An Objective Handling Qualities Assessment Framework of Electric Vertical Takeoff and Landing DOI Creative Commons

Yuhan Li,

Shuguang Zhang, Yibing Wu

et al.

Aerospace, Journal Year: 2024, Volume and Issue: 11(12), P. 1020 - 1020

Published: Dec. 11, 2024

Assessing handling qualities is crucial for ensuring the safety and operational efficiency of aircraft control characteristics. The growing interest in Urban Air Mobility (UAM) has increased focus on electric Vertical Takeoff Landing (eVTOL) aircraft; however, a comprehensive assessment eVTOL remains challenge. This paper proposed framework to assess qualities, integrating pilot compensation, task performance, qualitative comments. An experiment was conducted, where eye-tracking data subjective ratings from 16 participants as they performed various Mission Task Elements (MTEs) an simulator were analyzed. relationship between compensation workload investigated based eye metrics. Data mining results revealed that pilots’ movement patterns perception change when performing involve deficiencies. Additionally, pupil size, diameter, iris interpupillary distance, iris-to-pupil ratio, gaze entropy are found be correlated with both workload. Furthermore, recognition model developed Long-Short Term Memory (LSTM), which subsequently trained evaluated experimental data, achieving accuracy 97%. A case study conducted validate effectiveness framework. Overall, addresses limitations existing Handling Qualities Rating Method (HQRM), offering more approach assessment.

Language: Английский

A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models DOI
Fan Li, Han Su, Ching‐Hung Lee

et al.

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: Jan. 19, 2025

Language: Английский

Citations

1
User Need Prediction Based on a Small Amount of User-Generated Content—A Case Study of the Xiaomi SU7 DOI Creative Commons
Lingling Liu, Biao Ma

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(12), P. 584 - 584

Published: Dec. 19, 2024

(1) Background: In the current competitive market environment, accurately forecasting user needs is crucial for business success. By analyzing user-generated content (UGC) on social network platforms, enterprises can mine potential and discern shifts in these needs, thereby enabling more efficient precise product design that aligns with needs. For newly launched products a limited presence market, scarcity of UGC poses challenge to businesses seeking predict from small datasets. (2) Methods: To address this challenge, paper proposes model using correlation analysis (CA) linear regression (LR) combined multidimensional gray prediction (a CA-LR-GM (1, N) model) help use sample data Using Xiaomi SU7 as case study, demonstrates vehicle refines outcomes through an optimization informed by principle optimal key feature distribution. (3) Results: The findings validate feasibility proposed theoretical framework, offering technical solution identification need trends. (4) Conclusions: This research puts forward strategic recommendations regarding their products.

Language: Английский

Citations

3
Understanding emotional values of bionic features for educational service robots: A cross-age examination using multi-modal data DOI
N. Y. Wang,

Zengrui Li,

Di Shi

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102956 - 102956

Published: Oct. 1, 2024

Language: Английский

Citations

1
An Objective Handling Qualities Assessment Framework of Electric Vertical Takeoff and Landing DOI Creative Commons

Yuhan Li,

Shuguang Zhang, Yibing Wu

et al.

Aerospace, Journal Year: 2024, Volume and Issue: 11(12), P. 1020 - 1020

Published: Dec. 11, 2024

Assessing handling qualities is crucial for ensuring the safety and operational efficiency of aircraft control characteristics. The growing interest in Urban Air Mobility (UAM) has increased focus on electric Vertical Takeoff Landing (eVTOL) aircraft; however, a comprehensive assessment eVTOL remains challenge. This paper proposed framework to assess qualities, integrating pilot compensation, task performance, qualitative comments. An experiment was conducted, where eye-tracking data subjective ratings from 16 participants as they performed various Mission Task Elements (MTEs) an simulator were analyzed. relationship between compensation workload investigated based eye metrics. Data mining results revealed that pilots’ movement patterns perception change when performing involve deficiencies. Additionally, pupil size, diameter, iris interpupillary distance, iris-to-pupil ratio, gaze entropy are found be correlated with both workload. Furthermore, recognition model developed Long-Short Term Memory (LSTM), which subsequently trained evaluated experimental data, achieving accuracy 97%. A case study conducted validate effectiveness framework. Overall, addresses limitations existing Handling Qualities Rating Method (HQRM), offering more approach assessment.

Language: Английский

Citations

0