Natural Language Processing and Robotics: Enabling Human-Robot Interactions in Marketing

Abstract

A new integration between Natural Language Processing and robotics comes to this field of marketing with an ability to substitute, for the very first time, much more complex, intuitive human-robot interactions in unprecedented ways. This review paper will explore the confluence between these two fields of study, how advances in NLP progress with the ability to have consumers communicate freely with robotic agents. These include the roles that NLP plays in improving customer engagement, personalizing marketing efforts, and enhancing user experience from case studies and applications up to 2020. Other challenges identified in using NLP robotics include its constraints in the understanding of context and the management of expectations and ethical issues. We offer insights into the current methodologies and technological innovation through the analytical review lens, as well as potential future directions in research for this interdisciplinary area. Consequent to this paper is to contribute toward better understanding how NLP and robotics can jointly enhance marketing practices for the production of more effective and meaningful interactions between brands and customers.