skip to main content
10.1145/3384419.3430428acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
short-paper

Towards recognizing perceived level of understanding for online lectures using earables: poster abstract

Published: 16 November 2020 Publication History

Abstract

We envision that our earbuds recognize how much we understand learning materials while taking online lectures for effective learning and teaching, e.g., to pinpoint the part for which we need to put more effort to learn. To this end, we explore the feasibility of recognizing the perceived level of understanding of online learners based on IMU sensor data from earbuds. We present an exploratory study to identify head-related behaviors that can be detected by in-ear IMU data, which are associated with the perceived level of understanding for online lectures.

References

[1]
Davide Figo, Pedro C Diniz, Diogo R Ferreira, and Joao MP Cardoso. 2010. Preprocessing techniques for context recognition from accelerometer data. Personal and Ubiquitous Computing 14, 7 (2010), 645--662.
[2]
Fahim Kawsar, Chulhong Min, Akhil Mathur, and Alesandro Montanari. 2018. Earables for personal-scale behavior analytics. IEEE Pervasive Computing 17, 3 (2018), 83--89.
[3]
David R Krathwohl. 2002. A revision of Bloom's taxonomy: An overview. Theory into practice 41, 4 (2002), 212--218.

Cited By

View all
  • (2022)ToothSonicProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346066:2(1-24)Online publication date: 7-Jul-2022
  • (2021)Towards Automatic Recognition of Perceived Level of Understanding on Online Lectures using EarablesAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479323(158-164)Online publication date: 21-Sep-2021

Index Terms

  1. Towards recognizing perceived level of understanding for online lectures using earables: poster abstract

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
      November 2020
      852 pages
      ISBN:9781450375900
      DOI:10.1145/3384419
      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]

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 16 November 2020

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. head motions and postures
      2. online learning
      3. recognition
      4. understanding level

      Qualifiers

      • Short-paper

      Conference

      Acceptance Rates

      Overall Acceptance Rate 198 of 990 submissions, 20%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)6
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 17 Feb 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2022)ToothSonicProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346066:2(1-24)Online publication date: 7-Jul-2022
      • (2021)Towards Automatic Recognition of Perceived Level of Understanding on Online Lectures using EarablesAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479323(158-164)Online publication date: 21-Sep-2021

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media