Recognition in Human–Robot Interaction: The gateway to engagement

Ingar Brinck; Christian Balkenius

doi:10.1109/DEVLRN.2019.8850691

Recognition in Human–Robot Interaction: The gateway to engagement

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

We argue that mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behaviour patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction. Recognition leads to a dynamic coupling of human and robot such that they become one system. This process can be seen from both a cognitive and normative perspective. The cognitive aspect has to do with bonding and convergence, resulting in identification and entrainment. The phenomenological aspects relates to responsiveness and complementarity that lead to mutual engagement and commitment. We propose that recognition is key to successful cooperation with robots and HRI would benefit from implementing recognition as a fundamental ability of any social robot.

Original language	English
Title of host publication	2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)
Place of Publication	Oslo
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	31-36
ISBN (Electronic)	978-1-5386-8128-2
DOIs	https://doi.org/10.1109/DEVLRN.2019.8850691
Publication status	Published - 2019
Event	IEEE ICDL-EpiRob 2019 - Oslo, Norway Duration: 2019 Aug 19 → 2019 Aug 22 Conference number: 9 https://icdl-epirob2019.org

Conference

Conference	IEEE ICDL-EpiRob 2019
Country/Territory	Norway
City	Oslo
Period	2019/08/19 → 2019/08/22
Internet address	https://icdl-epirob2019.org

Subject classification (UKÄ)

Robotics
Psychology (excluding Applied Psychology)

Free keywords

Social robots
Recognition (Psychology)
Epigenetic Robotics
Mutual Recognition
Cooperation
Commitment
Reciprocity

Access to Document

10.1109/DEVLRN.2019.8850691

AI Lund: Lund University AI Research
Åström, K., Malec, J., Larsson, S., Ohlsson, M., Balkenius, C., Dutceac Segesten, A., Haider, J., Willim, R., Ledendal, J., Aits, S., Hedlund, M., Wisbrant, J., Heiberg, E., Topp, E. A., Janneck, J., Klang, M., Brinck, I., Sundin, O., Westin, E., Blom Lussi, E. & Axhamn, J.
2018/01/01 → …
Project: Network

1 Participation in workshop/ seminar/ course
1 Media participation

AI in society seminar series
Ingar Brinck (Invited speaker)
2021 Jun 7
Activity: Participating in or organising an event › Participation in workshop/ seminar/ course
HT-samtal #96 podcast about AI and robots in society today and tomorrow
Ingar Brinck (Contributor)
2020 Mar 9
Activity: Other › Media participation

Cite this

@inproceedings{722dca05ec264f21a380b0471a5c1856,

title = "Recognition in Human–Robot Interaction: The gateway to engagement",

abstract = "We argue that mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behaviour patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction. Recognition leads to a dynamic coupling of human and robot such that they become one system. This process can be seen from both a cognitive and normative perspective. The cognitive aspect has to do with bonding and convergence, resulting in identification and entrainment. The phenomenological aspects relates to responsiveness and complementarity that lead to mutual engagement and commitment. We propose that recognition is key to successful cooperation with robots and HRI would benefit from implementing recognition as a fundamental ability of any social robot.",

keywords = "Social robots, Recognition (Psychology), Epigenetic Robotics, Mutual Recognition, Cooperation, Commitment, Reciprocity",

author = "Ingar Brinck and Christian Balkenius",

year = "2019",

doi = "10.1109/DEVLRN.2019.8850691",

language = "English",

pages = "31--36",

booktitle = "2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "IEEE ICDL-EpiRob 2019 ; Conference date: 19-08-2019 Through 22-08-2019",

url = "https://icdl-epirob2019.org",

}

Brinck, I & Balkenius, C 2019, Recognition in Human–Robot Interaction: The gateway to engagement. in 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE - Institute of Electrical and Electronics Engineers Inc., Oslo, pp. 31-36, IEEE ICDL-EpiRob 2019, Oslo, Norway, 2019/08/19. https://doi.org/10.1109/DEVLRN.2019.8850691

Recognition in Human–Robot Interaction: The gateway to engagement. / Brinck, Ingar ; Balkenius, Christian.
2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). Oslo: IEEE - Institute of Electrical and Electronics Engineers Inc., 2019. p. 31-36.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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T1 - Recognition in Human–Robot Interaction

T2 - IEEE ICDL-EpiRob 2019

AU - Brinck, Ingar

AU - Balkenius, Christian

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N2 - We argue that mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behaviour patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction. Recognition leads to a dynamic coupling of human and robot such that they become one system. This process can be seen from both a cognitive and normative perspective. The cognitive aspect has to do with bonding and convergence, resulting in identification and entrainment. The phenomenological aspects relates to responsiveness and complementarity that lead to mutual engagement and commitment. We propose that recognition is key to successful cooperation with robots and HRI would benefit from implementing recognition as a fundamental ability of any social robot.

AB - We argue that mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behaviour patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction. Recognition leads to a dynamic coupling of human and robot such that they become one system. This process can be seen from both a cognitive and normative perspective. The cognitive aspect has to do with bonding and convergence, resulting in identification and entrainment. The phenomenological aspects relates to responsiveness and complementarity that lead to mutual engagement and commitment. We propose that recognition is key to successful cooperation with robots and HRI would benefit from implementing recognition as a fundamental ability of any social robot.

KW - Social robots

KW - Recognition (Psychology)

KW - Epigenetic Robotics

KW - Mutual Recognition

KW - Cooperation

KW - Commitment

KW - Reciprocity

U2 - 10.1109/DEVLRN.2019.8850691

DO - 10.1109/DEVLRN.2019.8850691

M3 - Paper in conference proceeding

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BT - 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

CY - Oslo

Y2 - 19 August 2019 through 22 August 2019

ER -

Recognition in Human–Robot Interaction: The gateway to engagement

Abstract

Conference

Subject classification (UKÄ)

Free keywords

Access to Document

Fingerprint

Projects

AI Lund: Lund University AI Research

Activities

AI in society seminar series

HT-samtal #96 podcast about AI and robots in society today and tomorrow

Cite this