Designing AI-Driven Dining: A UX Approach to Enhancing the Self-Service Experience

Authors

Kaylin JoungFollow
Yuki HayashiFollow
Dailuaine EsguerraFollow

Files

Description

Artificial intelligence has transformed many industries, yet its integration into self-dining experiences is still emerging. This research explores how AI can enhance self-dining by introducing technology like interactive kiosks and robot servers to improve efficiency, personalization, and customer convenience. By addressing current gaps, we aim to create a more seamless and engaging dining experience.

Publisher Location

Las Vegas (Nev.)

Publication Date

Spring 5-2-2025

Publisher

University of Nevada, Las Vegas

Language

English

Controlled Subject

Artificial intelligence; User interfaces (Computer systems)

Disciplines

Artificial Intelligence and Robotics | Other Computer Sciences

File Format

pdf

File Size

3600 KB

Comments

Mentor: [Sang-Duck Seo]

Recommended Citation

Joung, Kaylin; Hayashi, Yuki; and Esguerra, Dailuaine, "Designing AI-Driven Dining: A UX Approach to Enhancing the Self-Service Experience" (2025). Undergraduate Research Symposium Posters. 261.
https://oasis.library.unlv.edu/durep_posters/261

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/