Technologies such as Artificial Intelligence (AI) or Robotics are emerging as a new way of improving services, readjusting and impacting all business industries and relationships among people (Loureiro et al., 2021; Makridakis, 2017; Mingotto et al., 2020). The hospitality industry is no exception to this (Mingotto et al., 2020) since a quick growth in the use of robots and AI in this industry has been seen, registering a turnover of 249 million U.S. dollars (International Federation of Robots, 2021). This demonstrates that these technologies have a huge potential to grow, being relevant to deeply study them. Since very few of the existing studies highlight the robot-human interactions, further studies on the enhancement of human well-being through transhumanistic technologies, close relationship marketing capabilities, and the evolution of the engagement process between humans and AI-enabled machines are needed (Loureiro et al., 2021). To address the existing gaps and consider Susan Fournier’s (1998) study on customer-brand relationships, the main goal of this study is to find support for this researcher by associating customer-brand relationship studies with a customer-robot relationship. It also aims to understand individuals’ attitudes towards different types of social robots and the relationship process between social robots and humans, in the hospitality industry, and the influence of identification in the creation of attachment, connection, and commitment. The possible contributions of the customer-robot emotional relationship on customers’ feelings of wellness were also studied.

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Social robots,Hospitality industry,Customer-robot identification,Customer-robot relationship,Customer well-being