Affective Feedback for a Virtual Robot in a Real-World Treasure Hunt

Mary Ellen Foster; Mei Yii Lim; Amol Deshmukh; Srinivasan Chandrasekaran Janarthanam; Helen Hastie; Ruth Aylett

doi:10.1145/2666499.2669641

Affective Feedback for a Virtual Robot in a Real-World Treasure Hunt

Mary Ellen Foster, Mei Yii Lim, Amol Deshmukh, Srinivasan Chandrasekaran Janarthanam, Helen Hastie, Ruth Aylett

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

Abstract

We explore the effect of the behaviour of a virtual robot agent in the context of a real-world treasure-hunt activity carried out by children aged 11-12. We compare three conditions: a traditional paper-based treasure hunt, along with a virtual robot on a tablet which provides either neutral or affective feedback during the treasure hunt. The initial results of the study suggest that the use of the virtual robot increased the perceived difficulty of the instruction-following task, while the affective robot feedback in particular made the questions seem more difficult to answer.

Original language	English
Title of host publication	Proceedings of the ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction
Place of Publication	United States
Publisher	ACM Association for Computing Machinery
Pages	31-32
Number of pages	2
ISBN (Print)	9781450305518
DOIs	https://doi.org/10.1145/2666499.2669641
Publication status	Published - 16 Nov 2014
Event	ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction - Istanbul , Turkey Duration: 16 Nov 2014 → …

Conference

Conference	ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction
Abbreviated title	MMRWHRI '14
Country/Territory	Turkey
City	Istanbul
Period	16/11/14 → …

Keywords / Materials (for Non-textual outputs)

intelligent tutoring systems
affective computing

Access to Document

10.1145/2666499.2669641Licence: All Rights Reserved

https://dl.acm.org/doi/10.1145/2666499.2669641Licence: All Rights Reserved

Cite this

Foster, M. E., Lim, M. Y., Deshmukh, A., Chandrasekaran Janarthanam, S., Hastie, H., & Aylett, R. (2014). Affective Feedback for a Virtual Robot in a Real-World Treasure Hunt. In Proceedings of the ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction (pp. 31-32). ACM Association for Computing Machinery. https://doi.org/10.1145/2666499.2669641

@inproceedings{2d87c05f2382475f8d8a6be8a4d2d729,

title = "Affective Feedback for a Virtual Robot in a Real-World Treasure Hunt",

abstract = "We explore the effect of the behaviour of a virtual robot agent in the context of a real-world treasure-hunt activity carried out by children aged 11-12. We compare three conditions: a traditional paper-based treasure hunt, along with a virtual robot on a tablet which provides either neutral or affective feedback during the treasure hunt. The initial results of the study suggest that the use of the virtual robot increased the perceived difficulty of the instruction-following task, while the affective robot feedback in particular made the questions seem more difficult to answer.",

keywords = "intelligent tutoring systems, affective computing",

author = "Foster, {Mary Ellen} and Lim, {Mei Yii} and Amol Deshmukh and {Chandrasekaran Janarthanam}, Srinivasan and Helen Hastie and Ruth Aylett",

year = "2014",

month = nov,

day = "16",

doi = "10.1145/2666499.2669641",

language = "English",

isbn = "9781450305518",

pages = "31--32",

booktitle = "Proceedings of the ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction",

publisher = "ACM Association for Computing Machinery",

note = "ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction, MMRWHRI '14 ; Conference date: 16-11-2014",

}

Foster, ME, Lim, MY, Deshmukh, A, Chandrasekaran Janarthanam, S, Hastie, H & Aylett, R 2014, Affective Feedback for a Virtual Robot in a Real-World Treasure Hunt. in Proceedings of the ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction. ACM Association for Computing Machinery, United States, pp. 31-32, ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction, Istanbul , Turkey, 16/11/14. https://doi.org/10.1145/2666499.2669641

Affective Feedback for a Virtual Robot in a Real-World Treasure Hunt. / Foster, Mary Ellen; Lim, Mei Yii; Deshmukh, Amol et al.
Proceedings of the ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction. United States: ACM Association for Computing Machinery, 2014. p. 31-32.

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

TY - GEN

T1 - Affective Feedback for a Virtual Robot in a Real-World Treasure Hunt

AU - Foster, Mary Ellen

AU - Lim, Mei Yii

AU - Deshmukh, Amol

AU - Chandrasekaran Janarthanam, Srinivasan

AU - Hastie, Helen

AU - Aylett, Ruth

PY - 2014/11/16

Y1 - 2014/11/16

N2 - We explore the effect of the behaviour of a virtual robot agent in the context of a real-world treasure-hunt activity carried out by children aged 11-12. We compare three conditions: a traditional paper-based treasure hunt, along with a virtual robot on a tablet which provides either neutral or affective feedback during the treasure hunt. The initial results of the study suggest that the use of the virtual robot increased the perceived difficulty of the instruction-following task, while the affective robot feedback in particular made the questions seem more difficult to answer.

AB - We explore the effect of the behaviour of a virtual robot agent in the context of a real-world treasure-hunt activity carried out by children aged 11-12. We compare three conditions: a traditional paper-based treasure hunt, along with a virtual robot on a tablet which provides either neutral or affective feedback during the treasure hunt. The initial results of the study suggest that the use of the virtual robot increased the perceived difficulty of the instruction-following task, while the affective robot feedback in particular made the questions seem more difficult to answer.

KW - intelligent tutoring systems

KW - affective computing

U2 - 10.1145/2666499.2669641

DO - 10.1145/2666499.2669641

M3 - Conference contribution

SN - 9781450305518

SP - 31

EP - 32

BT - Proceedings of the ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction

PB - ACM Association for Computing Machinery

CY - United States

T2 - ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction

Y2 - 16 November 2014

ER -

Affective Feedback for a Virtual Robot in a Real-World Treasure Hunt

Abstract

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Cite this