Issues in Existing Robotic Service in Restaurants and Hotels

Mishraa, Neelima; Goyal, Dinesh; Sharma, Ashish

doi:10.2139/ssrn.3166508

Cited by 9 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, previous hospitality literature indicates that when innovative technology is actually applied in the reality, consumer begin to recognize many problems such as security, technical flaws, unfamiliarity and inconvenience of the application of new technology (Mishraa et al , 2018; Wirtz et al , 2018). For example, although there has been a lot of positive expectation and interest of the world’s first robot hotel in Japan, this new technology (e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

Perceived risks from drone food delivery services before and after COVID-19

Choe

Kim

Hwang

2021

IJCHM

View full text Add to dashboard Cite

Purpose The purpose of this study was to explore if five subdimensions of perceived risk (financial, time, privacy, performance and psychological risks) negatively affects image. In addition, this study aims to investigate if image has a positive effect on intentions to use. Lastly, the purpose of this study was to examine the moderating effect of Coronavirus disease-2019 (COVID-19), before and after the outbreak, in the relationship between perceived risk and image. Design/methodology/approach Data were collected from 331 people before the COVID-19 outbreak and 343 people after the COVID-19 outbreak. To test hypotheses, this study used structural equation modeling. Findings Time, performance and psychological risks negatively affected image before the outbreak of COVID-19. Meanwhile, performance risks and psychological risks had a negative influence on image only after the outbreak of COVID-19. In addition, there was demonstrated to be a positive relationship between image and intentions to use, both before and after the COVID-19 outbreak. Finally, the outbreak of COVID-19 positively moderates the relationship between performance risk and image. Practical implications The current study provides the following practical implications. First, industry practitioners need to develop a performance guarantee system which enhances the quality assurance of drone food delivery services (DFDS). Second, live streaming or creative activities would help to visualize DFDS in a way that stresses the stable operation of these services. Originality/value The importance of contactless services has been emphasized ever since the beginning of the COVID-19 outbreak. However, there has been very little research on the future of contactless services after COVID-19. This study investigated the perceived risk from DFDS as a form of contactless service which has not been conducted before. The findings of this study will improve the understanding of the changes that have occurred in consumers’ perception of risk from DFDS during the COVID-19 pandemic.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Perceived risks from drone food delivery services before and after COVID-19

Choe

Kim

Hwang

2021

IJCHM

View full text Add to dashboard Cite

show abstract

“…(1) Novelty seeking Context of robotic restaurants awkward aspects of robotic restaurants that need to be improved. For example, some early versions of robots in restaurants were imperfect in many ways (Mishraa et al, 2018). Customers themselves have to press a button to stop the robot and pick up the food themselves.…”

Section: Theoretical Implicationsmentioning

confidence: 99%

Application of consumer innovativeness to the context of robotic restaurants

Kim

Choe

Hwang

2020

IJCHM

View full text Add to dashboard Cite

Purpose The purpose of this paper is to apply the concept of consumer innovativeness to the robotic restaurants field. Design/methodology/approach A research model including 13 hypotheses is examined using a sample of 409 subjects gathered. Findings The results indicate that four underlying dimensions of consumer innovativeness have a positive effect on overall image, which, in turn, increases desire. In addition, desire aids to enhance the two dimensions of behavior intentions. Practical implications Robotic restaurant managers are required to focus more on quality experience-seeking, hedonic experience-seeking, venturesomeness and social distinctiveness using automated systems, which aid to enhance the image of robotic restaurants. Originality/value Consumer innovativeness is regarded as a significant concept in the domain of a novel technology-based product and service, but it has not been explored in the restaurant context. Thus, this study tried to apply consumer innovativeness to the robotic restaurant industry for the first time and explained how to form consumer behavioral intentions based on the concept.

show abstract

“…In this work, OpenAI Baselines 2 are used, it is a set of implementations of RL algorithms of the state of the art, more specifically a fork of Baselines called Stable Baselines 3 [28] is used, which provides unified structure and documentation for the algorithms.…”

Section: Training Environmentmentioning

confidence: 99%

“…In the last years, an increasing amount of robots have been deployed in public environments making evident the need of human-aware navigation capabilities. Environments where robots are capable of navigating such as hospitals, hotels, restaurants, train stations or airports have been subject of research studies [1] [2] [3].…”

Section: Introductionmentioning

confidence: 99%

Target Reaching Behaviour for Unfreezing the Robot in a Semi-Static and Crowded Environment

Cruz-Maya¹

2020

Preprint

View full text Add to dashboard Cite

Robot navigation in human semi-static and crowded environments can lead to the freezing problem, where the robot can not move due to the presence of humans standing on its path and no other path is available. Classical approaches of robot navigation do not provide a solution for this problem. In such situations, the robot could interact with the humans in order to clear its path instead of considering them as unanimated obstacles. In this work, we propose a robot behavior for a wheeled humanoid robot that complains with social norms for clearing its path when the robot is frozen due to the presence of humans. The behavior consists of two modules: 1) A detection module, which make use of the Yolo v3 algorithm trained to detect human hands and human arms. 2) A gesture module, which make use of a policy trained in simulation using the Proximal Policy Optimization algorithm. Orchestration of the two models is done using the ROS framework.

show abstract

Issues in Existing Robotic Service in Restaurants and Hotels

Cited by 9 publications

References 0 publications

Perceived risks from drone food delivery services before and after COVID-19

Perceived risks from drone food delivery services before and after COVID-19

Application of consumer innovativeness to the context of robotic restaurants

Target Reaching Behaviour for Unfreezing the Robot in a Semi-Static and Crowded Environment

Contact Info

Product

Resources

About