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custom apps? Are there additional ethical dilemmas associated with the
combination of these various data types?
3. Many crowdsourcing user studies might be seen as generalizations of remote
usability studies, conducted through a software platform built to support
participant recruitment. However, incentives might differ: in traditional lab
studies, participants might be offered some money or a gift for participating, but
crowdsourcing workers are generally paid by the task. Does this approach raise
any concerns regarding the ethical treatment of research participants?
RESEARCH DESIGN EXERCISE
The combination of human computation and ubiquitous computing raises some
interesting and challenging opportunities for HCI research. Imagine a novel
application of the intersection of these techniques designed to help with a
distinctly ancient and noncomputerized human activity: gardening. Specifically,
a gardening support network might use online fora (or is it flora?) for members
to exchange information and tips about cultivation of various plants in different
climes. Participants might use ubiquitous computing tools to capture photos of
plants, to measure activity in watering, and to track time spent working on the
garden. Finally, human computation elements might be used to verify the identity
of unfamiliar plants or blights or other infections that might harm plants: images
collected from an individual's garden might be sent to a community of workers
who might theorize about the identity of the plant in question, with a majority
vote summarizing the consensus of the community. Speculate as to how you might
go about constructing and studying this complex ecosystem. What design issues
and challenges do you see? How might issues such as differing levels of expertise
and experience be accounted for in the design? How might users distinguish
between good advice and bad? How can users be enticed to participate in the
interpretation of provided images? How might you evaluate the success of the
various components of this system?
REFERENCES
Abdul-Rahman, A., Proctor, K.J., Duffy, B., Chen, M., 2014. Repeated measures design in
crowdsourcing-based experiments for visualization. In: Proceedings of the Fifth Workshop
on Beyond Time and Errors: Novel Evaluation Methods for Visualization. ACM, Paris, pp.
95–102.
Ahn, L.v., Dabbish, L., 2004. Labeling images with a computer game. In: Proceedings of
the SIGCHI Conference on Human Factors in Computing Systems. ACM, Vienna, pp.
319–326.
Ahn, L.v., Dabbish, L., 2008. Designing games with a purpose. Communications of the ACM
51 (8), 58–67.