Evaluating User Interaction and Feedback Mechanisms in a Robotic Bartender: A Study on Smartini’s Social Interaction, Cocktail Preparation, and Customer Engagement
Publication Date
7-2025
Document Type
Conference Proceeding
Exhibition/Performance Dates
December 2024
Publication Title
2024 International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA)
Conference Location
Manipal, India
DOI
10.1109/ARIIA63345.2024.11051498
Abstract
Creation of a cocktail-making robot called Smartini, which is both interactive and capable of learning. Our research involved the development of the Smartini Cocktail Robot, which aimed to address the challenges of human-robot interaction and modern cocktail-making using cutting-edge technology. To achieve this, we incorporated various modes of communication, such as eye contact, gestures, and speech, and also included an entertainment system that offered news and jokes. Furthermore, Smartini was designed to learn customer preferences and adjust its recipes accordingly. Customer feedback revealed high satisfaction levels with the cocktail-making process, scoring 4.23/5. However, Smartini's movements, eye contact, and ease of communication were rated 3.54/5, possibly due to limitations in the iCub's speed and our computer's computational power. To create a truly functional and enjoyable Smartini robot, these areas need further improvement.
Keywords
Keywords Automation, Service robots, Customer satisfaction, Human-robot interaction, Entertainment industry, Computational efficiency, Intelligent systems, Optimization, Augmented reality, Testing
Department
Electrical Engineering
Recommended Citation
Kush Desai. "Evaluating User Interaction and Feedback Mechanisms in a Robotic Bartender: A Study on Smartini’s Social Interaction, Cocktail Preparation, and Customer Engagement" 2024 International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA) (2025). https://doi.org/10.1109/ARIIA63345.2024.11051498
Comments
* Kush Desai graduated from San Jose State University with a Master of Science (MS) degree in Electrical Engineering in 2021.