Recognition in Human–Robot Interaction : The gateway to engagement
(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:
https://lup.lub.lu.se/record/722dca05-ec26-4f21-a380-b0471a5c1856
- author
- Brinck, Ingar LU and Balkenius, Christian LU
- organization
- publishing date
- 2019
- 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
- 2022-04-25 23:49:34
@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}}, keywords = {{Social robots; Recognition (Psychology); Epigenetic Robotics; Mutual Recognition; Cooperation; Commitment; Reciprocity}}, 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}}, }