人工智能支持的航空客舱服务:人工智能增强的情感价值服务。高接触解决方案和服务质量的服务设计

Vássil Rjsé, Titta Jylkäs, Satu Miettinen
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引用次数: 0

摘要

摘要本文强调了在航空公司客舱体验过程中,数字服务中情感价值的重要性。目前,与人工智能助手等一线人工智能互动的情感接触缺乏信任。因此,必须重新设想人工智能的作用,通过高触控等方式,更好地将人为因素融入到服务体验中,从而创造信任,提高对客舱服务质量的感知。服务设计是一种以人为中心的服务创造方法,其中用户通常是服务研究的主要对象;服务流程(服务交互)然后与服务提供者共同创造价值。这里讨论的主要概念是人工智能增强服务(AIAS),它将高科技能力转化为高度接触的“以人为本”服务,可以为用户提供访问、控制和福祉,所有这些都是建立信任的关键组成部分。航空公司未来的服务可以通过AIAS互动沟通渠道来检测人类情感,共同创造情感价值,提升情商,从而将高科技能力转化为高接触机会。方法方法首先确定了交通领域最先进的人工智能技术的基准,并进行了一系列专家访谈。值得注意的是,本文还讨论了AIAS高接触式客舱服务的可能实现和挑战。本文可以被视为服务设计的第一步,其中讨论了以“发现”可能的AI解决方案为目标的机会。在以后的文章中将介绍连续的阶段,其中将进一步定义和开发这里介绍的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI Enabled Airline Cabin Services: AI Augmented Services for Emotional Values. Service Design for High‐Touch Solutions and Service Quality
Abstract This paper highlights the significance of emotional values within digital services during the airline cabin experience. Currently, emotional engagement with front‐line AI interactions, such as AI assistants, lacks trust. Thus, the role of AI must be reimagined to better integrate the human factor into the service experience through things like high‐touch in order to create trust and improve the perception of cabin service quality. Service design is a human‐centric approach to service creation in which the user is typically made the main subject of the service research; the service process (service interaction) then co‐creates values alongside the service provider. The major concept discussed here is AI Augmented Services (AIAS), which turn high‐tech capabilities into high‐touch “human centric” services that can offer access, control, and well‐being to the user, all of which are key components in the establishment of trust. Airline future services can then implement this study for the purpose of detecting human emotions, co‐creating emotional values, and promoting emotional intelligence through the AIAS interactive communication channels, thereby transforming high‐tech capabilities into high‐touch opportunities. The methodological approach began by determining a benchmark for the state‐of‐the‐art AI technology in transport and conducting a set of expert interviews. Notably, the possible materialisation and challenges of AIAS high‐touch cabin services are also discussed here. This article can be considered to be a first step toward a service design in which opportunities are discussed with the goal of “discovering” possible AI solutions. Consecutive stages will be presented in future articles in which the concepts introduced here will be further defined and developed.
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