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'How was your stay?': Exploring the Use of Robots for Gathering Customer Feedback in the Hospitality Industry

机译:“你的住宿是怎么回事?”:探索机器人的使用以收集客户的客户反馈

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This paper presents four exploratory studies of the potential use of robots for gathering customer feedback in the hospitality industry. To account for the viewpoints of both hotels and guests, we administered need finding interviews at five hotels and an online survey concerning hotel guest experiences with 60 participants. We then conducted the two deployment studies based on deploying software prototypes for Savioke Relay robots we designed to collect customer feedback: (i) a hotel deployment study (three hotels over three months) to explore the feasibility of robot use for gathering customer feedback as well as issues such deployment might pose and (ii) a hotel kitchen deployment study (at Savioke headquarters over three weeks) to explore the role of different robot behaviors (mobility and social attributes) in gathering feedback and understand the customers' thought process in the context that they experience a service. We found that hotels want to collect customer feedback in real-time to disseminate positive feedback immediately and to respond to unhappy customers while they are still on-site. Guests want to inform the hotel staff about their experiences without compromising their convenience and privacy. We also found that the robot users, e.g. hotel staff, use their domain knowledge to increase the response rate to customer feedback surveys at the hotels. Finally, environmental factors, such as robot's location in the building influenced customer response rates more than altering the behaviors of the robot collecting the feedback.
机译:本文提出了四项探索性研究,潜在利用机器人在酒店业中收集客户反馈。要考虑酒店和客人的观点,我们需要在五家酒店寻找采访,并在线调查,有60名参与者。然后,我们根据部署软件原型进行了两项部署研究,用于Savioke Relay机器人,我们旨在收集客户反馈:(i)酒店部署研究(三个月三个三个月的酒店),探讨机器人使用的可行性,以及收集客户反馈的机器人使用由于问题,此类部署可能会占据和(ii)酒店厨房部署研究(在三周内,萨瓦克总部)探讨不同机器人行为(移动性和社会属性)的作用,以收集反馈并理解客户的思维过程他们经历过服务。我们发现酒店希望实时收集客户反馈,立即传播积极的反馈,并在仍在现场回复不满意的客户。客人希望在不影响方便和隐私的情况下通知酒店工作人员的经验。我们还发现机器人用户,例如,酒店工作人员,使用他们的领域知识来增加酒店的客户反馈调查的响应率。最后,建筑物中的环境因素,例如机器人的位置影响了客户响应率,而不是改变收集反馈的机器人的行为。

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