References
- Albers, M., & Still, B. (2010). Usability of complex information systems: Evaluation of user interaction. CRC Press.
- Allanic, M., Durupt, A., Joliot, M., Eynard, B., & Boutinaud, P. (2014). Towards a data model for plm application in bio-medical imaging. In 10th international symposium on tools and methods of competitive engineering (tmce 2014) (Vol.2, pp. 365–376). The Hague, The Netherlands.
- Al-Omar, K., & Rigas, D. (2009). Comparison of adaptive, adaptable and mixed-initiative menus. In Cyberworlds, 2009. cw’09. international conference on (pp. 292–297). Bradford, UK.
- Alotaibi, M. B. (2013). Adaptable and adaptive e-commerce interfaces: An empirical investigation of user acceptance. Journal of Computers, 8(8), 1923–1933. doi:10.4304/jcp.8.8.1923-1933
- Alpert, S. R., Karat, J., Karat, C.-M., Brodie, C., & Vergo, J. G. (2003). User attitudes regarding a user-adaptive ecommerce web site. User Modeling and User-Adapted Interaction, 13(4), 373–396. doi:10.1023/A:1026201108015
- Bailey, N. R., Scerbo, M. W., Freeman, F. G., Mikulka, P. J., & Scott, L. A. (2006). Comparison of a brain-based adaptive system and a manual adaptable system for invoking automation. Human Factors: the Journal of the Human Factors and Ergonomics Society, 48(4), 693–709. doi:10.1518/001872006779166280
- Bihanic, D., & Polacsek, T. (2012). Models for visualisation of complex information systems. In Information visualisation (iv), 2012 16th international conference on (pp. 130–135). Montpellier, France. doi: 10.1094/PDIS-11-11-0999-PDN
- Blom, J. (2000). Personalization: A taxonomy. In CHI’00 Extended Abstracts on Human Factors in Computing Systems (pp. 313–314). Hague, Netherlands: ACM.
- Bunt, A., Conati, C., & McGrenere, J. (2007). Supporting interface customization using a mixed-initiative approach. Proceedings of the 12th international conference on intelligent user interfaces (pp. 92–101). Honolulu, Hawaii. doi: 10.1094/PDIS-91-4-0467B
- Caldwell, B., & Mocko, G. M. (2008). Product data management in undergraduate education. Asme 2008 international design engineering technical conferences and computers and information in engineering conference (pp. 433–441). Brooklyn, NY.
- Cerny, T., & Donahoo, M. J. (2015). On separation of platform-independent particles in user interfaces. Cluster Computing, 18(3), 1215–1228. doi:10.1007/s10586-015-0471-7
- Cochran, W. G., & Cox, G. M. (1957). Experimental designs. Wiley.
- Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.
- Cooper, A., Reimann, R., Cronin, D., & Noessel, C. (2014). About face: The essentials of interaction design. Hoboken, NJ: John Wiley & Sons.
- Coskun, E., & Grabowski, M. (2005). Impacts of user interface complexity on user acceptance and performance in safety-critical systems. Journal of Homeland Security and Emergency Management, 2(1), 1–29. doi:10.2202/1547-7355.1109
- Davis, J., Tierney, A., & Chang, E. (2005). A user adaptable user interface model to support ubiquitous user access to eis style applications. Computer software and applications conference, 2005. compsac 2005. 29th annual international (Vol.1, pp. 351–358). Edinburgh, UK.
- Ding, L., Ball, A., Matthews, J., McMahon, C. A., & Patel, M. (2007). Product representation in lightweight formats for product lifecycle management (plm). 4th international conference on digital enterprise technology. Bath, UK. doi: 10.1094/PDIS-91-4-0467B
- Fan, H., & Poole, M. S. (2006). What is personalization? perspectives on the design and implementation of personalization in information systems. Journal of Organizational Computing and Electronic Commerce, 16(3–4), 179–202.
- Feigh, K. M., Dorneich, M. C., & Hayes, C. C. (2012). Toward a characterization of adaptive systems: A framework for researchers and system designers. Human Factors: the Journal of the Human Factors and Ergonomics Society, 54(6), 1008–1024. doi:10.1177/0018720812443983
- Findlater, L., & McGrenere, J. (2004). A comparison of static, adaptive, and adaptable menus. Proceedings of the sigchi conference on human factors in computing systems (pp. 89–96). Vienna, Austria.
- Gajos, K. Z., Czerwinski, M., Tan, D. S., & Weld, D. S. (2006). Exploring the design space for adaptive graphical user interfaces. Proceedings of the working conference on advanced visual interfaces (pp. 201–208). Venezia, Italy.
- Gao, J., Aziz, H., Maropoulos, P., & Cheung, W. (2003). Application of product data management technologies for enterprise integration. International Journal of Computer Integrated Manufacturing, 16(7–8), 491–500. doi:10.1080/0951192031000115813
- Goldberg, J. H., & Wichansky, A. M. (2003). Eye tracking in usability evaluation: A practitioner’s guide. In J. Hyönä, R. Radach & H. Deubel (Eds.), The Mind’s Eye (pp. 493–516). North Holland, Netherlands: Elsevier.
- Gong, Q., & Salvendy, G. (1995). An approach to the design of a skill adaptive interface. International Journal of Human-Computer Interaction, 7(4), 365–383. doi:10.1080/10447319509526131
- Hamade, R. F., Ammouri, A., & Artail, H. (2012). Toward predicting the performance of novice cad users based on their profiled technical attributes. Engineering Applications of Artificial Intelligence, 25(3), 628–639. doi:10.1016/j.engappai.2012.01.004
- Hamade, R. F., Artail, H. A., & Jaber, M. Y. (2007). Evaluating the learning process of mechanical cad students. Computers & Education, 49(3), 640–661. doi:10.1016/j.compedu.2005.11.009
- Höök, K. (1998). Evaluating the utility and usability of an adaptive hypermedia system. Knowledge-Based Systems, 10(5), 311–319. doi:10.1016/S0950-7051(97)00034-8
- Höök, K. (2000). Steps to take before intelligent user interfaces become real. Interacting with Computers, 12(4), 409–426. doi:10.1016/S0953-5438(99)00006-5
- Hudson, S. E. (1994). User interface specification using an enhanced spreadsheet model. ACM Transactions on Graphics (TOG), 13(3), 209–239. doi:10.1145/195784.195787
- Hui, S. L. T., & See, S. L. (2015). Enhancing user experience through customisation of ui design. Procedia Manufacturing, 3, 1932–1937. doi:10.1016/j.promfg.2015.07.237
- Ivanov, D., Dolgui, A., & Sokolov, B. (2012). Applicability of optimal control theory to adaptive supply chain planning and scheduling. Annual Reviews in Control, 36(1), 73–84. doi:10.1016/j.arcontrol.2012.03.006
- Jacob, R. J., & Karn, K. S. (2003). Eye tracking in human-computer interaction and usability research: Ready to deliver the promises. In J. Hyönä, R. Radach & H. Deubel (Eds.), The Mind’s Eye (pp. 573–605). North Holland, Netherlands: Elsevier.
- Jameson, A. D. (2009). Understanding and dealing with usability side effects of intelligent processing. AI Magazine, 30(4), 23. doi:10.1609/aimag.v30i4.2274
- Jiao, J., & Tseng, M. M. (2004). Customizability analysis in design for mass customization. Computer-Aided Design, 36(8), 745–757. doi:10.1016/j.cad.2003.09.012
- Jiao, J., Tseng, M. M., Duffy, V. G., & Lin, F. (1998). Product family modeling for mass customization. Computers & Industrial Engineering, 35(3–4), 495–498. doi:10.1016/S0360-8352(98)00142-9
- Kennard, R., & Leaney, J. (2010). Towards a general purpose architecture for ui generation. Journal of Systems and Software, 83(10), 1896–1906. doi:10.1016/j.jss.2010.05.079
- Kolski, C., & Le Strugeon, E. (1998). A review of intelligent human-machine interfaces in the light of the arch model. International Journal of Human-Computer Interaction, 10(3), 193–231. doi:10.1207/s15327590ijhc1003_1
- Kramer, J., Noronha, S., & Vergo, J. (2000). A user-centered design approach to personalization. Communications of the ACM, 43(8), 44–48. doi:10.1145/345124.345139
- Leonidis, A., Antona, M., & Stephanidis, C. (2012). Rapid prototyping of adaptable user interfaces. International Journal of Human-Computer Interaction, 28(4), 213–235. doi:10.1080/10447318.2011.581891
- Liu, D. T., & Xu, X. W. (2001). A review of web-based product data management systems. Computers in Industry, 44(3), 251–262. doi:10.1016/S0166-3615(01)00072-0
- Lu, X., & Wan, J. (2007). Model driven development of complex user interface. In Workshop on model driven development of advanced user interfaces (pp. 1–4). Nashville, TN. doi: 10.1094/PDIS-91-4-0467B
- Lund, A. M. (2001). Measuring usability with the use questionnaire. Usability Interface, 8(2), 3–6.
- Makris, N. (2016). Creating adaptable and adaptive user interface implementations in model driven developed software (Master Thesis). Radboud University, Nijmegen, Netherlands.
- Maranzana, N., Segonds, F., Lesage, F., & Nelson, J. (2012). Collaborative design tools: A comparison between free software and plm solutions in engineering education. Ifip international conference on product lifecycle management (pp. 547–558). Berlin, Heidelberg. doi: 10.1094/PDIS-11-11-0999-PDN
- Marsic, I., & Dorohonceanu, B. (2003). Flexible user interfaces for group collaboration. International Journal of Human-Computer Interaction, 15(3), 337–360. doi:10.1207/S15327590IJHC1503_02
- McGrenere, J., Baecker, R. M., & Booth, K. S. (2002). An evaluation of a multiple interface design solution for bloated software. Proceedings of the sigchi conference on human factors in computing systems (pp. 164–170). Minneapolis, MN.
- Mitchell, J., & Shneiderman, B. (1989). Dynamic versus static menus: An exploratory comparison. Acm SigCHI Bulletin, 20(4), 33–37. doi:10.1145/67243
- Müsseler, J. (1994). Using predictors to partition menu selection times. Behaviour & Information Technology, 13(6), 362–372. doi:10.1080/01449299408914617
- Norton, M. I., Mochon, D., & Ariely, D. (2011). The’ikea effect’: When labor leads to love. Journal of Consumer Psychology, 22(3), 453–460. doi:10.1016/j.jcps.2011.08.002
- Oppermann, R. (1994). Adaptive user support: Ergonomic design of manually and automatically adaptable software. Routledge, NY: CRC Press.
- Park, B., Song, S., Kim, J., Park, W., & Jang, H. (2007). User customization methods based on mental models: modular UI optimized for customizing in handheld device. In International Conference on Human-Computer Interaction (pp. 445–451). Berlin, Heidelberg: Springer.
- Park, J., & Han, S. H. (2011). Complementary menus: Combining adaptable and adaptive approaches for menu interface. International Journal of Industrial Ergonomics, 41(3), 305–316. doi:10.1016/j.ergon.2011.01.010
- Partarakis, N., Antona, M., Zidianakis, E., & Stephanidis, C. (2016). Adaptation and content personalization in the context of multi user museum exhibits. In Workshop on advanced visual interfaces for cultural heritage (pp. 5–10). Bari, Italy.
- Pascal, C., Blanchet, C., & Ollivier, J.-M. (2007). The value of modern decision-making support services to fusion projects. Fusion Engineering and Design, 82(15–24), 2713–2721. doi:10.1016/j.fusengdes.2007.06.037
- Philpotts, M. (1996). An introduction to the concepts, benefits and terminology of product data management. Industrial Management & Data Systems, 96(4), 11–17. doi:10.1108/02635579610117467
- Pleuss, A., Botterweck, G., & Dhungana, D. (2010). Integrating automated product derivation and individual user interface design. In Fourth International Workshop on Variability Modelling of Software-Intensive Systems (pp. 69–76). Pohang, South Korea.
- Poole, A., & Ball, L. J. (2006). Eye tracking in hci and usability research. In C. Ghaoui (Ed.), Encyclopedia of human computer interaction (Vol. 1, pp. 211–219). Hershey, PA: IGI Global.
- Qu, Q. X., Zhang, L., Chao, W. Y., & Duffy, V. (2017). User experience design based on eye-tracking technology: a case study on smartphone apps. In Duffy V. (Ed.), Advances in Applied Digital Human Modeling and Simulation. Advances in Intelligent Systems and Computing (Vol. 481, pp. 303–315). Cham: Springer.
- Qu, Q.-X., Guo, F., & Duffy, V. G. (2017). Effective use of human physiological metrics to evaluate website usability: An empirical investigation from china. Aslib Journal of Information Management, 69(4), 370–388. doi:10.1108/AJIM-09-2016-0155
- Reinecke, K., & Bernstein, A. (2011). Improving performance, perceived usability, and aesthetics with culturally adaptive user interfaces. Acm Transactions On Computer-Human Interaction (Tochi), 18(1–29), 8. doi:10.1145/1970378.1970382
- Ristic, S., Rakic-Skokovic, M., & Ali, A.-D. (2011). An overview of the approaches for a plm application’s customization. Xv international scientific conference on industrial systems (is’11) (pp. 14–16). Novi Sad, Serbia.
- Rivera, D. (2005). The effect of content customization on learnability and perceived workload. In Chi’05 extended abstracts on human factors in computing systems (pp. 1749–1752). Portland, OR.
- Rosén, J. (2006). Federated through-life support, enabling online integration of systems within the plm domain. In proceedings of the 1st nordic conference on product lifecycle management. Gothenburg, Sweden.
- Schneider-Hufschmidt, M., Malinowski, U., & Kuhme, T. (1993). Adaptive user interfaces: Principles and practice. New York, NY: Elsevier Science Inc.
- Sharma, C., & Dubey, S. K. (2014). Analysis of eye tracking techniques in usability and hci perspective. In Computing for sustainable global development (indiacom), 2014 international conference on (pp. 607–612). New Delhi, India.
- Stark J. (2015) Product Lifecycle Management. In Product Lifecycle Management (Vol. 1). Decision Engineering. Cham: Springer.
- Sundar, S. S., & Marathe, S. S. (2010). Personalization versus customization: The importance of agency, privacy, and power usage. Human Communication Research, 36(3), 298–322. doi:10.1111/hcre.2010.36.issue-3
- Tsandilas, T., & Schraefel, M. C. (2005, April). An empirical assessment of adaptation techniques. In CHI'05 Extended Abstracts on Human Factors in Computing Systems (pp. 2009–2012). Portland, OR: ACM
- Van Velsen, L., Van Der Geest, T., Klaassen, R., & Steehouder, M. (2008). User-centered evaluation of adaptive and adaptable systems: A literature review. The Knowledge Engineering Review, 23(3), 261–281. doi:10.1017/S0269888908001379
- Vicente, K. J. (2002). Ecological interface design: Progress and challenges. Human Factors: the Journal of the Human Factors and Ergonomics Society, 44(1), 62–78. doi:10.1518/0018720024494829
- Zhang, L., Qu, Q.-X., Chao, W.-Y., & Duffy, V. G. (2017). Object-oriented user interface customization: Reduce complexity and improve usability and adaptation. In International conference on digital human modeling and applications in health, safety, ergonomics and risk management (pp. 404–417). Vancouver, Canada.