SpeakEasy: A Conversational Intelligence Chatbot for Enhancing College Students' Communication Skills
Hyunbae Jeon, Rhea Ramachandran, Victoria Ploerer, Yella Diekmann, Max, Bagga

TL;DR
SpeakEasy is an intelligent conversational chatbot designed to help college students improve their communication skills through real-time analysis and personalized feedback based on speech and linguistic metrics.
Contribution
This paper introduces SpeakEasy, a novel chatbot that records, transcribes, and analyzes spoken conversations to provide targeted feedback for enhancing communication skills.
Findings
Effective speech pace analysis implemented
Identification of conversational awkwardness and word reliance
User feedback loop improves chatbot performance
Abstract
Social interactions and conversation skills separate the successful from the rest and the confident from the shy. For college students in particular, the ability to converse can be an outlet for the stress and anxiety experienced on a daily basis along with a foundation for all-important career skills. In light of this, we designed SpeakEasy: a chatbot with some degree of intelligence that provides feedback to the user on their ability to engage in free-form conversations with the chatbot. SpeakEasy attempts to help college students improve their communication skills by engaging in a seven-minute spoken conversation with the user, analyzing the user's responses with metrics designed based on previous psychology and linguistics research, and providing feedback to the user on how they can improve their conversational ability. To simulate natural conversation, SpeakEasy converses with the…
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Taxonomy
TopicsAI in Service Interactions
