TY - JOUR
T1 - A Survey Study on the Technology and Public Acceptance of Remote Labor
AU - Nicol, Matthew
AU - Lu, Lu
AU - Wang, Cong
N1 - Funding Information:
by the US National Science Foundation by the US National Science Foundation by the US National Science Foundation by the US National Science Foundation
Publisher Copyright:
© 2022 Elsevier B.V.. All rights reserved.
PY - 2022/9/1
Y1 - 2022/9/1
N2 - This paper presents a survey study on the concept of remote labor, which aims at allowing employees in labor jobs to work remotely by teleoperating robots over the internet. As a pilot survey, findings of this study can guide the practical implementations of remote labor. Potential benefits of remote labor include improving working conditions, bringing robustness against disastrous events, providing employment opportunities, and accelerating AI development. Nevertheless, remote labor faces some particular technological and social challenges. 218 responses to a questionnaire have been collected to study the public acceptance of remote labor when considering issues on technology readiness, working environment, safety and liability, contracts and compensations, data collection and use, overseas outsourcing, and more. The paper has also reviewed over 50 published articles on related technologies, business models, and regulatory practices.
AB - This paper presents a survey study on the concept of remote labor, which aims at allowing employees in labor jobs to work remotely by teleoperating robots over the internet. As a pilot survey, findings of this study can guide the practical implementations of remote labor. Potential benefits of remote labor include improving working conditions, bringing robustness against disastrous events, providing employment opportunities, and accelerating AI development. Nevertheless, remote labor faces some particular technological and social challenges. 218 responses to a questionnaire have been collected to study the public acceptance of remote labor when considering issues on technology readiness, working environment, safety and liability, contracts and compensations, data collection and use, overseas outsourcing, and more. The paper has also reviewed over 50 published articles on related technologies, business models, and regulatory practices.
KW - Crowdsourcing
KW - Human Computation
KW - Labor
KW - Remote Work
KW - Robot Teleoperation
UR - http://www.scopus.com/inward/record.url?scp=85145652525&partnerID=8YFLogxK
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U2 - 10.1016/j.ifacol.2022.10.548
DO - 10.1016/j.ifacol.2022.10.548
M3 - Conference article
AN - SCOPUS:85145652525
SN - 2405-8963
VL - 55
SP - 416
EP - 423
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 27
T2 - 9th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2022
Y2 - 6 September 2022 through 9 September 2022
ER -