Design and Evaluation of a Personalized Cancer Treatment System Using Human-Computer Interaction Techniques
- 2.1k Downloads
This paper presents a case study where Human-Computer Interaction techniques were applied in the design and evaluation of a health system. The system consisted of a software platform that supports personalized cancer chemotherapy based on a tumor chemosensitivity assay. The essential background on personalized cancer treatment is provided. The system was designed using “contextual design,” a user-centered technique that involves contextual inquiry, interpretation, work modeling, consolidation, visioning, storyboarding and paper prototyping. The most salient products from the design phase and details of the system implementation are shown. The system was assessed using the Heuristic Evaluation method, which is a usability inspection performed by experts. Results from this evaluation indicate that only one of ten heuristics was missing from the system, while five were partially covered and four were fully covered. Contextual design; heuristic evaluation; HCI techniques; personalized cancer treatment; ATP tumor chemosensitivity assay.
KeywordsContextual design Heuristic evaluation HCI techniques Personalized cancer treatment ATP tumor chemosensitivity assay
Unable to display preview. Download preview PDF.
- 1.Beyer, H., Holtzblatt, K.: Contextual design. interactions 6(1), 32-42 (Jan 1999)Google Scholar
- 2.Doern, Gary V., .B.S.M.: The clinical predictive value (or lack thereof) of the results of in vitro antimicrobial susceptibility tests. Journal of Clinical Microbiology 49, S11-S14 (2011)Google Scholar
- 3.Jacko, J.A.: The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications, 3rd ed. CRC Press (2012)Google Scholar
- 4.Jaspers, M.W.M.: A comparison of usability methods for testing interactive health technologies: Methodological aspects and empirical evidence. International journal of medical informatics 78(5), 340-353 (2009)Google Scholar
- 5.Kitano, H.: Cancer as a robust system: implications for anticancer therapy. Nat Rev Cancer 4(3), 227-235 (03 2004)Google Scholar
- 6.Kurbacher, C.M., Cree, I.A.: Chemosensitivity testing using microplate adenosine triphosphate-based luminescence measurements. Methods Mol Med 110, 101-120 (2005)Google Scholar
- 7.Lippert, T.H., Ruoff, H.J., Volm, M.: Intrinsic and acquired drug resistance in malignant tumors. the main reason for therapeutic failure. Arzneimittelforschung 58(6), 261-264 (2008)Google Scholar
- 8.Lippert, T.H., Ruoff, H.J., Volm, M.: Intrinsic and acquired drug resistance in malignant tumors. the main reason for therapeutic failure. Arzneimittelforschung 58(6), 261-264 (2008)Google Scholar
- 9.Nielsen, J., Molich, R.: Heuristic evaluation of user interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. pp. 249-256. CHI ‘90, ACM, New York, NY, USA (1990)Google Scholar
- 10.Yen, P.Y., Bakken, S.: A comparison of usability evaluation methods: Heuristic evaluation versus end-user think-aloud protocol -an example from a web-based communication tool for nurse scheduling. AMIA Annual Symposium Proceedings 2009, 714-718 (2009)Google Scholar