@inproceedings{wong2018advbot,

title = {Advbot: Towards Understanding Human Preference in a Human-Robot Interaction Scenario},

author = {Clarice Jiaying Wong and Yong Ling Tay and Lincoln W C Lew and Hui Fang Koh and Yijing Xiong and Yan Wu},

url = {https://ieeexplore.ieee.org/document/8581325 

https://www.yan-wu.com/wp-content/uploads/2020/05/wong2018advbot.pdf},

doi = {10.1109/ICARCV.2018.8581325},

year  = {2018},

date = {2018-11-01},

booktitle = {The 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)},

pages = {1305-1309},

publisher = {IEEE},

address = {Singapore},

abstract = {Recent studies show that the growth of social robotics market will dominate the robotics sector by 2025. Social robots are set to enter and co-exist in daily living, making human-robot interaction studies a crucial research direction in these robotics applications. One such application is the deployment of robotics in information dissemination to augment the shrinking workforce in developed economies, such as advertisement campaigns. This work seeks to understand whether live robot advertiser can better engage audience and improve audience perception of a marketed product as compared to pre-filmed video advertising clips. In this preliminary study, a humanoid robot, the NAO, was programmed to act according to a marketing campaign script, engaging the audience through voice, simulated eye-contacts, gestures and interaction with the Keepon, a robot to be advertised. We carried out three sets of experiments in the CBD of Singapore on teenage pedestrians. The results of this study suggest that physical robot presence will enhance information dissemination and hence improve advertising result, providing value-add to the advertised product.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{wu2017investigation,

title = {Investigation on the Roles of Human and Robot in Collaborative Storytelling},

author = {Yan Wu and Ruohan Wang and Yong Ling Tay and Clarice Jiaying Wong},

url = {https://ieeexplore.ieee.org/document/8282003 

http://www.yan-wu.com/docs/wu2017investigation.pdf},

doi = {10.1109/APSIPA.2017.8282003},

isbn = {978-1-5386-1542-3},

year  = {2017},

date = {2017-12-15},

booktitle = {2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)},

pages = {063-068},

publisher = {IEEE},

address = {Kuala Lumpur, Malaysia},

abstract = {The tradition of storytelling is a distinctive human experience. There have been increasing evidences from social sciences that storytelling facilitates skill development in children. In this paper, we explore the use of humanoid robots to augment traditional storytelling, an area still understudied, to investigate the effectiveness of human-robot collaboration (HRC) in storytelling. In this preliminary experiment, a humanoid robot, Aldebaran's Nao, was programmed to recite a mystery story to 60 students aged 14 to 15, while engaging them through gestures, simulated eye contacts and varied voices. Nao delivered the performance as either an independent storyteller, or as a collaborator with a human storyteller. We assessed the effectiveness of HRC by comparing the participants' preference over the two settings. We found that 1) most participants believe that HRC is effective and prefer HRC over the robot-only performance; and 2) the complementarily effective roles of human and robot storytellers in interacting with the participants provide a glimpse of evidence on the preference towards HRC. These results, provide a first step towards effective use of robots for collaborative storytelling in day-to-day situations, which is well placed to guide the design of robots for education and entertainment purposes, e.g. for improving family bonding between parents and children while allowing parents to more effectively tell stories.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{wong2016human,

title = {Human-Robot Partnership: A Study on Collaborative Storytelling},

author = {Clarice Jiaying Wong and Yong Ling Tay and Ruohan Wang and Yan Wu},

url = {https://ieeexplore.ieee.org/document/7451843 

http://www.yan-wu.com/docs/wong2016human.pdf},

doi = {10.1109/HRI.2016.7451843},

isbn = {978-1-4673-8370-7},

year  = {2016},

date = {2016-03-10},

booktitle = {The Eleventh ACM/IEEE International Conference on Human Robot Interation (HRI)},

pages = {535-536},

publisher = {IEEE},

address = {Christchurch, New Zealand},

abstract = {This paper describes the current work on using humanoid robot to augment traditional storytelling for educational and entertainment purposes in casual contexts such as home and classroom. We explore a novel method of Human-Robot Collaboration (HRC) for storytelling and address the question how robots may best augment storytelling. In the pilot study, a humanoid robot, Aldebaran's Nao, was programmed to recite a story to 60 students aged 14 to 15. Nao delivered the performance as either an independent storyteller, or as a collaborator with a human storyteller. We assessed the effectiveness of HRC by comparing the participants' preference over the two settings. We found that 1) most participants prefer HRC over the robot-only performance (RO) and considered HRC effective; and 2) the preference in HRC is explained by the complementary strengths of the robot and human storyteller in interacting with the participants. These results, provide a first step towards effective use of robots for collaborative storytelling in daily situations.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}