Assessment of Hotel Service Robots by Customers
In the rapidly evolving world of hospitality, the integration of service robots has become a topic of great interest. Recent studies on human-robot interaction during service processes have shed light on key factors influencing consumer adoption of these technological innovations.
One such factor is anthropomorphism, the degree to which robots exhibit human-like characteristics. While robots perceived as too human-like can sometimes lead to discomfort or rejection by customers, a balanced approach is crucial. Striking the right balance between human-like traits and functionality is essential for encouraging consumer acceptance [4].
Perceived intelligence is another significant factor. Consumers tend to adopt service robots more readily when they perceive them as capable and intelligent in handling tasks reliably. Failures in robot services, such as inability to complete assigned tasks, markedly reduce customer trust and willingness to use these technologies [4].
Perceived security is also a crucial consideration. Security concerns related to AI and robotic use in hospitality, including privacy issues with facial recognition and data handling, can impact adoption rates. Ensuring data protection and secure operations increases user confidence [3].
Technological efficiency and support are equally important. The ability of robots to streamline hotel operations and integrate well with existing hotel IT systems is critical. If AI and robotic systems work seamlessly, the perceived utility by customers rises, encouraging adoption [2][3].
Customer experience enhancement is another positive influence on adoption. Robots that enhance customer service through personalization, responsiveness, and 24/7 availability positively impact consumer adoption. AI tools that improve communication and deliver personalized services create favorable perceptions [1].
Operational reliability and failure concerns are also significant. The impact of robot failures on customer satisfaction is substantial; hence, maintaining high reliability reduces rejection and builds trust [4].
A study focusing on a service robot named Godspeed, tested in the context of hotel management, provides valuable insights into these factors. While the Godspeed study did not compare the robot with NAO or Relay, previous studies have demonstrated differences between these robots in terms of consumer adoption factors [1].
The emotional response of participants was measured using biometric research methods during interactions with Godspeed, NAO for check-in, and Relay for room delivery. The findings suggest that consumer intention to adopt hotel service robots is influenced by anthropomorphism, perceived intelligence, and perceived security [1].
The implications of these studies for the hospitality industry are profound. Balancing human-like traits with functionality, ensuring perceived intelligence and security, and delivering reliable, efficient service that enhances the guest experience are key to successful integration of hotel service robots [1][2][3][4]. However, further research might be necessary to fully understand the impact of Godspeed on hotel service experiences. The findings from this study could potentially expand our understanding of consumer adoption factors for hotel service robots.
In the context of hospitality, the emotional response of consumers towards hotel service robots is strongly influenced by anthropomorphism, perceived intelligence, and perceived security. A balance between human-like traits and functionality, as well as ensuring robots are perceived as capable and intelligent, increases consumer trust and encourages adoption. Ensuring data protection and secure operations is likewise essential for addressing security concerns related to AI and robotic use in hospitality.
