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Recognition in Human–Robot Interaction : The gateway to engagement

Brinck, Ingar LU and Balkenius, Christian LU (2019) IEEE ICDL-EpiRob 2019 p.31-36
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Social robots, Recognition (Psychology), Epigenetic Robotics, Mutual Recognition, Cooperation, Commitment, Reciprocity
host publication
2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)
pages
31 - 36
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE ICDL-EpiRob 2019
conference location
Oslo, Norway
conference dates
2019-08-19 - 2019-08-22
external identifiers
  • scopus:85073694752
ISBN
978-1-5386-8128-2
DOI
10.1109/DEVLRN.2019.8850691
project
Lund University AI Research
language
English
LU publication?
yes
id
722dca05-ec26-4f21-a380-b0471a5c1856
date added to LUP
2019-05-06 16:38:17
date last changed
2021-06-09 15:50:30
@inproceedings{722dca05-ec26-4f21-a380-b0471a5c1856,
  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.},
  author       = {Brinck, Ingar and Balkenius, Christian},
  booktitle    = {2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)},
  isbn         = {978-1-5386-8128-2},
  language     = {eng},
  pages        = {31--36},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  title        = {Recognition in Human–Robot Interaction : The gateway to engagement},
  url          = {http://dx.doi.org/10.1109/DEVLRN.2019.8850691},
  doi          = {10.1109/DEVLRN.2019.8850691},
  year         = {2019},
}