Participant Information Sheet
Project Title: Collecting Anonymous Low-Level Photo Stream Features for Research
A/Prof. Min-Yen Kan
Department of Computer Science, School of Computing, National University of Singapore (NUS), AS6-05-12, Computing 1, 13 Computing Drive, Singapore 117590. +65 6516-1885; email@example.com
Purpose of this study
You are invited to participate in a research study. This information sheet provides you with information about the research. The Principal Investigator (the person in charge of this research) or his representative will be able to answer all of your questions via email. Read the information below and ask questions about anything you don't understand before deciding whether or not to take part.
The study collects low-level photo features obtained from the image files produced by cameras, i.e., color histogram, capture time, aperture diameter, exposure time, focal length, f-number, and ISO speed rating; and how these features group together as chapters. This collection forms the basic groundwork for the building and training of computational models to automatically organize user photos. The collected data is anonymized and cannot be used in any way or form to reconstitute the images / photos at any quality or resolution.
Who can participate in the study? What is the expected duration of my participation? What is the duration of this study?
Anyone who is at least 21 years of age, and who can download and install the application, Chaptrs from the Mac App Store can participate in this study. The study will end in December 2012. You can opt-out of the study at any time by toggling the option in the application's settings menu.
What is the approximate number of participants involved?
We are recruiting up to 1000 participants for this study.
What will be done if I take part in this study?
If you participate in this study, we will periodically compute 10-11 numbers from your photos and send them to our secure server at the National University of Singapore. These 10-11 numbers are computed from low-level photo features obtained from the image files produced by cameras, i.e., color histogram, capture time, aperture diameter, exposure time, focal length, f-number, and ISO speed rating. For example, the feature values for the following two photos are [3.0, 1.18555, 0.8037518, 0.1181742, 0.0154173, 0.0003038, 0.0618971, 0.0, 0.0, 0.0002278, 13] for the first photo below and [3.0, 0.492405, 0.637067, 0.1088, 0.012533, 0.0351, 0.2065, 0.0, 0.0, 0.0] for the second photo. We also note whether the two sets of numbers are from the same chapter.
How will my privacy and the confidentiality of my research records be protected?
Your photos and any identifiable information about your photos will not be sent to our servers. For a given photo, only the computed numbers as described previously will be sent. These numbers cannot be used in any way or form to reconstitute the original images in any quality or resolution.
Will there be reimbursement for participation?
There are no reimbursements for participation.
What are the possible benefits to me and to others?
By participating in this study, you will receive future updates to the application that will make it organize your photos better. The knowledge gained may be used for evidence in a publication in the future or together with other collected data, be released as a public anonymous datasets to spur further research in the area of personal photo management.
Can I refuse to participate in this research?
Yes, you can. Your decision to participate in this study is voluntary and completely up to you. You can also withdraw from the study at any time without giving any reasons, by toggling the option in application's menu (Chapters > Allow Automatic Updates).
Who should I call if I have any questions or problems?
Please contact the Principal Investigator, A/Prof. Min-Yen Kan or Attn: Jesse Gozali at +65 6516-1885 and email firstname.lastname@example.org or email@example.com for all research-related matters and in the event or research-related injuries.
For an independent opinion regarding the research and the rights of research participants, you may contact a staff member of the National University of Singapore Institutional Review Board (Attn: Mr Chan Tuck Wai, at telephone +65 6516 1234 or email at firstname.lastname@example.org ).