Carrot or Stick: The Effect of Reward and Punishment in Robot Assisted Language Learning

Mirjam de Haas; Rianne Conijn

doi:10.1145/3371382.3378349

Carrot or Stick: The Effect of Reward and Punishment in Robot Assisted Language Learning

Mirjam de Haas, Rianne Conijn

Cognitive Science & AI

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

Abstract

Feedback plays an important role in language learning. However, limited research can be found on the influence of feedback in robot-assisted language learning. Therefore, this study aims to identify the effects of robot-feedback on learning gain, motivation, and anthropomorphism. In total, 60 students participated in a language learning task, with a robot using one of three feedback conditions: reward, punishment, and no feedback. The results showed that feedback only affected learning gain: students learned more with punishment, followed by reward, compared to no feedback. Thus, our results underscore the importance of feedback in RALL.

Original language	English
Title of host publication	Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery
Pages	177–179
ISBN (Print)	9781450370578
DOIs	https://doi.org/10.1145/3371382.3378349
Publication status	Published - 2020
Event	Human Robot Interaction 2020: ACM/IEEE International Conference on Human-Robot Interaction - Fitzwilliam College, Cambridge, United Kingdom Duration: 23 Mar 2020 → 26 Mar 2020 Conference number: 15 http://humanrobotinteraction.org/2020/

Publication series

Name	HRI '20
Publisher	Association for Computing Machinery

Conference

Conference	Human Robot Interaction 2020
Abbreviated title	HRI2020
Country	United Kingdom
City	Cambridge
Period	23/03/20 → 26/03/20
Internet address	http://humanrobotinteraction.org/2020/

Keywords

feedback
foreign language learning
robot tutoring

Access to Document

10.1145/3371382.3378349

https://doi.org/10.1145/3371382.3378349

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Cite this

@inproceedings{ddf0e606831d4c109386e8771daff823,

title = "Carrot or Stick: The Effect of Reward and Punishment in Robot Assisted Language Learning",

abstract = "Feedback plays an important role in language learning. However, limited research can be found on the influence of feedback in robot-assisted language learning. Therefore, this study aims to identify the effects of robot-feedback on learning gain, motivation, and anthropomorphism. In total, 60 students participated in a language learning task, with a robot using one of three feedback conditions: reward, punishment, and no feedback. The results showed that feedback only affected learning gain: students learned more with punishment, followed by reward, compared to no feedback. Thus, our results underscore the importance of feedback in RALL.",

keywords = "feedback, foreign language learning, robot tutoring",

author = "{de Haas}, Mirjam and Rianne Conijn",

year = "2020",

doi = "10.1145/3371382.3378349",

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isbn = "9781450370578",

series = "HRI '20",

publisher = "Association for Computing Machinery",

pages = "177–179",

booktitle = "Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction",

note = "Human Robot Interaction 2020 : ACM/IEEE International Conference on Human-Robot Interaction, HRI2020 ; Conference date: 23-03-2020 Through 26-03-2020",

url = "http://humanrobotinteraction.org/2020/",

}

de Haas, M & Conijn, R 2020, Carrot or Stick: The Effect of Reward and Punishment in Robot Assisted Language Learning. in Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. HRI '20, Association for Computing Machinery, New York, NY, USA, pp. 177–179, Human Robot Interaction 2020, Cambridge, United Kingdom, 23/03/20. https://doi.org/10.1145/3371382.3378349

Carrot or Stick : The Effect of Reward and Punishment in Robot Assisted Language Learning. / de Haas, Mirjam; Conijn, Rianne.

Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA : Association for Computing Machinery, 2020. p. 177–179 (HRI '20).

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

TY - GEN

T1 - Carrot or Stick

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AU - de Haas, Mirjam

AU - Conijn, Rianne

N1 - Conference code: 15

PY - 2020

Y1 - 2020

N2 - Feedback plays an important role in language learning. However, limited research can be found on the influence of feedback in robot-assisted language learning. Therefore, this study aims to identify the effects of robot-feedback on learning gain, motivation, and anthropomorphism. In total, 60 students participated in a language learning task, with a robot using one of three feedback conditions: reward, punishment, and no feedback. The results showed that feedback only affected learning gain: students learned more with punishment, followed by reward, compared to no feedback. Thus, our results underscore the importance of feedback in RALL.

AB - Feedback plays an important role in language learning. However, limited research can be found on the influence of feedback in robot-assisted language learning. Therefore, this study aims to identify the effects of robot-feedback on learning gain, motivation, and anthropomorphism. In total, 60 students participated in a language learning task, with a robot using one of three feedback conditions: reward, punishment, and no feedback. The results showed that feedback only affected learning gain: students learned more with punishment, followed by reward, compared to no feedback. Thus, our results underscore the importance of feedback in RALL.

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KW - foreign language learning

KW - robot tutoring

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DO - 10.1145/3371382.3378349

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BT - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

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