Analyzing Attention Allocation in Virtual Meetings Through Ear-EEG and Eye Tracking Technologies

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Thesis

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Karlsruhe

Analyzing Attention Allocation in Virtual Meetings Through Ear-EEG and Eye Tracking Technologies

Kollegiengebäude am Kronenplatz (05.20), das ISSD befindet sich in der Triangel im 4. und 5. OG
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Immediately searched (unlimited)
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35–40 h per week
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No salary specified
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Master Thesis  Are you still there? – Analyzing Attention Allocation in Virtual Meetings Through Ear-EEG and Eye Tracking Technologies. WHO CAN APPLY? Only enrolled students from KIT (Karlsruher Institut für Technologie) with course of studies Wirtschaftsinformatik, Wirtschaftsingenieurwesen, Informationswirtschaft, or Technische Volkswirtschaftslehre.
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Problem

Humans have limited attentional resources and cannot process all available information around them. For example, while attending a presentation, there is a need to distribute attentional resources to what the speaker is talking about as well as the visual content on the presented slides. Having proper attention allocation is essential to follow and understand the presentation content. However, the attention allocation process is especially challenged in virtual meetings. Since presentations in remote meetings are becoming omnipresent due to social distancing triggered by COVID-19, it is of highest importance to better understand how attention allocation processes differ between physical and online meetings. Understanding how people manage their limited attentional can help design innovative meeting attention management solutions. As a foundation for designing such solutions, this research will focus on methods of continuous tracing of attentional foci through ear-EEG and eye-tracking methods.

Occupational fields

Data Analyst (m/w/d)

Data Analytics

Financial Planning & Analysis (FP&A) and Controlling

Tech

Finance

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Goals

  • A better understanding of users attention allocation in physical and virtual meetings:
  • Investigate the current state of the art in attention tracking applications with EEG and eye trackers
  • Design an experiment to collect relevant eye data
  • Evaluate user's attention from the collected data

Agile Working

Regular Feedback Meetings

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Requirements

  • Strong time management and communication skills
  • Strong analytical skills
  • Have some programming skills and high motivation to improve programming skills (e.g, Python and R)
  • Interest in working with cutting age technologies
  • Good German and English skills

All levels welcome (no experience required)

Languages

German

English

Skill set

Kommunikative Kompetenz

Python

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About ISSD - KIT

The research group “Information Systems & Service Design” (ISSD) headed by Prof. Mädche focuses in research, education, and innovation on designing interactive intelligent systems. The research belongs to the Institute of Information Systems and Marketing (IISM) and is embedded into the Information Systems & Engineering group. ISSD is also part of the Karlsruhe Service Research Institute (KSRI). The research group is positioned at the intersection of Information Systems (german: Wirtschaftsinformatik) and Human-Computer Interaction (HCI). Our mission is to create impactful scientific knowledge for designing interactive intelligent systems that enable humans to perform activities more efficiently, effectively, and meaningful. We believe that delivering cutting-edge knowledge and inspiring education, as well as an ongoing dialog with the public need to go hand in hand to maximize the impact of our work in organizations and society. The group is organized in three research departments: Digital Experience & Participation, Intelligent Enterprise Systems, and Digital Service Design & Innovation. Current topics of research are Human-AI Interaction, Cognitive Interaction Technologies, Physiological Computing Systems, Interactive Business Intelligence & Analytics Systems, and Interactive Systems Engineering.

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Founded in 1825
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500-999 employees
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