The research by Nguyen, Tran Nguyen, and Hancer reveals how human鈥搑obot collaboration and apology styles shape customer retention after service failures. Using experimental scenarios, the study shows that robots can effectively lead recovery efforts鈥攅specially when paired with economic apologies鈥攚hile human involvement enhances the impact of social apologies. Comfort emotions and continued robot usage mediate the path to loyalty, offering hospitality leaders a blueprint for designing emotionally intelligent service recovery strategies.
THE NEW FRONTLINE: HUMANS, ROBOTS, AND THE ART OF MAKING THINGS RIGHT
Picture this: a robot named Pepbot delivers your dinner at a trendy restaurant鈥攂ut it is the wrong order. What happens next? Does a human step in to apologize? Does the robot offer a discount? Or do both work together to make things right? As service robots become more common in hospitality, these questions are no longer hypothetical. They are central to how brands manage customer relationships in a tech-driven world.
This study explores the emotional and behavioral dynamics of service recovery strategies when robots are part of the frontline team. Drawing on theories of technology infusion and social exchange, Nguyen and colleagues examine how different combinations of human鈥搑obot collaboration and apology styles affect customer comfort, continued robot usage, and loyalty to the service firm. Their findings challenge long-held assumptions about empathy, compensation, and the role of emotion in hospitality recovery strategies.
In a world where robots are increasingly responsible for guest interactions, understanding how to recover from their mistakes is essential. The study reveals that the way an apology is delivered鈥攁nd by whom鈥攃an make or break the customer experience. Whether it is a robot offering a refund or a human expressing empathy, the emotional tone of the recovery matters just as much as the solution itself.
TECH MEETS TOUCH: REDEFINING SERVICE RECOVERY
Service recovery has traditionally relied on human empathy, verbal apologies, and emotional connection. But as robots take on more frontline roles, hospitality leaders must rethink how recovery works. Can a robot say sorry? Should it offer compensation? Does a human need to be involved to make the apology feel sincere?
To answer these questions, the researchers build on two key frameworks: the Frontline Service Technology (FST) model and the Customer鈥揂utomated鈥揥orker (CAW) model. They test three collaboration configurations鈥攈igh human鈥搇ow robot, low human鈥揾igh robot, and high human鈥揾igh robot鈥攁nd two apology styles: social (empathy and explanation) and economic (compensation).
Previous studies have shown mixed results. Some suggest that humans are better at recovery because they can express genuine emotion. Others argue that socially intelligent robots can deliver apologies that feel warm and competent. This study bridges those perspectives, asking not just who should apologize, but how鈥攁nd what emotional and behavioral outcomes follow.
The researchers propose that the effectiveness of an apology depends on the alignment between the agent delivering it and the style used. Robots may be better suited to economic apologies, while humans excel at social ones. This insight has profound implications for how hospitality brands design recovery protocols in environments where hotel check-ins to airport kiosks鈥攁dded depth to the analysis. It showed that customers are increasingly familiar with robotic service and have formed expectations about how these machines should behave when things go wrong.
We found that comfort emotions鈥攏ot just robot usage鈥攁re the missing link between recovery strategy and customer loyalty.”
THE RIGHT APOLOGY DEPENDS ON WHO’S TALKING
The study’s findings reveal a clear pattern: robot-led recoveries paired with economic apologies yielded the highest behavioral intentions. Customers responded positively when robots took the lead and offered tangible compensation, such as discounts or vouchers. These apologies felt fair and appropriate, especially when the robot was perceived as responsible for the error.
In contrast, human-involved recoveries benefited more from social apologies. When a human expressed empathy and explained the mistake, customers felt emotionally reassured. This type of apology was most effective when the human was seen as a caring agent, capable of understanding and addressing the customer’s feelings.
Comfort emotions played a pivotal role in shaping loyalty. When customers felt safe, understood, and emotionally supported, they were more likely to forgive the failure and remain loyal to the brand. Interestingly, robot continuance usage alone did not predict loyalty. It was the emotional experience鈥攈ow the apology felt鈥攖hat made the difference.
The most effective recovery strategies involved either strong robot leadership with economic apologies or balanced human鈥搑obot teamwork. These configurations challenged the assumption that humans are always better at saying sorry, showing that robots can be powerful agents of recovery when designed and deployed thoughtfully.
Economic apologies work best when robots lead, but human empathy makes social apologies shine.”
EMPATHY BY DESIGN: WHY ROBOTS CAN WIN HEARTS
According to Nguyen and colleagues, robots are not just tools鈥攖hey are social agents capable of influencing emotions and loyalty. When robots lead recovery and offer compensation, customers feel treated fairly. When humans are involved, emotional sincerity matters more.
Comfort emotions鈥攆eelings of warmth, safety, and ease鈥攁re the missing link between recovery strategy and customer retention. These emotions mediate the relationship between apology style and loyalty, showing that technical fixes alone are not enough. Customers need to feel emotionally reassured to forgive and return.
The study suggests that hospitality brands must design recovery strategies that balance functional efficiency with emotional intelligence. Robots should be programmed to recognize emotional cues and respond appropriately. Humans should be trained to deliver empathetic messages that align with the robot’s actions.
This approach requires collaboration between developers, designers, and hospitality managers. It is not just about building smarter robots鈥攊t is about creating emotionally intelligent service ecosystems where technology and humanity work together to make things right.
BEYOND THE FIRST IMPRESSION: LONG-TERM TRUST IN ROBOTIC SERVICE
This study opens the door to deeper exploration of human鈥搑obot collaboration in service recovery. Future research should examine how cultural and gender differences influence emotional responses to robot apologies. Do customers in collectivist cultures prefer human involvement? Are women more sensitive to emotional sincerity?
Researchers should also test other types of service failures鈥攂eyond restaurant scenarios鈥攖o see how recovery strategies perform in hotels, airports, and healthcare settings. Longitudinal studies could track how comfort emotions and robot usage evolve over time, revealing patterns in customer trust and loyalty.
As robots become more autonomous and socially intelligent, understanding the emotional nuances of their interactions will be key to sustaining customer relationships. Hospitality brands must move beyond novelty and efficiency, focusing instead on emotional design, trust-building, and long-term engagement.
The future of service recovery is not just about fixing mistakes鈥攊t is about making customers feel heard, valued, and cared for. Whether the apology comes from a robot or a human, it must resonate emotionally to truly restore the relationship.