Long-Term Feedback Mechanisms for Robotic Assisted Indoor Cycling Training

Sebastian Schneider; Luise Süssenbach; Ingmar Berger; Franz Kummert

doi:10.1145/2814940.2814962

Long-Term Feedback Mechanisms for Robotic Assisted Indoor Cycling Training

Sebastian Schneider
, Luise Süssenbach
, Ingmar Berger
, Franz Kummert

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

5 Citations (Scopus)

Abstract

We present a concept for long-term feedback during robot assisted indoor cycling training. Our feedback model captures different aspects from sport motivation theory. Furthermore, we present our designed measurements to evaluate the robot's persuasiveness and user's compliance. We conducted an intensive 18-day isolation study in two campaigns (e.g. socially assistive robot vs. display instructed, n=16) in cooperation with the German Aerospace Center. The results show that users tend to comply to the robot's instructions and that there is a significant difference in compliance between the two conditions.

Original language	English
Title of host publication	HAI '15
Subtitle of host publication	Proceedings of the 3rd International Conference on Human-Agent Interaction
Publisher	ACM Publishing
Pages	157–164
Number of pages	8
ISBN (Print)	978-1-4503-3527-0
DOIs	https://doi.org/10.1145/2814940.2814962
Publication status	Published - 21 Oct 2015
Externally published	Yes
Event	3rd International Conference on Human-Agent Interaction, HAI 2015 - Daegu, Korea, Republic of Duration: 21 Oct 2015 → 24 Oct 2015 Conference number: 3

Conference

Conference	3rd International Conference on Human-Agent Interaction, HAI 2015
Abbreviated title	HAI
Country/Territory	Korea, Republic of
City	Daegu
Period	21/10/15 → 24/10/15

Keywords

Applied computing
Life and medical sciences
Consumer health
Health informatics
Computing methodologies
Artificial intelligence
n/a OA procedure

Access to Document

10.1145/2814940.2814962

Cite this

@inproceedings{55547820676d49cab05f1d10f571965f,

title = "Long-Term Feedback Mechanisms for Robotic Assisted Indoor Cycling Training",

abstract = "We present a concept for long-term feedback during robot assisted indoor cycling training. Our feedback model captures different aspects from sport motivation theory. Furthermore, we present our designed measurements to evaluate the robot's persuasiveness and user's compliance. We conducted an intensive 18-day isolation study in two campaigns (e.g. socially assistive robot vs. display instructed, n=16) in cooperation with the German Aerospace Center. The results show that users tend to comply to the robot's instructions and that there is a significant difference in compliance between the two conditions.",

keywords = "Applied computing, Life and medical sciences, Consumer health, Health informatics, Computing methodologies, Artificial intelligence, n/a OA procedure",

author = "Sebastian Schneider and Luise S{\"u}ssenbach and Ingmar Berger and Franz Kummert",

year = "2015",

month = oct,

day = "21",

doi = "10.1145/2814940.2814962",

language = "English",

isbn = "978-1-4503-3527-0",

pages = "157–164",

booktitle = "HAI '15",

publisher = "ACM Publishing",

note = "3rd International Conference on Human-Agent Interaction, HAI 2015, HAI ; Conference date: 21-10-2015 Through 24-10-2015",

}

Schneider, S, Süssenbach, L, Berger, I & Kummert, F 2015, Long-Term Feedback Mechanisms for Robotic Assisted Indoor Cycling Training. in HAI '15: Proceedings of the 3rd International Conference on Human-Agent Interaction. ACM Publishing, pp. 157–164, 3rd International Conference on Human-Agent Interaction, HAI 2015, Daegu, Korea, Republic of, 21/10/15. https://doi.org/10.1145/2814940.2814962

Long-Term Feedback Mechanisms for Robotic Assisted Indoor Cycling Training. / Schneider, Sebastian; Süssenbach, Luise; Berger, Ingmar et al.
HAI '15: Proceedings of the 3rd International Conference on Human-Agent Interaction. ACM Publishing, 2015. p. 157–164.

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

TY - GEN

T1 - Long-Term Feedback Mechanisms for Robotic Assisted Indoor Cycling Training

AU - Schneider, Sebastian

AU - Süssenbach, Luise

AU - Berger, Ingmar

AU - Kummert, Franz

N1 - Conference code: 3

PY - 2015/10/21

Y1 - 2015/10/21

N2 - We present a concept for long-term feedback during robot assisted indoor cycling training. Our feedback model captures different aspects from sport motivation theory. Furthermore, we present our designed measurements to evaluate the robot's persuasiveness and user's compliance. We conducted an intensive 18-day isolation study in two campaigns (e.g. socially assistive robot vs. display instructed, n=16) in cooperation with the German Aerospace Center. The results show that users tend to comply to the robot's instructions and that there is a significant difference in compliance between the two conditions.

AB - We present a concept for long-term feedback during robot assisted indoor cycling training. Our feedback model captures different aspects from sport motivation theory. Furthermore, we present our designed measurements to evaluate the robot's persuasiveness and user's compliance. We conducted an intensive 18-day isolation study in two campaigns (e.g. socially assistive robot vs. display instructed, n=16) in cooperation with the German Aerospace Center. The results show that users tend to comply to the robot's instructions and that there is a significant difference in compliance between the two conditions.

KW - Applied computing

KW - Life and medical sciences

KW - Consumer health

KW - Health informatics

KW - Computing methodologies

KW - Artificial intelligence

KW - n/a OA procedure

UR - https://pub.uni-bielefeld.de/publication/2787035

U2 - 10.1145/2814940.2814962

DO - 10.1145/2814940.2814962

M3 - Conference contribution

SN - 978-1-4503-3527-0

SP - 157

EP - 164

BT - HAI '15

PB - ACM Publishing

T2 - 3rd International Conference on Human-Agent Interaction, HAI 2015

Y2 - 21 October 2015 through 24 October 2015

ER -

Long-Term Feedback Mechanisms for Robotic Assisted Indoor Cycling Training

Abstract

Conference

Keywords

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