 

Individual Proposals

Allan La: https://docs.google.com/a/bucknell.edu/document/d/1ZPj6gBMvQFTAua8L3n-IV84EhrOAs85ZUNU3arn5IWM/edit?usp=sharing 

Levi Adair
Lukas Munoz
Brooke Bullek

Eric Marshall

Benjamin Matase

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Published by lrg006

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