AI-based Confidence Level Estimation System DOI

Nishigandha Satav,

Shubham Jain,

Rutuja Shastri

и другие.

2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), Год журнала: 2023, Номер unknown, С. 1 - 7

Опубликована: Апрель 8, 2023

Confidence is an important quality that everyone should strive to possess. It belief in oneself and one's abilities. Estimation of human confidence using artificial intelligence (AI) a growing area research seeks develop algorithm model. Using machine learning algorithms, this system can accurately estimate person's level confidence. The considers various factors such as face-direction, facial expression, eye movement speech patterns determine the speaker. This motivated by potential applications technology field recruitment, education, neuroscience. Proposed will be trained on large datasets individuals with varying levels improve its accuracy performance. output categorical value represents individual, which used evaluate their performance settings, job interviews, public speaking& many more. Our also able provide explanations for predictions, enabling users understand how arrived at estimation. abstract provides overview current state art discusses some challenges opportunities lie ahead. Overall, our proposed AI-based Estimator has decision making, we believe it significant role behavioral analysis domain AI.

Язык: Английский

Understanding Users’ Confidence in Spoken Queries for Conversational Search Systems DOI

Youjing Yu,

Zhengxiang Shi, Aldo Lipani

и другие.

Communications in computer and information science, Год журнала: 2024, Номер unknown, С. 405 - 418

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

AI-based Confidence Level Estimation System DOI

Nishigandha Satav,

Shubham Jain,

Rutuja Shastri

и другие.

2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), Год журнала: 2023, Номер unknown, С. 1 - 7

Опубликована: Апрель 8, 2023

Confidence is an important quality that everyone should strive to possess. It belief in oneself and one's abilities. Estimation of human confidence using artificial intelligence (AI) a growing area research seeks develop algorithm model. Using machine learning algorithms, this system can accurately estimate person's level confidence. The considers various factors such as face-direction, facial expression, eye movement speech patterns determine the speaker. This motivated by potential applications technology field recruitment, education, neuroscience. Proposed will be trained on large datasets individuals with varying levels improve its accuracy performance. output categorical value represents individual, which used evaluate their performance settings, job interviews, public speaking& many more. Our also able provide explanations for predictions, enabling users understand how arrived at estimation. abstract provides overview current state art discusses some challenges opportunities lie ahead. Overall, our proposed AI-based Estimator has decision making, we believe it significant role behavioral analysis domain AI.

Язык: Английский

Процитировано

0