AI chatbots in hotel booking: Why they creep customers out and hurt business
If you have ever tried to book a hotel room online and felt a wave of unease while interacting with a chatbot, your instincts are backed by science. A new study from Texas A&M University’s College of Agriculture and Life Sciences has confirmed that hotel booking chatbots are genuinely creeping people out, and this discomfort is directly damaging hotel revenues and booking rates.
Researchers surveyed 340 adults in the United Kingdom who had previously used chatbots to book hotels. They identified three primary factors behind what they call the “ick factor” of these AI assistants: inaccuracy, deceptive behavior, and intrusiveness. Among these, inaccuracy proved to be the most damaging, triggering a negative response more than four times stronger than the other two flaws combined.
The study highlights specific failures that make users feel unsettled. Common examples include chatbots quoting incorrect room rates, providing wrong cancellation policies, or simply dodging direct questions with irrelevant responses. These errors cause a cascade of negative reactions. The research found that even a single inaccurate interaction reduced users’ willingness to continue chatting with the bot by nearly 38%. Moreover, the likelihood that a user would delay or completely abandon the booking process nearly doubled after encountering such problems.
Lead researcher Babak Taheri explained that when a human-like system fails to behave as a human would, it triggers something deeper than simple disappointment. He referenced the “uncanny valley” effect, a concept originally applied to robotics and animated characters, where near-human but flawed representations evoke feelings of eeriness or revulsion. In the context of chatbots, this effect is amplified when the AI tries too hard to sound natural but inevitably falls short. Users feel a sense of deception, as if the system is pretending to be something it is not.
The rise of chatbots in hospitality
The adoption of chatbots in the hotel industry has surged over the past five years. Driven by the promise of 24/7 customer service, reduced staffing costs, and the ability to handle a high volume of routine inquiries, many hotels have implemented AI assistants on their websites and booking platforms. According to industry reports, the global chatbot market in travel and hospitality was valued at approximately $200 million in 2023 and is expected to grow at an annual rate of over 20% through 2030. However, the Texas A&M study suggests that rapid deployment without adequate attention to user experience may be backfiring.
The hospitality sector has long relied on personal interactions to build trust and loyalty. Hotel booking is a relatively high-stakes decision for many consumers, involving significant financial commitments and personal preferences. When a chatbot fails to understand a guest’s need for a quiet room, a specific view, or accurate pricing, the perceived risk increases, and the customer feels less confident in their choice. In contrast, a human agent can quickly adapt to nuance, provide empathy, and offer tailored recommendations that bots often miss.
One of the key issues identified by the researchers is the “deceptive behavior” of some chatbots. This includes instances where the bot implies it understands the customer’s situation when it actually does not, or where it pushes upgrades or add-ons without clear prompting. Users reported feeling manipulated, which further erodes trust. Interestingly, the study found that when a chatbot openly discloses its artificial nature early in the conversation—such as by saying “Hi, I am your AI assistant”—users become significantly more forgiving of minor mistakes. This simple transparency signal resets expectations and reduces the uncanny valley effect.
Simple fix hotels ignore
Despite the clear evidence, most hotels still fail to implement this straightforward solution. The researchers recommend that all hospitality chatbots should begin with an explicit disclosure that they are AI. Additionally, they suggest hotels provide an easy way for users to escalate to a human agent when the bot cannot handle complex queries. Upgrading the AI itself to handle basic requests accurately should be a priority.
The study’s findings come at a time when AI travel booking is a hot topic in technology. Google recently added AI trip planning features to its search engine, and Uber launched hotel booking through Expedia inside its app. These developments indicate that the industry is betting heavily on AI to streamline travel arrangements. However, the Texas A&M research warns that user trust must be earned through reliable and transparent systems, not through misleading attempts to mimic human interaction.
For hoteliers, the message is clear: a poorly designed chatbot is worse than no chatbot at all. Investing in better natural language processing, rigorous testing across diverse user scenarios, and combining AI with human oversight can turn a liability into an asset. The study suggests that even a moderately competent AI assistant, when honest about its limitations, can improve customer satisfaction and booking rates compared to a bot that tries to sound human but fails.
As the technology evolves, the hospitality industry must remember that the core of hotel booking is about meeting human needs. AI can certainly help, but only if it listens, learns, and admits when it cannot help. That transparency may be the most important feature of all.
Source: Digital Trends News