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Schoorman, F. D., Mayer, R. C., & Davis, J. H. 2007. An integrative model of organizational trust: Past, present, and future. Academy of Management Briarcliff Manor, NY 10510.  
11/18/22, 12:55 PM
Madhavan, P., & Wiegmann, D. A. (2007). Similarities and differences between human--human and human--automation trust: An integrative review. Theoretical Issues in Ergonomics Science, 8(4), 277–301.  
11/18/22, 12:52 PM
Komiak, S. Y., & Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS quarterly, 941–960.  
11/18/22, 12:49 PM
Dzindolet, M. T., Peterson, S. A., Pomranky, R. A., Pierce, L. G., & Beck, H. P. (2003). The role of trust in automation reliance. International Journal of Human-Computer Studies, 58(6), 697–718.  
11/18/22, 12:43 PM
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114.  
11/18/22, 12:39 PM
Sovrano, F., & Vitali, F. (2022). Explanatory artificial intelligence (yai): Human-centered explanations of explainable ai and complex data. Data Mining and Knowledge Discovery, 1–28.  
11/17/22, 3:01 PM
Duarte, J., Siegel, S., & Young, L. (2012). Trust and credit: The role of appearance in peer-to-peer lending. The Review of Financial Studies, 25(8), 2455–2484.  
11/16/22, 4:03 PM
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.  
11/16/22, 3:58 PM
Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? workforce implications. Science, 358(6370), 1530–1534.  
11/16/22, 3:54 PM
Danks, D., & London, A. J. 2017, Algorithmic bias in autonomous systems.. Paper presented at Ijcai.  
11/16/22, 3:47 PM
Raj, M., & Seamans, R. (2019). Primer on artificial intelligence and robotics. Journal of Organization Design, 8(1), 1–14.  
11/16/22, 3:43 PM
Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627–660.  
11/16/22, 1:46 PM
Reeves, B., & Nass, C. (1996). The media equation: How people treat computers, television, and new media like real people. Cambridge, UK, 10, 236605.  
11/16/22, 1:24 PM
Broussard, M. (2018). Artificial unintelligence: How computers misunderstand the world. MIT Press.  
11/16/22, 12:17 PM
Lewis, P. R., Marsh, S., & Pitt, J. (2021). Ai vs “ai”: Synthetic minds or speech acts. IEEE Technology and Society Magazine, 40(2), 6–13.  
11/15/22, 4:13 PM
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.  
11/15/22, 1:29 PM
Yu, K., Berkovsky, S., Taib, R., Zhou, J., & Chen, F. 2019, Do i trust my machine teammate? an investigation from perception to decision. Paper presented at Proceedings of the 24th International Conference on Intelligent User Interfaces.  
11/15/22, 1:07 PM
Yin, M., Wortman Vaughan, J., & Wallach, H. 2019, Understanding the effect of accuracy on trust in machine learning models. Paper presented at Proceedings of the 2019 chi conference on human factors in computing systems.  
11/15/22, 1:01 PM
Heuser, B. (2010). The evolution of strategy: Thinking war from antiquity to the present. Cambridge Cambridge University Press.  
10/27/22, 6:35 AM
Reisert, P., Inoue, N., Okazaki, N., & Inui, K. 2015, A computational approach for generating toulmin model argumentation. Paper presented at Proceedings of the 2nd Workshop on Argumentation Mining.  
10/24/22, 2:24 PM
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WIKINDX 6.7.0 | Total resources: 1470 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)