Evaluating User Interaction and Feedback Mechanisms in a Robotic Bartender: A Study on Smartini’s Social Interaction, Cocktail Preparation, and Customer Engagement

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.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/ariia63345.2024.11051498
Primary Topic
Social Robot Interaction and HRI
Type
article
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article

Evaluating User Interaction and Feedback Mechanisms in a Robotic Bartender: A Study on Smartini’s Social Interaction, Cocktail Preparation, and Customer Engagement

Kush Desai
Social Robot Interaction and HRI
article

Evaluating User Interaction and Feedback Mechanisms in a Robotic Bartender: A Study on Smartini’s Social Interaction, Cocktail Preparation, and Customer Engagement

Kush Desai
article en

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.

San Jose State University (US)
Openalex Percentile: Top 62%
Social Robot Interaction and HRI
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