Developing a Child-Friendly Chatbot Using GPT and OpenAI API: A Case Study

The development of modern technology has led to significant advancements in various aspects of society, including the field of artificial intelligence (AI). One of the key breakthroughs in this area is the development of large language models (LLMs), based on massive amounts of textual data. These models enable computers to comprehend and generate human language with an exceptional level of coherence and accuracy. Examples of popular language models include OpenAI's ChatGPT systems, which have found wide-ranging applications across industries-from automating customer support to creating creative content. Their ability to generate contextually appropriate responses makes them suitable for diverse scenarios. This paper provides a detailed description of the process of creating a chatbot based on the GPT-3.5 model. It outlines the steps involved in building the chatbot and connecting the model via OpenAI's API, using prompt engineering techniques. The outcome is a customized chatbot capable of generating responses suitable for children, with a special emphasis on comprehensibility and an adjusted linguistic style.

Authors

Institutions

Publication Details

Published
2025-06-02
DOI
https://doi.org/10.1109/mipro65660.2025.11131927
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing a Child-Friendly Chatbot Using GPT and OpenAI API: A Case Study

Sanja Čandrlić, Martina Ašenbrener Katić, J. Bernetic
AI in Service Interactions
article

Developing a Child-Friendly Chatbot Using GPT and OpenAI API: A Case Study

Sanja Čandrlić, Martina Ašenbrener Katić, J. Bernetic
article en

Abstract

The development of modern technology has led to significant advancements in various aspects of society, including the field of artificial intelligence (AI). One of the key breakthroughs in this area is the development of large language models (LLMs), based on massive amounts of textual data. These models enable computers to comprehend and generate human language with an exceptional level of coherence and accuracy. Examples of popular language models include OpenAI's ChatGPT systems, which have found wide-ranging applications across industries-from automating customer support to creating creative content. Their ability to generate contextually appropriate responses makes them suitable for diverse scenarios. This paper provides a detailed description of the process of creating a chatbot based on the GPT-3.5 model. It outlines the steps involved in building the chatbot and connecting the model via OpenAI's API, using prompt engineering techniques. The outcome is a customized chatbot capable of generating responses suitable for children, with a special emphasis on comprehensibility and an adjusted linguistic style.

University of Rijeka (HR)
Openalex Percentile: Top 88%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Developing a Child-Friendly Chatbot Using GPT and OpenAI API: A Case Study — Sanja Čandrlić, Martina Ašenbrener Katić, et al. · (2025) | TGRS Research Map | TGRS