Creating a Health Chatbot That Makes Recommendations to People Based on Their Characteristics, Current Lifestyle and Health Goals

Chatbots have become pervasive in our society. While capable of doing impressive things, most chatbots do not discriminate among users, providing similar answers to the same queries posed by different users. However, different people can ask the same question for different reasons or with different needs and providing each one with the same response may not be optimal. For example, advising a questioner who asks for diet recommendations to give up all sweets is generally good advice by ill-advised if the person is known to love sweets. Instead, the chatbot should take into account information about the person in formulating its answer. The present paper describes the creation of a health chatbot that integrates with My Youthspan©, a health and longevity product that uses extensive information about a person’s characteristics.

Authors

Institutions

Publication Details

Journal
International Journal of Social Science and Economic Research
Published
2025-01-01
DOI
https://doi.org/10.46609/ijsser.2025.v10i06.034
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Creating a Health Chatbot That Makes Recommendations to People Based on Their Characteristics, Current Lifestyle and Health Goals

Deepak Kumar, Taruna Agarwal, John Leddo, Ajay Raju et al.
International Journal of Social Science and Economic Research
Digital Mental Health Interventions
article

Creating a Health Chatbot That Makes Recommendations to People Based on Their Characteristics, Current Lifestyle and Health Goals

Deepak Kumar, Taruna Agarwal, John Leddo, Ajay Raju, Ashwin Menachery, Krish Tripathy, Sambhav Jain, Anand Prakash Dubey, Dev Agarwal, S. Salam, Yousef Malik, Sreeja Sambhuni, Dheenav Rallabandi, Srikaran Yelimati, Ishwarya Ramineni, Kriti Regandla, Adarsh Danda, Ishaan Achalla, Rahul Amarneni, Sruthi Mannepalli, Dhanv Chappalle, Pranavha Kumarsub, Aarush Penmetsa, Shriya Sethuraj, Maruti Pariti, Maahika Challagulla, Tatva Duggineni, Ishika Samala
article en

Abstract

Chatbots have become pervasive in our society. While capable of doing impressive things, most chatbots do not discriminate among users, providing similar answers to the same queries posed by different users. However, different people can ask the same question for different reasons or with different needs and providing each one with the same response may not be optimal. For example, advising a questioner who asks for diet recommendations to give up all sweets is generally good advice by ill-advised if the person is known to love sweets. Instead, the chatbot should take into account information about the person in formulating its answer. The present paper describes the creation of a health chatbot that integrates with My Youthspan©, a health and longevity product that uses extensive information about a person’s characteristics.

International Journal of Social Science and Economic ResearchVol. 10(06)
The Myositis Association (US)
Openalex Percentile: Top 78%
Digital Mental Health Interventions
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.