With regard to virtual reality (VR) simulators, direct guidance is needed due to the complex procedures and safety of customers compared with simple coin-op amusement games. However, it is difficult for human attendants to repeatedly guide the customer with a high level of service quality. In this article, we propose a new type of robotic attendant for VR simulators, which provides personalized high-quality services and automatically operates the VR simulators in VR theme parks. In addition, the robotic attendant improves customer satisfaction by providing personalized services based on the estimation of the customer's age, gender, and game progress. Finally, we experimentally show that the personalized services provided by the robotic attendant improve customer satisfaction. The results of the satisfaction questionnaire and independent-samples t-Test validate our proposed scheme. Note to Practitioners-This article was motivated by the high operating costs of VR theme parks as the VR industry grew. At current VR theme parks, human attendants provide one-on-one services to their customers on how to operate the simulator. Therefore, we automate the abovementioned procedure to reduce operating costs and increase turnover rate and ticket sales at the same time. In addition, we also seek to improve customer satisfaction as well as automatic operation. In order to achieve the aforementioned objectives, the proposed robotic attendant uses camera images to obtain the age and gender of the customer and uses the game data to track game progress. Then, the robotic attendant provides customer-specific voice services using personal information. Experimental results show that the personalized services provided by the robotic attendant improve customer satisfaction.
|Number of pages||10|
|Journal||IEEE Transactions on Automation Science and Engineering|
|Publication status||Published - 2020 Oct|
Bibliographical noteFunding Information:
Manuscript received November 18, 2019; revised February 11, 2020; accepted February 29, 2020. Date of publication April 2, 2020; date of current version October 6, 2020. This article was recommended for publication by Associate Editor Y. Pan and Editor K. Saitou upon evaluation of the reviewers’ comments. This work was supported in part by the Ministry of Culture, Sports and Tourism (MCST) and the Korea Creative Content Agency (KOCCA) through the Culture Technology (CT) Research & Development Program 2019 under Grant R2019020038 and in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (Ministry of Science and Information Technology) under Grant 2018R1A2B6008063. (Jehyun Park and Hwanmoo Yong contributed equally to this work.) (Corresponding author: Jongeun Choi.) The authors are with the School of Mechanical Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: jhyunpark@ yonsei.ac.kr; email@example.com; firstname.lastname@example.org; email@example.com; firstname.lastname@example.org).
© 2004-2012 IEEE.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering