CHEERBOT-Reference-Cited by-同舟云学术

CHEERBOT

Published:2019 Issue: Volume: Page:306-322
ISSN:2327-3305
Container-title:Advances in Wireless Technologies and Telecommunication
language:
Short-container-title:

Author:

Maniyar Chintan Bimal¹^ORCID,Bhatt Chintan M.¹,Pandit Tejas Nimeshkumar¹,Yadav Dewanshi Harishankar¹

Affiliation:

1. Charotar University of Science and Technology, India

Abstract

The objective of this chapter is to discuss the authors' interaction and involvement with technology and bots, opening a whole new and wide scope of possibilities while letting bots comfort us. The prevalence of bots and automation is increasing by every passing day – Cortana, Siri have been here for a long time and have now been overtaken by Alexa and other home automation systems that provide a two-way dialogue conversations. This chapter explores the possibilities of creating bots that can cheer us up when we are sad. Analyzing the semantics of our sentences and analyzing the pitch of our voice to identify our emotional state, and then providing an n-way dialogue conversation, relevant to the then existing context, instead of the mundane two-way dialogue conversation is the lucid content of this chapter. Summing it up, this chapter examines the possibility of creating bots that can serve as an emotional support to us humans.

Publisher

IGI Global

Reference16 articles.

1. Banchs, R. E., & Li, H. (2012). Iris: a chat-oriented dialogue system based on the vector space model. Proceedings of the ACL 2012 System Demonstrations, Association for Computational Linguistics, 37-42.

2. Behera, B. (2016). Chappie - A Semi-Automatic Intelligent Chatbot. LCPST. Retrieved from https://www.chatbots.org/paper/chappie_-_a_semi-automatic_intelligent_chatbot/

3. Bigham, J. P., Aller, M. B., Brudvik, J. T., Leung, J. O., Yazzolino, L. A., & Ladner, R. E. (n.d.). Inspiring blind high school students to pursue computer science with instant messaging chatbots. ACM SIGCSE Bulletin, 40, 449-453.

4. Daly, L. (2011). An interactive guide to writing bots in Python. Retrieved from https://apps.worldwritable.com/tutorials/chatbot/

5. Detection and Analysis of Human Emotions through Voice and Speech Pattern Processing