| Abbass, H. A. (2019). Social integration of artificial intelligence: Functions, automation allocation logic and human-autonomy trust. Cognitive Computation, 11(2), 159–171. |
|
| 21/06/2021, 11:26 |
|
| Adadi, A., & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable artificial intelligence (xai). IEEE Access, 6, 52138–52160. |
|
| 29/06/2020, 16:09 |
|
| Alberts, D. S., & Hayes, R. E. (2003). Power to the edge: Command... control... in the information age Office of the Assistant Secretary of Defense Washington DC Command and~…. |
|
| 22/02/2022, 10:00 |
|
| Balzarini, R., & Jambon, F. 2018, From map to sky: An empirical study on visual strategies of expert pilots. Paper presented at Eye Tracking for Spatial Research, Proceedings of the 3rd International Workshop. |
|
| 15/10/2020, 16:15 |
|
| Benton, J., Smith, D. E., Kaneshige, J., Keely, L., & Stucky, T. 2018, Chap-e: A plan execution assistant for pilots.. Paper presented at ICAPS. |
|
| 15/10/2020, 17:07 |
|
| Bertossi, L., & Geerts, F. (2020). Data quality and explainable ai. Journal of Data and Information Quality (JDIQ), 12(2), 1–9. |
|
| 22/07/2020, 16:04 |
|
| Borgefalk, G., & de Leon, N. 2019, The ethics of persuasive technologies in pervasive industry platforms: The need for a robust management and governance framework. Paper presented at International Conference on Persuasive Technology. |
|
| 21/09/2020, 14:40 |
|
| Bosch, K., & Bronkhorst, A. 2018, Human-ai cooperation to benefit military decision making. Paper presented at Proceedings of the NATO IST-160 Specialist'meeting on Big Data and Artificial Intelligence for Military Decision Making, Bordeaux, F, 30 May-1 June 2018, S3-1/1-S3-1/12. |
|
| 29/06/2020, 14:34 |
|
| Broussard, M. (2018). Artificial unintelligence: How computers misunderstand the world. MIT Press. |
|
| 16/11/2022, 12:17 |
|
| Brown, L. (2019). Augmented reality in international pilot training to meet training demands. Univ of Michigan. |
|
| 15/10/2020, 17:33 |
|
| Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? workforce implications. Science, 358(6370), 1530–1534. |
|
| 16/11/2022, 15:54 |
|
| Buccinca, Z., Malaya, M. B., & Gajos, K. Z. (2021). To trust or to think: Cognitive forcing functions can reduce overreliance on ai in ai-assisted decision-making. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1–21. |
|
| 13/07/2023, 18:56 |
|
| Burton, J. W., Stein, M.-K., & Jensen, T. B. (2020). A systematic review of algorithm aversion in augmented decision making. Journal of Behavioral Decision Making, 33(2), 220–239. |
|
| 13/10/2020, 09:29 |
|
| Cerrato, P., & Halamka, J. (2020). Reinventing clinical decision support: Data analytics, artificial intelligence, and diagnostic reasoning. Taylor & Francis. |
|
| 15/10/2020, 16:48 |
|
| Chakraborti, T., Sreedharan, S., & Kambhampati, S. (2020). The emerging landscape of explainable ai planning and decision making. arXiv preprint arXiv:2002.11697. |
|
| 22/07/2020, 16:12 |
|
| Chakraborty, A. (2020). Technology to combat cyber attacks by artificial intelligence. International Journal of Progressive Research in Science and Engineering, 1(3), 149–153. |
|
| 21/09/2020, 14:29 |
|
| Chatzimparmpas, A., Martins, R. M., Jusufi, I., Kucher, K., Rossi, F., & Kerren, A. 2020, The state of the art in enhancing trust in machine learning models with the use of visualizations. Paper presented at Computer Graphics Forum. |
|
| 15/11/2022, 13:29 |
|
| Cho, J. E., & Hu, H. (2009). The effect of service quality on trust and commitment varying across generations. International journal of consumer studies, 33(4), 468–476. |
|
| 16/11/2022, 15:58 |
|
| Claverie, B. 2022. What is cognition? and how to make it one of the ways of the war?. NATO Collaboration Support Office. |
|
| 17/11/2023, 15:07 |
|
| Clay, V., K"onig, P., & K"onig, S. U. (2019). Eye tracking in virtual reality. Journal of Eye Movement Research, 12(1). |
|
| 15/10/2020, 16:10 |
|
