SpeakEasy: A Conversational Intelligence Chatbot for Enhancing College
Students' Communication Skills
- URL: http://arxiv.org/abs/2310.14891v1
- Date: Sat, 23 Sep 2023 17:19:32 GMT
- Title: SpeakEasy: A Conversational Intelligence Chatbot for Enhancing College
Students' Communication Skills
- Authors: Hyunbae Jeon, Rhea Ramachandran, Victoria Ploerer, Yella Diekmann, Max
Bagga
- Abstract summary: SpeakEasy attempts to help college students improve their communication skills by engaging in a seven-minute spoken conversation with the user.
SpeakEasy converses with the user on a wide assortment of topics that two people meeting for the first time might discuss: travel, sports, and entertainment.
Unlike most other chatbots with the goal of improving conversation skills, SpeakEasy actually records the user speaking, transcribes the audio into tokens, and uses macros-e.g., sequences that calculate the pace of speech.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- 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 user on a wide
assortment of topics that two people meeting for the first time might discuss:
travel, sports, and entertainment. Unlike most other chatbots with the goal of
improving conversation skills, SpeakEasy actually records the user speaking,
transcribes the audio into tokens, and uses macros-e.g., sequences that
calculate the pace of speech, determine if the user has an over-reliance on
certain words, and identifies awkward transitions-to evaluate the quality of
the conversation. Based on the evaluation, SpeakEasy provides elaborate
feedback on how the user can improve their conversations. In turn, SpeakEasy
updates its algorithms based on a series of questions that the user responds to
regarding SpeakEasy's performance.
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