Individual Squash Training is More Effective and Social with a Humanoid Robotic Coach

Martin K. Ross; Frank Broz; Lynne Baillie

doi:10.1109/ro-man57019.2023.10309567

Individual Squash Training is More Effective and Social with a Humanoid Robotic Coach

Martin K. Ross, Frank Broz, Lynne Baillie

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

1 Citation (Scopus)

Abstract

With the aim of providing extra motivation to adhere to repetitive, individual sports training, this paper presents an autonomous robotic squash coach capable of high-level personalisation. The system was evaluated in person with 16 participants each conducting three 15-minute solo practice sessions. We compared a baseline, non-coaching robotic condition to two conditions in which the robot executed one of 12 different coaching policies, each of which was based on human coaching data. In one of the coaching conditions, the policy was selected based on categories for personalisation and in the other it was selected randomly among policies. The coaching policy conditions were found to be more enjoyable, more socially competent, and perceived as a more effective coach than the baseline.

Original language	English
Title of host publication	32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Publisher	IEEE
ISBN (Electronic)	9798350336702
DOIs	https://doi.org/10.1109/ro-man57019.2023.10309567
Publication status	Published - 13 Nov 2023
Event	32nd IEEE International Conference on Robot and Human Interactive Communication 2023 - Paradise Hotel, Busan, Korea, Republic of Duration: 28 Aug 2023 → 31 Aug 2023 Conference number: 32 https://ro-man2023.org/

Conference

Conference	32nd IEEE International Conference on Robot and Human Interactive Communication 2023
Abbreviated title	IEEE RO-MAN 2023
Country/Territory	Korea, Republic of
City	Busan
Period	28/08/23 → 31/08/23
Internet address	https://ro-man2023.org/

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10.1109/ro-man57019.2023.10309567

Cite this

@inproceedings{688d56c0a55b491fb1db0524480a1ae7,

title = "Individual Squash Training is More Effective and Social with a Humanoid Robotic Coach",

abstract = "With the aim of providing extra motivation to adhere to repetitive, individual sports training, this paper presents an autonomous robotic squash coach capable of high-level personalisation. The system was evaluated in person with 16 participants each conducting three 15-minute solo practice sessions. We compared a baseline, non-coaching robotic condition to two conditions in which the robot executed one of 12 different coaching policies, each of which was based on human coaching data. In one of the coaching conditions, the policy was selected based on categories for personalisation and in the other it was selected randomly among policies. The coaching policy conditions were found to be more enjoyable, more socially competent, and perceived as a more effective coach than the baseline.",

author = "Ross, {Martin K.} and Frank Broz and Lynne Baillie",

year = "2023",

month = nov,

day = "13",

doi = "10.1109/ro-man57019.2023.10309567",

language = "English",

booktitle = "32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)",

publisher = "IEEE",

address = "United States",

note = "32nd IEEE International Conference on Robot and Human Interactive Communication 2023, IEEE RO-MAN 2023 ; Conference date: 28-08-2023 Through 31-08-2023",

url = "https://ro-man2023.org/",

}

Ross, MK, Broz, F & Baillie, L 2023, Individual Squash Training is More Effective and Social with a Humanoid Robotic Coach. in 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)., 10309567, IEEE, 32nd IEEE International Conference on Robot and Human Interactive Communication 2023, Busan, Korea, Republic of, 28/08/23. https://doi.org/10.1109/ro-man57019.2023.10309567

TY - GEN

T1 - Individual Squash Training is More Effective and Social with a Humanoid Robotic Coach

AU - Ross, Martin K.

AU - Broz, Frank

AU - Baillie, Lynne

N1 - Conference code: 32

PY - 2023/11/13

Y1 - 2023/11/13

N2 - With the aim of providing extra motivation to adhere to repetitive, individual sports training, this paper presents an autonomous robotic squash coach capable of high-level personalisation. The system was evaluated in person with 16 participants each conducting three 15-minute solo practice sessions. We compared a baseline, non-coaching robotic condition to two conditions in which the robot executed one of 12 different coaching policies, each of which was based on human coaching data. In one of the coaching conditions, the policy was selected based on categories for personalisation and in the other it was selected randomly among policies. The coaching policy conditions were found to be more enjoyable, more socially competent, and perceived as a more effective coach than the baseline.

AB - With the aim of providing extra motivation to adhere to repetitive, individual sports training, this paper presents an autonomous robotic squash coach capable of high-level personalisation. The system was evaluated in person with 16 participants each conducting three 15-minute solo practice sessions. We compared a baseline, non-coaching robotic condition to two conditions in which the robot executed one of 12 different coaching policies, each of which was based on human coaching data. In one of the coaching conditions, the policy was selected based on categories for personalisation and in the other it was selected randomly among policies. The coaching policy conditions were found to be more enjoyable, more socially competent, and perceived as a more effective coach than the baseline.

U2 - 10.1109/ro-man57019.2023.10309567

DO - 10.1109/ro-man57019.2023.10309567

M3 - Conference contribution

BT - 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

PB - IEEE

T2 - 32nd IEEE International Conference on Robot and Human Interactive Communication 2023

Y2 - 28 August 2023 through 31 August 2023

ER -

Individual Squash Training is More Effective and Social with a Humanoid Robotic Coach

Abstract

Conference

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