Modeling operator self-assessment in human-autonomy teaming settings
Tài liệu tham khảo
Adams, 2009, The importance of confidence in improving educational outcomes
AFP. (2020). "'Overconfident' pilot blamed for deadly Pakistan plane crash." from https://www.deccanherald.com/international/overconfident-pilot-blamed-for-deadly-pakistan-plane-crash-853349.html.
Alotaibi, E. T., Alqefari, S. S., and Koubaa, A. (2019). "LSAR: Multi-UAV collaboration for search and rescue missions." IEEE Access: 55817–55832.
Baum, 1966, Statistical inference for probabilistic functions of finite state Markov chains, he Ann. Math. Statis., 37, 1554, 10.1214/aoms/1177699147
Boussemart, 2011, Predictive models of human supervisory control behavior using hidden semi-Markov models, Eng. Appl. Artif. Intell., 24, 1252, 10.1016/j.engappai.2011.04.008
Cring, E. A., and Lenfestey, A. G. (2009). Architecting human operator trust in automation to improve system effectiveness in multiple unmanned aerial vehicles (UAV). A. F. I. o. Technology, US Air Force.
Cummings, 2014, Man vs. machine or man + machine?, IEEE Intell. Syst., 29, 62, 10.1109/MIS.2014.87
Cummings, 2016, Boredom in the workplace: a new look at an old problem, Hum. Factors, 58, 279, 10.1177/0018720815609503
Cummings, 2012, The impact of human-automation collaboration in decentralized multiple unmanned vehicle control, Proc. IEEE, 100, 660, 10.1109/JPROC.2011.2174104
Cummings, 2019, The impact of increasing autonomy on training requirements in a UAV supervisory control task, J. Cognitive Eng. Decision Making, 10.1177/1555343419868917
2020
Huang, 2013, Development and prospect of unmanned aerial vehicle technologies for agricultural production management, Int. J. Agricult. Biol. Eng., 6, 1
Hunt, 2003, The concept of knowledge and how to measure It, J. Intellect. Capital, 100, 10.1108/14691930310455414
Kruger, 1999, Unskilled and unaware of it: how difficulties in recognizing one's own incompetence lead to inflated self-assessments, J. Pers. Soc. Psychol., 77, 1121, 10.1037/0022-3514.77.6.1121
Lattanzi, 2017, Review of robotic infrastructure inspection systems, J. Infrastruct. Syst., 23, 10.1061/(ASCE)IS.1943-555X.0000353
Lee, 1994, Trust, self confidence, and operators' adaptation to automation, Int. J. Hum. Comput. Stud., 40, 153, 10.1006/ijhc.1994.1007
Lesire, 2016, A distributed architecture for supervision of autonomous multi-robot missions, Autonomous Robots, 40, 1343, 10.1007/s10514-016-9603-z
Li, 2021, Assessing the impact of autonomy and overconfidence in UAV first-person view training, Appl. Ergon.
Losey, S. (2017). "Investigators: Pilot 'overconfidence' led to Reaper crash in Afghanistan." Retrieved 28 January, 2021, from https://www.airforcetimes.com/news/your-air-force/2017/04/14/investigators-pilot-overconfidence-led-to-reaper-crash-in-afghanistan/.
Meng, 2006, Human driving behavior recognition based on hidden markov models, 274
Menouar, 2017, UAV-enabled intelligent transportation systems for the smart city: applications and challenges, IEEE Commun. Mag., 55, 22, 10.1109/MCOM.2017.1600238CM
Meyer, 2018, Guidance material for instructor and evaluator training, Montreal, Int. Air Transport Ass.
Novacek, 2017, Exploration of a confidence-based assessment tool within an aviation training program, J. Aviation/Aerospace Educ. Res., 26, 65
Parasuraman, 1993, Performance consequences of automation-induced "complacency, Int. J. Aviat. Psychol., 3, 1, 10.1207/s15327108ijap0301_1
Pavel, 2012, The dunning-kruger effect and SIUC university's aviation students, J. Aviation Technol. Eng., 2, 10.5703/1288284314864
Pentland, 1999, Modeling and prediction of human behavior, Neural Comput., 11, 229, 10.1162/089976699300016890
Pitman, 2012, Collaborative micro aerial vehicle exploration of outdoor environments, Adv. Human-Comput. Interact., 2012
Rabiner, 1986, An introduction to hidden Markov models, 3, 4
Rai-Tari, 2014, Hierarchical HMM based learning of navigation primitives for cooperative robotic endovascular catheterization
Riley, 1994, 8
Rodríguez-Fernández, 2016, Finding behavioral patterns of UAV operators using multichannel hidden markov models
Rosen, 2002, Task decomposition of laparoscopic surgery for objective evaluation of surgical residents' learning curve using hidden Markov model, Comput. Aided Surg., 7, 49, 10.3109/10929080209146016
Sarter, 1997, 1926
Scherer, 2015, An autonomous multi-UAV system for search and rescue
Schwarz, 1978, Estimating the dimension of a model, Annal. Statis., 6, 461
Shakhatreh, 2019, Unmanned aerial vehicles (UAVs): a survey on civil applications and key research challenges
Solovey, 2021, CODA: Mobile Interface for Enabling Safer Navigation of Unmanned Aerial Vehicles in Real-World Settings, Int. J. Hum. Comput. Stud., 145, 10.1016/j.ijhcs.2020.102508
Tanzi, 2014, UAVs for humanitarian missions: autonomy and reliability
Varadarajan, 2009, Data-derived models for segmentation with application to surgical assessment and training
Wheatcroft, 2017, Unmanned aerial systems (UAS) operators’ accuracy and confidence of decisions: professional pilots or video game players?, Cogent Psychol., 4, 10.1080/23311908.2017.1327628
Wright, 2017
Zhou, 2019, The impact of different levels of autonomy and training on operators’ drone control strategies, J. Human-Robot Interact., 8, 10.1145/3344276
Zhu, H. (2021). Development and Comparison of Operator Strategy Models. PhD, Duke University.
