Biological feedback in artificial intelligence systems

The purpose of the article is to show the importance of feedback in intelligent systems claiming to be human assistants and to share the experience of creating such systems. In the article, we consider several types of feedback which help to create intellectual human assistants. The choice of the feedback type is determined by the task of the system, its functionality, the hardware which is used for estimation of a person's state, and also by the necessity of personalization of the intellectual assistant - its adjustment to a particular person. We demonstrate several examples of intelligent systems for monitoring human psychophysiological state with loop and spiral feedback, show the advantages of different types of feedback and the problems associated with their organization.

Authors

Institutions

Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/lciot64881.2025.11118395
Primary Topic
Fuzzy Logic and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biological feedback in artificial intelligence systems

Olga Bureneva, Yulia Shichkina, Evgenii Salaurov, Danting Ma
Fuzzy Logic and Control Systems
article

Biological feedback in artificial intelligence systems

Olga Bureneva, Yulia Shichkina, Evgenii Salaurov, Danting Ma
article en

Abstract

The purpose of the article is to show the importance of feedback in intelligent systems claiming to be human assistants and to share the experience of creating such systems. In the article, we consider several types of feedback which help to create intellectual human assistants. The choice of the feedback type is determined by the task of the system, its functionality, the hardware which is used for estimation of a person's state, and also by the necessity of personalization of the intellectual assistant - its adjustment to a particular person. We demonstrate several examples of intelligent systems for monitoring human psychophysiological state with loop and spiral feedback, show the advantages of different types of feedback and the problems associated with their organization.

Saint Petersburg State Electrotechnical University (RU)
Openalex Percentile: Top 89%
Fuzzy Logic and Control Systems
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.