ImpactBot: Chatbot Leveraging Language Models to Automate Feedback and Promote Critical Thinking Around Impact Statements

Author:

Mukherjee Anwesha1ORCID,Santana Vagner Figueredo De2ORCID,Baria Alexis2ORCID

Affiliation:

1. Department of Computer Science, Stanford University, United States and IBM Research, IBM Research, United States

2. IBM Research, IBM Research, United States

Publisher

ACM

Reference17 articles.

1. Bayan AbuShawar and Eric Atwell . 2016 . Automatic extraction of chatbot training data from natural dialogue corpora . In RE-WOCHAT: Workshop on Collecting and Generating Resources for Chatbots and Conversational Agents-Development and Evaluation. 29–38 . Bayan AbuShawar and Eric Atwell. 2016. Automatic extraction of chatbot training data from natural dialogue corpora. In RE-WOCHAT: Workshop on Collecting and Generating Resources for Chatbots and Conversational Agents-Development and Evaluation. 29–38.

2. I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents

3. Carolyn Ashurst Emmie Hine Paul Sedille and Alexis Carlier. 2021. AI Ethics Statements - Analysis and lessons learnt from NeurIPS Broader Impact Statements. arXiv:2111.01705https://arxiv.org/abs/2111.01705 Carolyn Ashurst Emmie Hine Paul Sedille and Alexis Carlier. 2021. AI Ethics Statements - Analysis and lessons learnt from NeurIPS Broader Impact Statements. arXiv:2111.01705https://arxiv.org/abs/2111.01705

4. Managing the Emotions of Competition and Recognition in Academia

5. Chatbot-facilitated Nursing Education: Incorporating a Knowledge-Based Chatbot System into a Nursing Training Program;Chang Ching-Yi;Educational Technology & Society,2022

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