Towards progress assessment for adaptive hints in educational virtual reality games

Tobias Drey; Pascal Jansen; Fabian Fischbach; Julian Frommel; Enrico Rukzio

doi:10.1145/3334480.3382789

Towards progress assessment for adaptive hints in educational virtual reality games

Tobias Drey, Pascal Jansen, Fabian Fischbach, Julian Frommel, Enrico Rukzio

Multimedia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

One strength of educational games is their adaptivity to the individual learning progress. Methods to assess progress during gameplay are limited, especially in virtual reality (VR) settings, which show great potential for educational games because of their high immersion. We propose the concept of adaptive hints using progress assessment based on player behavior tracked through a VR-system's tracking capabilities. We implemented Social Engineer, a VR-based educational game teaching basic knowledge about social engineering (SE). In two user studies, we will evaluate the performance of the progress assessment and the effects of the intervention through adaptive hints on the players' experience and learning effects. This research can potentially benefit researchers and practitioners, who want to assess progress in educational games and leverage the real-time assessment for adaptive hint systems with the potential of improved player experience and learning outcomes.

Original language	English
Title of host publication	CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450368193
DOIs	https://doi.org/10.1145/3334480.3382789
Publication status	Published - 25 Apr 2020
Event	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Country/Territory	United States
City	Honolulu
Period	25/04/20 → 30/04/20

Bibliographical note

Funding Information:
This work was conducted within the project AuCity 2, funded by the Federal Ministry of Education and Research (BMBF).

Publisher Copyright:
© 2020 Owner/Author.

Funding

This work was conducted within the project AuCity 2, funded by the Federal Ministry of Education and Research (BMBF).

Keywords

Adaptive hints
Educational games
Player state assessment
Serious games
Stealth assessment
Virtual reality

Access to Document

10.1145/3334480.3382789

Cite this

Drey, T., Jansen, P., Fischbach, F., Frommel, J., & Rukzio, E. (2020). Towards progress assessment for adaptive hints in educational virtual reality games. In CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Article 3382789 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3334480.3382789

@inproceedings{7db5ee3486e84555ac759b78c62e8f83,

title = "Towards progress assessment for adaptive hints in educational virtual reality games",

abstract = "One strength of educational games is their adaptivity to the individual learning progress. Methods to assess progress during gameplay are limited, especially in virtual reality (VR) settings, which show great potential for educational games because of their high immersion. We propose the concept of adaptive hints using progress assessment based on player behavior tracked through a VR-system's tracking capabilities. We implemented Social Engineer, a VR-based educational game teaching basic knowledge about social engineering (SE). In two user studies, we will evaluate the performance of the progress assessment and the effects of the intervention through adaptive hints on the players' experience and learning effects. This research can potentially benefit researchers and practitioners, who want to assess progress in educational games and leverage the real-time assessment for adaptive hint systems with the potential of improved player experience and learning outcomes.",

keywords = "Adaptive hints, Educational games, Player state assessment, Serious games, Stealth assessment, Virtual reality",

author = "Tobias Drey and Pascal Jansen and Fabian Fischbach and Julian Frommel and Enrico Rukzio",

note = "Funding Information: This work was conducted within the project AuCity 2, funded by the Federal Ministry of Education and Research (BMBF). Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 ; Conference date: 25-04-2020 Through 30-04-2020",

year = "2020",

month = apr,

day = "25",

doi = "10.1145/3334480.3382789",

language = "English",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "Association for Computing Machinery",

booktitle = "CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems",

address = "United States",

}

Drey, T, Jansen, P, Fischbach, F, Frommel, J & Rukzio, E 2020, Towards progress assessment for adaptive hints in educational virtual reality games. in CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems., 3382789, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020, Honolulu, United States, 25/04/20. https://doi.org/10.1145/3334480.3382789

Towards progress assessment for adaptive hints in educational virtual reality games. / Drey, Tobias; Jansen, Pascal; Fischbach, Fabian et al.
CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2020. 3382789 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Towards progress assessment for adaptive hints in educational virtual reality games

AU - Drey, Tobias

AU - Jansen, Pascal

AU - Fischbach, Fabian

AU - Frommel, Julian

AU - Rukzio, Enrico

PY - 2020/4/25

Y1 - 2020/4/25

N2 - One strength of educational games is their adaptivity to the individual learning progress. Methods to assess progress during gameplay are limited, especially in virtual reality (VR) settings, which show great potential for educational games because of their high immersion. We propose the concept of adaptive hints using progress assessment based on player behavior tracked through a VR-system's tracking capabilities. We implemented Social Engineer, a VR-based educational game teaching basic knowledge about social engineering (SE). In two user studies, we will evaluate the performance of the progress assessment and the effects of the intervention through adaptive hints on the players' experience and learning effects. This research can potentially benefit researchers and practitioners, who want to assess progress in educational games and leverage the real-time assessment for adaptive hint systems with the potential of improved player experience and learning outcomes.

AB - One strength of educational games is their adaptivity to the individual learning progress. Methods to assess progress during gameplay are limited, especially in virtual reality (VR) settings, which show great potential for educational games because of their high immersion. We propose the concept of adaptive hints using progress assessment based on player behavior tracked through a VR-system's tracking capabilities. We implemented Social Engineer, a VR-based educational game teaching basic knowledge about social engineering (SE). In two user studies, we will evaluate the performance of the progress assessment and the effects of the intervention through adaptive hints on the players' experience and learning effects. This research can potentially benefit researchers and practitioners, who want to assess progress in educational games and leverage the real-time assessment for adaptive hint systems with the potential of improved player experience and learning outcomes.

KW - Adaptive hints

KW - Educational games

KW - Player state assessment

KW - Serious games

KW - Stealth assessment

KW - Virtual reality

UR - http://www.scopus.com/inward/record.url?scp=85090187709&partnerID=8YFLogxK

U2 - 10.1145/3334480.3382789

DO - 10.1145/3334480.3382789

M3 - Conference contribution

AN - SCOPUS:85090187709

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020

Y2 - 25 April 2020 through 30 April 2020

ER -

Drey T, Jansen P, Fischbach F, Frommel J, Rukzio E. Towards progress assessment for adaptive hints in educational virtual reality games. In CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2020. 3382789. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3334480.3382789

Towards progress assessment for adaptive hints in educational virtual reality games

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this