Page 459 -

450 CHAPTER 14 Online and ubiquitous HCI research

Menefee, H.K., Thompson, M.J., Guterbock, T.M., Williams, I.C., Valdez, R.S., 2016. Mechanisms
of communicating health information through Facebook: implications for consumer health in-
formation technology design. Journal of Medical Internet Research 18 (8), e218.
Meyer, J., Bederson, B., 1998. Does a Sketchy Appearance Influence Drawing Behavior?
Human Computer Interaction Lab Tech Report. University of Maryland. Retrieved March
20, 2017 from http://hcil2.cs.umd.edu/trs/98-12/98-12.pdf.
Micallef, L., Dragicevic, P., Fekete, J.D., 2012. Assessing the effect of visualizations on Bayesian
reasoning through crowdsourcing. IEEE Transactions on Visualization and Computer
Graphics 18 (12), 2536–2545.
Michelucci, P., Shanley, L., Dickinson, J., Hirsh, H., 2015. A U.S. Research Roadmap for
Human Computation. Computing Community Consortium Technical Report. Available at
https://arxiv.org/ftp/arxiv/papers/1505/1505.07096.pdf (accessed April 8, 2017).
Morris, R.R., Schueller, S.M., Picard, R.W., 2015. Efficacy of a web-based, crowdsourced
peer-to-peer cognitive reappraisal platform for depression: randomized controlled trial.
Journal of Medical Internet Research 17 (3), e72.
Mynatt, E.D., Rowan, J., Craighill, S., Jacobs, A., 2001. Digital family portraits: supporting
peace of mind for extended family members. In: Proceedings of the SIGCHI Conference on
Human Factors in Computing Systems. ACM, Seattle, WA, pp. 333–340.
Myslín, M., Zhu, S.-H., Chapman, W., Conway, M., 2013. Using twitter to examine smok-
ing behavior and perceptions of emerging tobacco products. Journal of Medical Internet
Research 15 (8), e174.
Nansen, B., Ryn, L.v., Vetere, F., Robertson, T., Brereton, M., Dourish, P., 2014. An inter-
net of social things. In: Proceedings of the 26th Australian Computer-Human Interaction
Conference on Designing Futures: The Future of Design. ACM, Sydney, NSW, pp. 87–96.
Nebeling, M., Speicher, M., Grossniklaus, M., Norrie, M.C., 2012. Crowdsourced web site
evaluation with crowdstudy. In: Proceedings of the 12th International Conference on Web
Engineering. Springer-Verlag, Berlin, pp. 494–497.
Nebeling, M., Speicher, M., Norrie, M.C., 2013. CrowdStudy: general toolkit for crowd-
sourced evaluation of web interfaces. In: Proceedings of the 5th ACM SIGCHI Symposium
on Engineering Interactive Computing Systems. ACM, London, pp. 255–264.
Nguyen, E., Modak, T., Dias, E., Yu, Y., Huang, L., 2014. Fitnamo: using bodydata to encour-
age exercise through Google glass. In: CHI '14 Extended Abstracts on Human Factors in
Computing Systems. ACM, Toronto, Ontario, Canada, pp. 239–244.
Nichols, J., Mahmud, J., Drews, C., 2012. Summarizing sporting events using twitter. In:
Proceedings of the 2012 ACM International Conference on Intelligent User Interfaces.
ACM, Lisbon, pp. 189–198.
Nielsen, J., 2005. Putting A/B Testing in Its Place. Retrieved July 18, 2016, from https://www.
nngroup.com/articles/putting-ab-testing-in-its-place/.
Nielsen, J., 2012. A/B Testing, Usability Engineering, Radical Innovation: What Pays Best?
Retrieved July 18, 2016, from https://www.nngroup.com/articles/ab-testing-usability-
engineering/.
Nielsen, J., 2014. Define Stronger A/B Test Variations Through UX Research. Retrieved July
18, 2016, from https://www.nngroup.com/articles/ab-testing-and-ux-research/.
Paolacci, G., Chandler, J., Ipeirotis, P.G., 2010. Running experiments on Amazon Mechanical
Turk. Judgment and Decision making 5 (5), 411–419.
Paparrizos, J., White, R.W., Horvitz, E., 2016. Screening for pancreatic adenocarcinoma using
signals from web search logs: feasibility study and results. Journal of Oncology Practice
12 (8), 737–744.