If you have ever tried to book a hotel online and found yourself unsettled by the AI chatbot trying to help you, science has your back. A new study from Texas A&M College of Agriculture and Life Sciences confirms that hotel booking chatbots are genuinely creeping people out, and it is actually hurting bookings. The research, led by Babak Taheri, surveyed 340 adults in the UK who had used chatbots to book hotels. The findings reveal three main culprits behind the 'ick factor': inaccuracy, deceptive behavior, and intrusiveness. Inaccuracy was by far the biggest offender, triggering a negative response more than four times stronger than the other flaws.
The study highlights that when chatbots quote incorrect rates for rooms, bungle cancellation policies, or dodge straightforward questions, it creates a deeply unsettling experience. That discomfort is not just a vibe — it cut users’ willingness to keep chatting with the bot by nearly 38% and nearly doubled the chances they would delay or ditch the booking altogether. Researchers also flagged something called the 'uncanny valley' effect, where a chatbot’s failures feel even creepier the harder it tries to sound human. Taheri summed it up: when a human-like system fails to actually behave like one, it triggers something deeper than disappointment in users.
The good news is that the researchers found a simple solution that most hotels are not using. When a chatbot declares it’s an AI, users are far more forgiving of its mistakes. A simple opener like 'Hi, I am your AI assistant' goes a long way. The study also recommends making it easier to reach a real human for complex queries and investing in upgrading the AI itself so it can actually handle the basics without fumbling. This research lands at a fascinating moment, because AI travel booking is the hottest thing in tech right now. Google recently added AI trip planning to Search, and Uber just launched hotel booking through Expedia inside its app.
Understanding the Creep Factor: Inaccuracy, Deception, and Intrusiveness
The study's detailed analysis breaks down why chatbots elicit such strong negative reactions. Inaccuracy was the most potent factor: when a chatbot provides wrong information — such as incorrect pricing or contradictory cancellation policies — it erodes trust almost immediately. Users feel they cannot rely on the system for something as critical as a hotel reservation. Deceptive behavior, such as pretending to be human or failing to disclose its AI nature, also contributed significantly to the creep factor. When users discover the chatbot is not human, especially after it fails, they feel manipulated. Intrusiveness, like asking for excessive personal details or not respecting user boundaries, further amplified the discomfort.
The 'uncanny valley' concept, borrowed from robotics and computer graphics, precisely applies here. As a chatbot becomes more human-like in its language and mannerisms, any glitch or error becomes disproportionately disturbing. The study measured this effect through participant responses, finding that the more 'human' a chatbot appeared, the more severe the backlash when it made a mistake. This is because humans naturally expect consistency and empathy from human-like entities; when the chatbot fails to deliver, it feels like a betrayal rather than a simple technical error.
Impact on Hotel Bookings and Industry Practices
The practical implications for the hotel industry are stark. The willingness to continue using the chatbot dropped by nearly 38% after a negative experience, and the likelihood of delaying or abandoning the booking doubled. This directly translates to lost revenue. Despite the explosion of AI tools in travel — from Google's generative AI trip planning to OpenAI's ChatGPT plugins for Expedia — hotels are lagging in implementing simple fixes. Many still deploy chatbots that either blend in too much with human agents or fail to handle basic queries accurately. The study suggests that transparency is the cheapest and most effective upgrade: simply stating 'I am an AI assistant' at the start of the conversation reduces user frustration by removing the expectation of human-level performance.
Hotels should also prioritize seamless handoffs to human staff. For complex requests like modifying a reservation or handling special needs, a chatbot should recognize its limits and connect the user to a real person without friction. Upgrading the underlying AI to improve accuracy — using better natural language processing, training on hotel-specific data, and integrating with real-time booking systems — is a longer-term investment but essential for maintaining customer loyalty in an increasingly automated booking landscape.
The study's findings come at a time when consumer trust in AI is fragile. A 2024 survey by Pew Research showed that 52% of Americans feel more concerned than excited about the increased use of AI in daily life. In the travel sector, where accuracy and reliability are paramount, any misstep can have outsized consequences. By following the simple recommendations from this research, hotels can mitigate the creep factor and build a more acceptable AI presence.
Broader Context: AI in Travel and the Uncanny Valley
The hotel chatbot creep factor is part of a wider conversation about AI's role in customer service. The uncanny valley effect appears across industries — from virtual assistants to voice agents in call centers. In travel, where customers often have high emotions and tight schedules, a bot that fails feels even more jarring. The study recommends that companies test their chatbots against the three dimensions of creepiness: accuracy, honesty, and respect for privacy. Simple scripts must be carefully designed to sound helpful but not overconfident. For example, a chatbot should say 'I am not entirely sure; let me find out' rather than generating a plausible but wrong answer.
Notably, the study did not find that using a female voice or an avatar's appearance had a significant effect on creepiness — the primary drivers were functional failures. This suggests that hotels can save money on anthropomorphic design and instead focus on getting the basics right. The researchers also noted cultural differences: participants in the UK, where the study was conducted, showed particular sensitivity to deceptive behavior, possibly due to high standards for customer service in the travel industry. Future research could explore how these findings translate to other countries.
As AI travel booking evolves, stakeholders must remember that trust is earned through consistent, accurate interactions. The Texas A&M study offers a clear roadmap: be transparent, be accurate, and don't pretend to be something you're not. Hotels that ignore these lessons risk not just individual booking losses but also long-term brand damage as consumers become wary of any AI-powered interaction. The creep factor is real, but it's also fixable with straightforward changes that cost little but deliver high returns in customer satisfaction and conversion rates.
Source: Digital Trends News