Hey, wake up: Come alongwith the artificial learning companion to the e-learner's outcomes high!

Hyun Young Kim; Bomyeong Kim; Jeehang Lee; Jinwoo Kim

doi:10.1145/3027063.3053123

Hey, wake up: Come alongwith the artificial learning companion to the e-learner's outcomes high!

Hyun Young Kim, Bomyeong Kim, Jeehang Lee, Jinwoo Kim

Department of Business Administration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Compared to offline learners, online learners' attitude during the learning process is relatively poor, and a feeling of loneliness is entailed as they often study alone. This results in a low learning outcome. So far, no examples exist for the design of a learning companion to this end. Herein we present a pioneering work on a co-existing, artificial learning companion capable of improving the learner's attitude through sleepiness detection. We capture, analyze and estimate the level of sleepiness employing a machine learning technique with the pilot study data. Then, we propose a prototype called LearniCube using a sleepiness detection model with an experimental evaluation of LearniCube.

Original language	English
Title of host publication	CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Explore, Innovate, Inspire
Publisher	Association for Computing Machinery
Pages	1763-1770
Number of pages	8
ISBN (Electronic)	9781450346566
DOIs	https://doi.org/10.1145/3027063.3053123
Publication status	Published - 2017 May 6
Event	2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States Duration: 2017 May 6 → 2017 May 11

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	Part F127655

Other

Other	2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
Country/Territory	United States
City	Denver
Period	17/5/6 → 17/5/11

Bibliographical note

Funding Information:
We thank Jioon Park and Mincheol Shin who provided helpful comments on the prototype. This research was supported by the MSIP, Korea, under the G-ITRC support program (IITP-2017-R6812-15-0001) supervised by the IITP. This research was supported by the Ministry of Education(NRF-2016R1D1A1B02015987).

Publisher Copyright:
Copyright © 2017 by the Association for Computing Machinery, Inc. (ACM).

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction
Computer Graphics and Computer-Aided Design

Access to Document

10.1145/3027063.3053123

Cite this

Kim, H. Y., Kim, B., Lee, J., & Kim, J. (2017). Hey, wake up: Come alongwith the artificial learning companion to the e-learner's outcomes high! In CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire (pp. 1763-1770). (Conference on Human Factors in Computing Systems - Proceedings; Vol. Part F127655). Association for Computing Machinery. https://doi.org/10.1145/3027063.3053123

Kim, Hyun Young ; Kim, Bomyeong ; Lee, Jeehang et al. / Hey, wake up : Come alongwith the artificial learning companion to the e-learner's outcomes high!. CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, 2017. pp. 1763-1770 (Conference on Human Factors in Computing Systems - Proceedings).

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abstract = "Compared to offline learners, online learners' attitude during the learning process is relatively poor, and a feeling of loneliness is entailed as they often study alone. This results in a low learning outcome. So far, no examples exist for the design of a learning companion to this end. Herein we present a pioneering work on a co-existing, artificial learning companion capable of improving the learner's attitude through sleepiness detection. We capture, analyze and estimate the level of sleepiness employing a machine learning technique with the pilot study data. Then, we propose a prototype called LearniCube using a sleepiness detection model with an experimental evaluation of LearniCube.",

author = "Kim, {Hyun Young} and Bomyeong Kim and Jeehang Lee and Jinwoo Kim",

note = "Funding Information: We thank Jioon Park and Mincheol Shin who provided helpful comments on the prototype. This research was supported by the MSIP, Korea, under the G-ITRC support program (IITP-2017-R6812-15-0001) supervised by the IITP. This research was supported by the Ministry of Education(NRF-2016R1D1A1B02015987). Publisher Copyright: Copyright {\textcopyright} 2017 by the Association for Computing Machinery, Inc. (ACM).; 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 ; Conference date: 06-05-2017 Through 11-05-2017",

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language = "English",

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Kim, HY, Kim, B, Lee, J & Kim, J 2017, Hey, wake up: Come alongwith the artificial learning companion to the e-learner's outcomes high! in CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Conference on Human Factors in Computing Systems - Proceedings, vol. Part F127655, Association for Computing Machinery, pp. 1763-1770, 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017, Denver, United States, 17/5/6. https://doi.org/10.1145/3027063.3053123

Hey, wake up : Come alongwith the artificial learning companion to the e-learner's outcomes high! / Kim, Hyun Young; Kim, Bomyeong; Lee, Jeehang et al.

CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, 2017. p. 1763-1770 (Conference on Human Factors in Computing Systems - Proceedings; Vol. Part F127655).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Kim HY, Kim B, Lee J, Kim J. Hey, wake up: Come alongwith the artificial learning companion to the e-learner's outcomes high! In CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery. 2017. p. 1763-1770. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3027063.3053123

Hey, wake up: Come alongwith the artificial learning companion to the e-learner's outcomes high!

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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