University of Hertfordshire

By the same authors

Standard

Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration. / Koay, Kheng; Syrdal, Dag Sverre; Dautenhahn, Kerstin.

2016. 809-816 Paper presented at IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)2016, New York City, United States.

Research output: Contribution to conferencePaper

Harvard

Koay, K, Syrdal, DS & Dautenhahn, K 2016, 'Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration', Paper presented at IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)2016, New York City, United States, 26/08/16 - 31/08/16 pp. 809-816. https://doi.org/10.1109/ROMAN.2016.7745212

APA

Koay, K., Syrdal, D. S., & Dautenhahn, K. (2016). Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration. 809-816. Paper presented at IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)2016, New York City, United States. https://doi.org/10.1109/ROMAN.2016.7745212

Vancouver

Koay K, Syrdal DS, Dautenhahn K. Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration. 2016. Paper presented at IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)2016, New York City, United States. https://doi.org/10.1109/ROMAN.2016.7745212

Author

Koay, Kheng ; Syrdal, Dag Sverre ; Dautenhahn, Kerstin. / Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration. Paper presented at IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)2016, New York City, United States.7 p.

Bibtex

@conference{ecccfd7dac2c4bd09293b29e19171d80,
title = "Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration",
abstract = "This paper examines participants{\textquoteright} experiences of interacting with a robotic companion (agent) that has the ability to move its “mind” between different robotic embodiments to take advantage of the features and functionalities associated with the different embodiments in a process called agent migration. In particular, we focus on identifying factors that can help the companion retain its identity in different embodiments. This includes examining the clarity of the migration behaviour and how this behaviour may contribute to identity retention. Nine participants took part in a long-term study, and interacted with the robotic companion in the smart house twice-weekly over a period of 5 weeks. We used Narrative-based Integrated Episodic Scenario (NIES) framework for designing long-term interaction scenarios that provided habituation and intervention phases while conveying the impression of continuous long-term interaction. The results show that NEIS allows us to explore complex intervention scenarios and obtain a sense of continuity of context across the long-term study. The results also suggest that as participants become habituated with the companion, they found the realisation of migration signaling clearer, and felt more certain of the identity of the companion in later sessions, and that the most important factor for this was the agent{\textquoteright}s continuation of tasks across embodiments. This paper is both empirical as well as methodological in nature.",
author = "Kheng Koay and Syrdal, {Dag Sverre} and Kerstin Dautenhahn",
note = "Kheng Koay, Dag Sverre Syrdal and Kerstin Dautenhahn, 'Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration', paper presented at the IEEE International Symposium . Columbia University, New York City, New York, USA, 26-31 August 2016.; IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)2016, RO-MAN 2016 ; Conference date: 26-08-2016 Through 31-08-2016",
year = "2016",
month = aug,
day = "26",
doi = "10.1109/ROMAN.2016.7745212",
language = "English",
pages = "809--816",

}

RIS

TY - CONF

T1 - Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration

AU - Koay, Kheng

AU - Syrdal, Dag Sverre

AU - Dautenhahn, Kerstin

N1 - Kheng Koay, Dag Sverre Syrdal and Kerstin Dautenhahn, 'Prototyping Realistic Long-Term Human-Robot Interaction for the Study of Agent Migration', paper presented at the IEEE International Symposium . Columbia University, New York City, New York, USA, 26-31 August 2016.

PY - 2016/8/26

Y1 - 2016/8/26

N2 - This paper examines participants’ experiences of interacting with a robotic companion (agent) that has the ability to move its “mind” between different robotic embodiments to take advantage of the features and functionalities associated with the different embodiments in a process called agent migration. In particular, we focus on identifying factors that can help the companion retain its identity in different embodiments. This includes examining the clarity of the migration behaviour and how this behaviour may contribute to identity retention. Nine participants took part in a long-term study, and interacted with the robotic companion in the smart house twice-weekly over a period of 5 weeks. We used Narrative-based Integrated Episodic Scenario (NIES) framework for designing long-term interaction scenarios that provided habituation and intervention phases while conveying the impression of continuous long-term interaction. The results show that NEIS allows us to explore complex intervention scenarios and obtain a sense of continuity of context across the long-term study. The results also suggest that as participants become habituated with the companion, they found the realisation of migration signaling clearer, and felt more certain of the identity of the companion in later sessions, and that the most important factor for this was the agent’s continuation of tasks across embodiments. This paper is both empirical as well as methodological in nature.

AB - This paper examines participants’ experiences of interacting with a robotic companion (agent) that has the ability to move its “mind” between different robotic embodiments to take advantage of the features and functionalities associated with the different embodiments in a process called agent migration. In particular, we focus on identifying factors that can help the companion retain its identity in different embodiments. This includes examining the clarity of the migration behaviour and how this behaviour may contribute to identity retention. Nine participants took part in a long-term study, and interacted with the robotic companion in the smart house twice-weekly over a period of 5 weeks. We used Narrative-based Integrated Episodic Scenario (NIES) framework for designing long-term interaction scenarios that provided habituation and intervention phases while conveying the impression of continuous long-term interaction. The results show that NEIS allows us to explore complex intervention scenarios and obtain a sense of continuity of context across the long-term study. The results also suggest that as participants become habituated with the companion, they found the realisation of migration signaling clearer, and felt more certain of the identity of the companion in later sessions, and that the most important factor for this was the agent’s continuation of tasks across embodiments. This paper is both empirical as well as methodological in nature.

U2 - 10.1109/ROMAN.2016.7745212

DO - 10.1109/ROMAN.2016.7745212

M3 - Paper

SP - 809

EP - 816

T2 - IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)2016

Y2 - 26 August 2016 through 31 August 2016

ER -