Carl Westin

234 References 200 Chen, J. Y. C., Procci, K., Boyce, M. W., Wright, J., Garcia, A., and Barnes, M. J., “Situa- tion awareness-based agent transparency,” Arl-tr-6905, Army Res. Lab., Aberdeen Proving Ground, MD, Apr. 2014. 201 Ricci, F., Rokach, L., and Shapira, B., Recommender systems handbook , Springer, New York, NY, 2nd ed., 2015. 202 Nielsen, J., Usability engineering , Academic, Boston, MA, 1993. 203 Letsu-Dake, E., Rogers, W., Whitlow, S. D., Nelson, E., Dillard, M., Dorneich, M. C., and Dudley, R., “Flight deck information automation: A human-in-the-loop in trail procedure simulation study,” 34th DASC , Prague, Czech Republic, 2015, pp. 3D1–1–3D1–12. 204 Brown, J. S., “Toward a new epistemology for learning,” Intelligent tutoring systems: At the crossroads of artificial intelligence and education , edited by J. Frasson and J. Gauthiar, Ablex, Norwood, NJ, 1990, pp. 266–282. 205 Endsley, M. R., “Toward a theory of situation awareness in dynamic systems,” Hum. Factors , Vol. 37, No. 1, 1995, pp. 32–64. 206 Rao, A. S. and Georgeff, M. P., “BDI agents: From theory to practice,” Proc. ICMAS , San Fran- sisco, CA, Jun. 12-14 1995, pp. 312–319. 207 Beck, H. P., Dzindolet, M. T., and Pierce, L. G., “Automation usage decisions: Controlling intent and appraisal errors in a target detection task,” Hum. Factors , Vol. 49, No. 3, 2007, pp. 429– 437. 208 Thong, N. T. and Son, L. H., “HIFCF: An effective hybrid model between picture fuzzy cluster- ing and intuitionistic fuzzy recommender systems for medical diagnosis,” Expert Syst. Appl. , Vol. 42, No. 7, 2015, pp. 3682–3701. 209 Wang, W. and Benbasat, I., “Recommendation agents for electronic commerce: Effects of expla- nation facilities on trusting beliefs,” J. Manage. Inform. Syst. , Vol. 23, No. 4, 2007, pp. 217– 246. 210 Herlocker, J. L., Konstan, J. A., Terveen, L. G., and Riedl, J. T., “Evaluating collaborative filtering recommender systems,” ACM Trans. Inform. Syst. , Vol. 22, No. 1, 2004, pp. 5–453. 211 Tintarev, N. and Masthoff, J., “Explaining recommendations: Design and evaluation,” Recom- mender systems handbook , edited by F. Ricci, L. Rokach, and B. Shapira, Springer, New York, NY, 2nd ed., 2015, pp. 353–382. 212 Ricci, F., Rokach, L., and Shapira, B., “Recommender systems: Introduction and challenges,” Recommender systems handbook , edited by F. Ricci, L. Rokach, and B. Shapira, Springer, New York, NY, 2nd ed., 2015, pp. 1–34. 213 Herlocker, J. L., Konstan, J. A., and Riedl, J. T., “Explaining collaborative filtering recommenda- tions,” Proc. CSCW , ACM, Philadelphia, PA, Dec. 2-6 2000, pp. 241–250. 214 Schaffer, J., Giridhar, P., Jones, D., H¨ollerer, T., Abdelzaher, T., and O’Donovan, J., “Getting the message?: A study of explanation interfaces for microblog data analysis,” 20th ACM IUI , ACM, Atlanta, GA, Mar. 29 - Apr. 1 2015, pp. 345–356. 215 Boyce, M. W., Chen, J. Y. C., Selkowitz, A. R., and Lakhmani, S. G., “Agent transparency for an autonomous squad member,” Arl-tr-7298, Army Res. Lab., Aberdeen Proving Ground, MD, May 2015. 216 Selkowitz, A. R., Lakhmani, S. G., Larios, C. N., and Chen, J. Y. C., “Agent transparency and the autonomous squad member,” Proc. HFES 60th Annual Meeting , Vol. 60, No. 1, Washington, DC, Sep. 19-23 2016, pp. 1319–1323. 217 G¨oritzlehner, R., Borst, C., Ellerbroek, J., Westin, C., van Paassen, M. M., and Mulder, M., “Ef- fects of transparency on the acceptance of automated resolution advisories,” IEEE SMC , San Diego, CA, Oct. 5-8 2014, pp. 2965–2970.