Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/114681
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Fung, Clare | - |
| dc.creator | Lo, Ada | - |
| dc.identifier.uri | https://oer.lib.polyu.edu.hk/concern/works/9c67wn312 | - |
| dc.language.iso | eng | - |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.subject | Hospitality industry -- Information technology | - |
| dc.subject | Hotel management | - |
| dc.subject | Artificial intelligence | - |
| dc.title | First AI-powered Hotel in the United States: A Case of Otonomus Hotel | - |
| dc.type | Case Study | - |
| dc.type | OER | - |
| dcterms.abstract | Scheduled to open in July 2025, Otonomus Hotel is the first AI-powered hotel in the U.S., offering 550 rooms with advanced technology for personalized guest experiences. The AI system tailors services by learning guest preferences from booking to checkout, even integrating social media data (with consent) to anticipate needs. Guests benefit from intuitive room allocation, proactive service suggestions, and ongoing profile refinement for future stays. However, the hotel faces challenges around privacy, as extensive data collection and social media access may make guests uncomfortable. Addressing these concerns transparently is crucial for guest trust and acceptance of this innovative concept. | - |
| dcterms.issued | 2025 | - |
| Appears in Collections: | Open Educational Resources | |
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