research-article

Public Access

A user-centered approach towards attention visualization for learning activities

Authors:

UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

Pages 871 - 876

https://doi.org/10.1145/3123024.3125505

Published: 11 September 2017 Publication History

PDF eReader

Abstract

Technology is changing the way that students learn. Many students learn the content of different subjects outside the classroom by watching videos on YouTube, Vimeo, Khan Academy, and other sources. Nevertheless, exams are currently the best feedback indication of how effective the student's study session was. Physiological sensors such as electroencephalography (EEG) are accurate enough for measuring attention levels for feedback during self-learning. The traditional representation of brain data is complex for everyday users to comprehend; therefore, such graphs need to be represented in the form of static visualizations for simplicity. In this paper, we describe visualizations formulated by college students in focus groups sessions to visualize attention data for feedback after completing a learning task. These visualizations help us understand user's preference and perception for representing attention, which can be implemented in future quantified-self applications and dashboards.

References

[1]

Alissandrakis, A., & Nake, I. (2016, September). A new approach for visualizing quantified self data using avatars. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (pp. 522--527). ACM.

Digital Library

Google Scholar

[2]

Szafir, D., & Mutlu, B. (2012, May). Pay attention!: designing adaptive agents that monitor and improve user engagement. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 11--20). ACM.

Digital Library

Google Scholar

[3]

Andujar, M., & Gilbert, J. E. (2013, April). Let's learn!: enhancing user's engagement levels through passive brain-computer interfaces. In CHI'13 Extended Abstracts on Human Factors in Computing Systems (pp. 703--708). ACM.

Digital Library

Google Scholar

[4]

Huang, J., Yu, C., Wang, Y., Zhao, Y., Liu, S., Mo, C., ... & Shi, Y. (2014, April). FOCUS: enhancing children's engagement in reading by using contextual BCI training sessions. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (pp. 1905--1908). ACM.

Digital Library

Google Scholar

[5]

Hassib, M., Schneegass, S., Eiglsperger, P., Henze, N., Schmidt, A., & Alt, F. (2017, May). EngageMeter: A System for Implicit Audience Engagement Sensing Using Electroencephalography. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 5114--5119). ACM.

Digital Library

Google Scholar

[6]

Epstein, D. A., Caraway, M., Johnston, C., Ping, A., Fogarty, J., & Munson, S. A. (2016, May). Beyond abandonment to next steps: understanding and designing for life after personal informatics tool use. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 1109--1113). ACM.

Digital Library

Google Scholar

Cited By

View all

Sauter MWagner THirzle TLin BRukzio EHuckauf A(2023)Behind the Screens: Exploring Eye Movement Visualization to Optimize Online Teaching and LearningProceedings of Mensch und Computer 202310.1145/3603555.3603560(67-80)Online publication date: 3-Sep-2023
https://dl.acm.org/doi/10.1145/3603555.3603560

Index Terms

A user-centered approach towards attention visualization for learning activities
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

TimeLine and visualization of multiple-data sets and the visualization querying challenge

Data in its raw form can potentially contain valuable information, but much of that value is lost if it cannot be presented to a user in a way that is useful and meaningful. Data visualization techniques offer a solution to this issue. Such methods are ...
Meta-model of information visualization based on Treemap

The interpretation and understanding of large quantities of data is a challenge for current information visualization methods. The visualization of information is important as it makes the appropriate acquisition of the information through the ...
Real-time Data Visualization of Intelligent Networked Vehicles
CNIOT '20: Proceedings of the 2020 International Conference on Computing, Networks and Internet of Things

In recent years, with the advent of the Internet of Things era of "Internet of Everything", the amount of data generated by human society has exploded. Visualization provides an intuitive, vivid, and effective way to visualize complex data in a visual ...

Comments

Information & Contributors

Information

Published In

UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

September 2017

1089 pages

ISBN:9781450351904

DOI:10.1145/3123024

General Chairs:
Seungyon "Claire" Lee
Google
,
Leila Takayama
UC Santa Cruz
,
Khai Truong
University of Toronto

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 September 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Conference

UbiComp '17

Sponsor:

UbiComp '17: The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 11 - 15, 2017

Hawaii, Maui

Acceptance Rates

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
376
Total Downloads

Downloads (Last 12 months)58
Downloads (Last 6 weeks)9

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Sauter MWagner THirzle TLin BRukzio EHuckauf A(2023)Behind the Screens: Exploring Eye Movement Visualization to Optimize Online Teaching and LearningProceedings of Mensch und Computer 202310.1145/3603555.3603560(67-80)Online publication date: 3-Sep-2023
https://dl.acm.org/doi/10.1145/3603555.3603560

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

TimeLine and visualization of multiple-data sets and the visualization querying challenge

Meta-model of information visualization based on Treemap

Real-time Data Visualization of Intelligent Networked Vehicles