This study takes an applied approach to a question that operators are increasingly asking: when robots deliver service, what drives whether guests are actually satisfied — and whether they come back? Rather than theorizing about this, the researchers surveyed 650 actual tourists in Egypt to find out.
Egypt is a useful context for this research because it represents a market where robot-delivered services are being introduced into a hospitality sector that was already under pressure to modernize, compete internationally, and recover from tourism disruption. The findings translate well to other markets where hotels are navigating the same tension between service tradition and technological modernization.
Four factors emerged as the strongest predictors of guest satisfaction with robot-delivered services, and their relative importance is revealing.
Emotional well-being came out on top. Guests who were in a positive emotional state during their interaction with robot services reported significantly higher satisfaction, regardless of whether the robot performed its task flawlessly. This finding has a direct operational implication: the conditions you create for the guest experience before and around a robot interaction matter as much as the robot's technical performance. A guest who has had a smooth arrival, been warmly welcomed, and feels comfortable in the environment is predisposed to have a positive robot interaction. A guest who is stressed, confused, or already frustrated is not — and a robot interaction in that context is likely to make things worse.
Perceived safety was the second major driver. Guests needed to feel physically safe around robotic equipment — a consideration that matters both for design (robots that move predictably, at appropriate speeds, with clear signaling of intent) and for communication (guests who understood what the robot was doing and why reported feeling safer than those who didn't). Clear explanation of robot functions at check-in, combined with visible safety features on the equipment itself, are practical interventions supported by the data.
Green image — the perception that the property was making environmentally responsible choices, including through technology — was a meaningful positive factor. This reinforces broader sustainability research: guests increasingly associate modern, efficient technology with environmental responsibility, and this perception contributes to overall satisfaction with the property.
Finally, destination healthcare systems — the quality and accessibility of healthcare infrastructure — influenced willingness to use robot-delivered services. In the wake of COVID-19, guests who trusted the destination's health management capacity were more willing to engage with contactless, robot-mediated service delivery.
For operators designing robot-delivered service programs, the practical implications are clear: don't optimize the robot in isolation. Optimize the full guest experience context around the robot. The emotional starting point of the guest, the physical safety design of the interaction, the way the property communicates its technology choices, and the broader trust context of the destination all shape whether a robot deployment succeeds or fails from a guest satisfaction standpoint.
For properties in markets with strong sustainability credentials and high healthcare trust — many European and North American markets — the conditions for successful robot adoption are favorable. The research suggests that investing in guest communication and experience design around robot deployment is at least as important as the robot hardware selection itself.