GenAIbot Conversations in British vs. American English

Written by textmodels | Published 2024/04/29
Tech Story Tags: ai-in-education | chemistry-education | agents-to-think-with | genaibots | edtech | future-of-education | ai-linguistic-analysis | critical-thinking

TLDRThis analysis delves into the linguistic dynamics of GenAIbot interactions, highlighting the participant's preference for British English against the typically American English responses from the AI. It provides valuable insights into language variations and authenticity in AI conversations across different language contexts. via the TL;DR App

Authors:

(1) Renato P. dos Santos, CIAGE – Centre for Generative Artificial Intelligence in Cognition and Education.

Table of Links

Abstract and Introduction

Materials And Methods

Results and Analyses

Prompts and generated texts

Conceptualizing chemical reactions

Deepening on understanding of chemical reactions

Question about combustion

Question about a graph of gases turning into water over time

Question about the difference between atoms, molecules, and moles

Deepening on the concept of mole

Question about changing of state

Question about an animated representation of water molecules undergoing phase changes

Question about plasma, a state of matter

Question about chemical bondings

Question about illustration of chemical bonds

Question about the essence of the type of chemical bonding

Further analysis

Conclusions

Limitations of the study and possible future studies

Author Contributions, Conflicts of interest, Acknowledgements, and References

Results and Analyses

It is essential to highlight that the participant preferred to communicate in British English, while the GenAIbots typically responded in American English. This distinction in language use was preserved to represent the participant and the GenAIbots' exchange authentically. Also, an attempt was made to preserve the original graphic formatting of the responses from each AIs as much as possible.

This paper is available on arxiv under CC BY-SA 4.0 DEED license.


Written by textmodels | We publish the best academic papers on rule-based techniques, LLMs, & the generation of text that resembles human text.
Published by HackerNoon on 2024/04/29