133 related articles for article (PubMed ID: 37793896)
1. Eye-Tracking in Physical Human-Robot Interaction: Mental Workload and Performance Prediction.
Upasani S; Srinivasan D; Zhu Q; Du J; Leonessa A
Hum Factors; 2024 Aug; 66(8):2104-2119. PubMed ID: 37793896
[TBL] [Abstract][Full Text] [Related]
2. Eye-Tracking Metrics Predict Perceived Workload in Robotic Surgical Skills Training.
Wu C; Cha J; Sulek J; Zhou T; Sundaram CP; Wachs J; Yu D
Hum Factors; 2020 Dec; 62(8):1365-1386. PubMed ID: 31560573
[TBL] [Abstract][Full Text] [Related]
3. Prediction of cognitive conflict during unexpected robot behavior under different mental workload conditions in a physical human-robot collaboration.
John AR; Singh AK; Gramann K; Liu D; Lin CT
J Neural Eng; 2024 Mar; 21(2):. PubMed ID: 38295415
[No Abstract] [Full Text] [Related]
4. Multiple processes independently predict motor learning.
Perry CM; Singh T; Springer KG; Harrison AT; McLain AC; Herter TM
J Neuroeng Rehabil; 2020 Nov; 17(1):151. PubMed ID: 33203416
[TBL] [Abstract][Full Text] [Related]
5. Changes in Mental Workload and Motor Performance Throughout Multiple Practice Sessions Under Various Levels of Task Difficulty.
Jaquess KJ; Lo LC; Oh H; Lu C; Ginsberg A; Tan YY; Lohse KR; Miller MW; Hatfield BD; Gentili RJ
Neuroscience; 2018 Nov; 393():305-318. PubMed ID: 30266685
[TBL] [Abstract][Full Text] [Related]
6. Insights From Pupil Size to Mental Workload of Surgical Residents: Feasibility of an Educational Computer-Based Surgical Simulation Environment (ECE) Considering the Hand Condition.
Menekse Dalveren GG; Cagiltay NE; Ozcelik E; Maras H
Surg Innov; 2018 Dec; 25(6):616-624. PubMed ID: 30205777
[TBL] [Abstract][Full Text] [Related]
7. Gaze entropy metrics for mental workload estimation are heterogenous during hands-off level 2 automation.
Goodridge CM; Gonçalves RC; Arabian A; Horrobin A; Solernou A; Lee YT; Lee YM; Madigan R; Merat N
Accid Anal Prev; 2024 Jul; 202():107560. PubMed ID: 38677239
[TBL] [Abstract][Full Text] [Related]
8. Human interaction with robotic systems: performance and workload evaluations.
Reinerman-Jones L; Barber DJ; Szalma JL; Hancock PA
Ergonomics; 2017 Oct; 60(10):1351-1368. PubMed ID: 28745552
[TBL] [Abstract][Full Text] [Related]
9. Motor Performance, Mental Workload and Self-Efficacy Dynamics during Learning of Reaching Movements throughout Multiple Practice Sessions.
Shuggi IM; Oh H; Wu H; Ayoub MJ; Moreno A; Shaw EP; Shewokis PA; Gentili RJ
Neuroscience; 2019 Dec; 423():232-248. PubMed ID: 31325564
[TBL] [Abstract][Full Text] [Related]
10. Optimizing Human-Robot Teaming Performance through Q-Learning-Based Task Load Adjustment and Physiological Data Analysis.
Korivand S; Galvani G; Ajoudani A; Gong J; Jalili N
Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732923
[TBL] [Abstract][Full Text] [Related]
11. Estimating mental workload through event-related fluctuations of pupil area during a task in a virtual world.
Reiner M; Gelfeld TM
Int J Psychophysiol; 2014 Jul; 93(1):38-44. PubMed ID: 24291237
[TBL] [Abstract][Full Text] [Related]
12. Mental workload associated with operating an agricultural sprayer: an empirical approach.
Dey AK; Mann DD
J Agric Saf Health; 2011 Apr; 17(2):91-110. PubMed ID: 21675281
[TBL] [Abstract][Full Text] [Related]
13. Physiological Indicators of Fluency and Engagement during Sequential and Simultaneous Modes of Human-Robot Collaboration.
Ramadurai S; Gutierrez C; Jeong H; Kim M
IISE Trans Occup Ergon Hum Factors; 2024; 12(1-2):97-111. PubMed ID: 38047355
[TBL] [Abstract][Full Text] [Related]
14. Detection of Changes in Surgical Difficulty: Evidence From Pupil Responses.
Zheng B; Jiang X; Atkins MS
Surg Innov; 2015 Dec; 22(6):629-35. PubMed ID: 25759398
[TBL] [Abstract][Full Text] [Related]
15. The psychometrics of mental workload: multiple measures are sensitive but divergent.
Matthews G; Reinerman-Jones LE; Barber DJ; Abich J
Hum Factors; 2015 Feb; 57(1):125-43. PubMed ID: 25790574
[TBL] [Abstract][Full Text] [Related]
16. Imposing Motion Variability for Ergonomic Human-Robot Collaboration.
Zolotas M; Luo R; Bazzi S; Saha D; Mabulu K; Kloeckl K; Padır T
IISE Trans Occup Ergon Hum Factors; 2024; 12(1-2):123-134. PubMed ID: 38498062
[TBL] [Abstract][Full Text] [Related]
17. A comparison of the psychological effects of robot motion in physical and virtual environments.
Sanders NE; Xie Z; Chen KB
Appl Ergon; 2023 Oct; 112():104039. PubMed ID: 37320910
[TBL] [Abstract][Full Text] [Related]
18. Toward a tactile language for human-robot interaction: two studies of tacton learning and performance.
Barber DJ; Reinerman-Jones LE; Matthews G
Hum Factors; 2015 May; 57(3):471-90. PubMed ID: 25875436
[TBL] [Abstract][Full Text] [Related]
19. Effects of control order, augmented feedback, input device and practice on tracking performance and perceived workload.
Hancock PA
Ergonomics; 1996 Sep; 39(9):1146-62. PubMed ID: 8681935
[TBL] [Abstract][Full Text] [Related]
20. Eye-Tracking Indicators of Workload in Surgery: A Systematic Review.
Tolvanen O; Elomaa AP; Itkonen M; Vrzakova H; Bednarik R; Huotarinen A
J Invest Surg; 2022 Jun; 35(6):1340-1349. PubMed ID: 35038963
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]