Advances in Psychological Science ›› 2022, Vol. 30 ›› Issue (12): 2619-2627.doi: 10.3724/SP.J.1042.2022.02619
• Conceptual Framework • Next Articles
HE Guibing(), CHEN Cheng, HE Zetong, CUI Lidan, LU Jiaqi, XUAN Hongzhou, LIN Lin
Received:
2021-12-31
Online:
2022-12-15
Published:
2022-09-23
Contact:
HE Guibing
E-mail:gbhe@zju.edu.cn
CLC Number:
HE Guibing, CHEN Cheng, HE Zetong, CUI Lidan, LU Jiaqi, XUAN Hongzhou, LIN Lin. Human-agent collaborative decision-making in intelligent organizations: A perspective of human-agent inner compatibility[J]. Advances in Psychological Science, 2022, 30(12): 2619-2627.
[1] | 陈婷, 孙晓敏. (2016). 团队决策中的共享信息偏差:基于隐藏文档范式的机制、影响因素探究. 心理科学进展, 24(1), 132-142. |
[2] | 管文颖. (2006). 团队决策中共享心理模型演化的影响因素研究 (硕士学位论文). 浙江大学, 杭州. |
[3] | 何贵兵. (2002). 群体动态决策的适应性行为及其内隐学习机制 (博士学位论文). 浙江大学, 杭州. |
[4] | 黄德斌. (2007). 团队决策中共享心理模型演化的STC机制研究 (硕士学位论文). 浙江大学, 杭州. |
[5] | 刘文川, 唐坚, 吴超. (2019). 人工智能与领导力: 基于复杂大数据支撑的政府决策机制研究. 改革与开放, 11, 42-46. |
[6] | 许为, 葛列众. (2020). 智能时代的工程心理学. 心理科学进展, 28(9), 1409-1425. |
[7] | Bubb, H. (1993). Systemergonomie. In H. Schmidtke (Ed.), Ergonomie (pp. 333-420). München, Germany: CarlHanser. |
[8] |
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.
doi: 10.1002/bdm.2155 |
[9] | Cannon-Bowers, J. A., Salas, E., & Converse, S. (1993). Shared mental models in expert team decision making. In N. J. Castellan, Jr. (Ed.), Individual and group decision making: Current issues (pp.221-246). Lawrence Erlbaum Associates, Inc. |
[10] | Chamorro-Premuzic, T., & Ahmetoglu, G. (2016). The pros and cons of robot managers. Harvard Business Review, 12, 2-5. |
[11] | Christoffersen, K., & Woods, D. D. (2002). How to make automated systems team players. In E. Salas (Ed.), Advances in human performance and cognitive engineering research (Vol. 2, pp. 1-12). Bingley, UK: Emerald Group. |
[12] |
Coll, R., & Coll, J. H. (1989). Cognitive match interface design, a base concept for guiding the development of user friendly computer application packages. Journal of Medical Systems, 13(4), 227-235.
pmid: 2592875 |
[13] | Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116. |
[14] |
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
doi: 10.1287/mnsc.35.8.982 URL |
[15] |
Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human- Computer Studies, 45(1), 19-45.
doi: 10.1006/ijhc.1996.0040 URL |
[16] |
Demir, M., McNeese, N. J., & Cooke, N. J. (2020). Understanding human-robot teams in light of all-human teams: Aspects of team interaction and shared cognition. International Journal of Human-Computer Studies, 140, Article 102436.
doi: 10.1016/j.ijhcs.2020.102436 URL |
[17] | Dewhurst, M., & Willmott, P. (2014). Manager and machine: The new leadership equation. McKinsey Quarterly, 4(3), 76-86. |
[18] |
Dineen, B. R., Noe, R. A., & Wang, C. (2004). Perceived fairness of web-based applicant screening procedures: Weighing the rules of justice and the role of individual differences. Human Resource Management, 43(2-3), 127-145.
doi: 10.1002/hrm.20011 URL |
[19] |
Dirks, K. T., & Ferrin, D. L. (2001). The role of trust in organizational settings. Organization Science, 12(4), 450-467.
doi: 10.1287/orsc.12.4.450.10640 URL |
[20] |
Fan, X., & Yen, J. (2010). Modeling cognitive loads for evolving shared mental models in human-agent collaboration. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 41(2), 354-367.
doi: 10.1109/TSMCB.2010.2053705 URL |
[21] | Flemisch, F., Kelsch, J., Löper, C., Schieben, A., & Schindler, J. (2008). Automation spectrum, inner/outer compatibility and other potentially useful human factors concepts for assistance and automation. In D. de Waard, F. O. Flemisch, B. Lorenz, H. Oberheid, & K. A. Brookhuis (Eds.), Human Factors for assistance and automation (pp. 1-16). Maastricht, the Netherlands: Shaker Publishing. |
[22] |
Ghislieri, C., Molino, M., & Cortese, C. G. (2018). Work and Organizational Psychology Looks at the Fourth Industrial Revolution: How to Support Workers and Organizations? Frontiers in Psychology, 9, Article 2365.
doi: 10.3389/fpsyg.2018.02365 pmid: 30546335 |
[23] |
Hafenbrädl, S., Waeger, D., Marewski, J. N., & Gigerenzer, G. (2016). Applied decision making with fast-and-frugal heuristics. Journal of Applied Research in Memory and Cognition, 5(2), 215-231.
doi: 10.1016/j.jarmac.2016.04.011 URL |
[24] |
Hancock, P. A., Billings, D. R., Schaefer, K. E., Chen, J. Y. C., de Visser, E. J., & Parasuraman, R. (2011). A meta-analysis of factors affecting trust in human-robot interaction. Human Factors, 53(5), 517-527.
pmid: 22046724 |
[25] | Harms, P. D., & Han, G. (2019). Algorithmic leadership: The future is now. Journal of Leadership Studies, 12(4), 74-75. |
[26] | Jonker, C., Van Riemsdijk, M., & Vermeulen, B. (2010, May). Shared Mental Models: A Conceptual Analysis. Proceedings of 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto, Canada. |
[27] |
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25.
doi: 10.1016/j.bushor.2018.08.004 URL |
[28] |
Lam, S. S., & Schaubroeck, J. (2011). Information sharing and group efficacy influences on communication and decision quality. Asia Pacific Journal of Management, 28(3), 509-528.
doi: 10.1007/s10490-009-9183-y URL |
[29] |
Langer, M., König, C. J., Gebhard, P., & André, E. (2016). Dear computer, teach me manners: Testing virtual employment interview training. International Journal of Selection and Assessment, 24(4), 312-323.
doi: 10.1111/ijsa.12150 URL |
[30] |
Larson, J. R., Christensen, C., Abbott, A. S., & Franz, T. M. (1996). Diagnosing groups: Charting the flow of information in medical decision-making teams. Journal of Personality and Social Psychology, 71(2), 315-330.
pmid: 8765484 |
[31] |
Lee, J. D., & See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 46(1), 50-80.
pmid: 15151155 |
[32] | Lee, M. K. (2018). Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management. Big Data & Society, 5(1), 1-16. |
[33] |
Lim, B. C., & Klein, K. J. (2006). Team mental models and team performance: A field study of the effects of team mental model similarity and accuracy. Journal of Organizational Behavior, 27(4), 403-418.
doi: 10.1002/job.387 URL |
[34] |
Lim, J. S., & O'Connor, M. (1996). Judgmental forecasting with interactive forecasting support systems. Decision Support Systems, 16(4), 339-357.
doi: 10.1016/0167-9236(95)00009-7 URL |
[35] |
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.
doi: 10.1080/14639220500337708 URL |
[36] |
Mathieu, J. E., Heffner, T. S., Goodwin, G. F., Salas, E., & Cannon-Bowers, J. A. (2000). The influence of shared mental models on team process and performance. Journal of Applied Psychology, 85(2), 273-283.
pmid: 10783543 |
[37] | Mittu, R., Sofge, D., Wagner, A., & Lawless, W. F. (2016). Robust intelligence and trust in autonomous systems. Boston, MA: Springer. |
[38] |
Mohammed, S., & Dumville, B. C. (2001). Team mental models in a team knowledge framework: Expanding theory and measurement across disciplinary boundaries. Journal of Organizational Behavior, 22(2), 89-106.
doi: 10.1002/job.86 URL |
[39] |
Naim, I., Tanveer, M. I., Gildea, D., & Hoque, M. E. (2016). Automated analysis and prediction of job interview performance. IEEE Transactions on Affective Computing, 9(2), 191-204.
doi: 10.1109/TAFFC.2016.2614299 URL |
[40] |
Ötting, S. K., & Maier, G. W. (2018). The importance of procedural justice in human-machine interactions: Intelligent systems as new decision agents in organizations. Computers in Human Behavior, 89, 27-39.
doi: 10.1016/j.chb.2018.07.022 URL |
[41] |
Parry, K., Cohen, M., & Bhattacharya, S. (2016). Rise of the machines: A critical consideration of automated leadership decision making in organizations. Group and Organization Management, 41(5), 571-594.
doi: 10.1177/1059601116643442 URL |
[42] |
Schaefer, K. E., Chen, J. Y. C., Szalma, J. L., & Hancock, P. A. (2016). A meta-analysis of factors influencing the development of trust in automation: Implications for understanding autonomy in future systems. Human Factors, 58(3), 377-400.
doi: 10.1177/0018720816634228 pmid: 27005902 |
[43] |
Scheutz, M., DeLoach, S. A., & Adams, J. A. (2017). A framework for developing and using shared mental models in human-agent teams. Journal of Cognitive Engineering and Decision Making, 11(3), 203-224.
doi: 10.1177/1555343416682891 URL |
[44] |
Sieck, W. R., & Arkes, H. R. (2005). The recalcitrance of overconfidence and its contribution to decision aid neglect. Journal of Behavioral Decision Making, 18(1), 29-53.
doi: 10.1002/bdm.486 URL |
[45] |
Stasser, G., & Titus, W. (1985). Pooling of unshared information in group decision making: Biased information sampling during discussion. Journal of Personality and Social Psychology, 48(6), 1467-1478.
doi: 10.1037/0022-3514.48.6.1467 URL |
[46] |
Stasser, G., & Titus, W. (1987). Effects of information load and percentage of shared information on the dissemination of unshared information during group discussion. Journal of Personality and Social Psychology, 53(1), 81-93.
doi: 10.1037/0022-3514.53.1.81 URL |
[47] |
Wynne, K. T., & Lyons, J. B. (2018). An integrative model of autonomous agent teammate-likeness. Theoretical Issues in Ergonomics Science, 19(3), 353-374.
doi: 10.1080/1463922X.2016.1260181 URL |
[48] |
Yokoi, R., & Nakayachi, K. (2021). The effect of value similarity on trust in the automation systems: A case of transportation and medical care. International Journal of Human-Computer Interaction, 37(13), 1269-1282.
doi: 10.1080/10447318.2021.1876360 URL |
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