Version 1
: Received: 7 April 2022 / Approved: 8 April 2022 / Online: 8 April 2022 (12:48:04 CEST)
How to cite:
Chang, Y.; Carros, F.; Manavi, M.; Rathmann, M. How do Roboticists Imagine a Robotised Future? A Case Study on a Japanese HRI Research Project. Preprints.org2022, 2022040081. https://doi.org/10.20944/preprints202204.0081.v1
Chang, Y.; Carros, F.; Manavi, M.; Rathmann, M. How do Roboticists Imagine a Robotised Future? A Case Study on a Japanese HRI Research Project. Preprints.org 2022, 2022040081. https://doi.org/10.20944/preprints202204.0081.v1
Cite as:
Chang, Y.; Carros, F.; Manavi, M.; Rathmann, M. How do Roboticists Imagine a Robotised Future? A Case Study on a Japanese HRI Research Project. Preprints.org2022, 2022040081. https://doi.org/10.20944/preprints202204.0081.v1
Chang, Y.; Carros, F.; Manavi, M.; Rathmann, M. How do Roboticists Imagine a Robotised Future? A Case Study on a Japanese HRI Research Project. Preprints.org 2022, 2022040081. https://doi.org/10.20944/preprints202204.0081.v1
Abstract
This study observes, interprets, and analyses the knowledge production in the research field of Human–Robot Interaction (HRI). It intends to foreground the hidden assumptions that are often taken for granted when roboticist design and conduct their research. By doing so, this study demonstrates how these assumptions influence the result of their research. Based on data collected through sociological field observation, this study argues that the current practise in HRI research is highly anthropocentric. In short, the robots are designed to be like human instead of for human. Therefore, the human–robot relationship embodies the existing power relations between human beings. These relations generate inequality, hierarchy, and dominance, which are the opposite of the common imagination of the robotised future among roboticists. For the purpose of enabling the robotised future closer to their ideal, this study suggests that HRI researchers to go beyond the conventional methodology, to allow a human–robot relationship that realises reciprocity.
Keywords
Social Robot; Empirical Research; Human-Robot Interaction; Human-Computer Interaction; Ethnomethodology; Robot development; HCI; HRI; Qualitative Research
Subject
Computer Science and Mathematics, Robotics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
