dc.identifier.uri |
http://dx.doi.org/10.15488/10797 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/10875 |
|
dc.contributor.author |
Abbas, Tahir
|
|
dc.contributor.author |
Khan, Vassilis Javed
|
|
dc.contributor.author |
Gadiraju, Ujwal
|
|
dc.contributor.author |
Barakova, Emilia
|
|
dc.contributor.author |
Markopoulos, Panos
|
|
dc.date.accessioned |
2021-04-23T09:02:55Z |
|
dc.date.available |
2021-04-23T09:02:55Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
Abbas, T.; Khan, V.-J.; Gadiraju, U.; Barakova, E.; Markopoulos, P.: Crowd of oz: A crowd-powered social robotics system for stress management. In: Sensors 20 (2020), Nr. 2, 569. DOI: https://doi.org/10.3390/s20020569 |
|
dc.description.abstract |
Coping with stress is crucial for a healthy lifestyle. In the past, a great deal of research has been conducted to use socially assistive robots as a therapy to alleviate stress and anxiety related problems. However, building a fully autonomous social robot which can deliver psycho-therapeutic solutions is a very challenging endeavor due to limitations in artificial intelligence (AI). To overcome AI’s limitations, researchers have previously introduced crowdsourcing-based teleoperation methods, which summon the crowd’s input to control a robot’s functions. However, in the context of robotics, such methods have only been used to support the object manipulation, navigational, and training tasks. It is not yet known how to leverage real-time crowdsourcing (RTC) to process complex therapeutic conversational tasks for social robotics. To fill this gap, we developed Crowd of Oz (CoZ), an open-source system that allows Softbank’s Pepper robot to support such conversational tasks. To demonstrate the potential implications of this crowd-powered approach, we investigated how effectively, crowd workers recruited in real-time can teleoperate the robot’s speech, in situations when the robot needs to act as a life coach. We systematically varied the number of workers who simultaneously handle the speech of the robot (N = 1, 2, 4, 8) and investigated the concomitant effects for enabling RTC for social robotics. Additionally, we present Pavilion, a novel and open-source algorithm for managing the workers’ queue so that a required number of workers are engaged or waiting. Based on our findings, we discuss salient parameters that such crowd-powered systems must adhere to, so as to enhance their performance in response latency and dialogue quality. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Basel : MDPI AG |
|
dc.relation.ispartofseries |
Sensors 20 (2020), Nr. 2 |
|
dc.rights |
CC BY 4.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
|
dc.subject |
Coaching |
eng |
dc.subject |
Crowdsourcing |
eng |
dc.subject |
Human computation |
eng |
dc.subject |
Real-time crowd-powered systems |
eng |
dc.subject |
Social conversation |
eng |
dc.subject |
Social robotics |
eng |
dc.subject |
Stress |
eng |
dc.subject |
Artificial life |
eng |
dc.subject |
Crowdsourcing |
eng |
dc.subject |
Intelligent robots |
eng |
dc.subject |
Open systems |
eng |
dc.subject |
Real time systems |
eng |
dc.subject |
Stresses |
eng |
dc.subject |
Coaching |
eng |
dc.subject |
Human computation |
eng |
dc.subject |
Real time |
eng |
dc.subject |
Social conversations |
eng |
dc.subject |
Social robotics |
eng |
dc.subject |
Robotics |
eng |
dc.subject |
algorithm |
eng |
dc.subject |
article |
eng |
dc.subject |
artificial intelligence |
eng |
dc.subject |
case report |
eng |
dc.subject |
clinical article |
eng |
dc.subject |
conversation |
eng |
dc.subject |
crowdsourcing |
eng |
dc.subject |
human |
eng |
dc.subject |
human experiment |
eng |
dc.subject |
nonhuman |
eng |
dc.subject |
object manipulation |
eng |
dc.subject |
pepper |
eng |
dc.subject |
reaction time |
eng |
dc.subject |
robotics |
eng |
dc.subject |
speech |
eng |
dc.subject |
stress management |
eng |
dc.subject |
worker |
eng |
dc.subject.ddc |
620 | Ingenieurwissenschaften und Maschinenbau
|
ger |
dc.title |
Crowd of oz : A crowd-powered social robotics system for stress management |
|
dc.type |
Article |
|
dc.type |
Text |
|
dc.relation.essn |
1424-8220 |
|
dc.relation.doi |
https://doi.org/10.3390/s20020569 |
|
dc.bibliographicCitation.issue |
2 |
|
dc.bibliographicCitation.volume |
20 |
|
dc.bibliographicCitation.firstPage |
569 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|