INF380T/INF350E Personal Informatics (Spring 2018)
Instructor: Edison Thomaz (ethomaz@utexas.edu, or contact through Canvas)
Time: Thursday, 9AM to 12PM
Location: UTA 1.504
Office Hours: Mondays 1-2PM (EER 7.818) or by appointment
Description
This will be a research-focused, seminar-style class focused on Personal Informatics (PI), a new and exciting area of study centered on streams of data that emerge from individuals. It draws upon theories, methods and techniques from Human-Computer Interaction, Ubicomp, and Data Analysis. In this class, we will go over many PI topics, including:
Sources of PI data
Active and passive methods for data collection
Concepts, models, and theories around PI
Prototyping and evaluation of apps, UIs and visualizations
Sharing and privacy issues for personal data
Self-experimentation and self-reflection
Behavior change with personal data
Practical challenges of personal informatics
Requirements
Academic: The ultimate goal of the class is to empower students to build new applications, models, visualizations and interfaces around and for personal informatics. Since we will be collecting, processing and analyzing data, we will be writing computer programs; for that we will be using the Python programming language. I will not be assuming that you are an expert programmer or that you are familiar specifically with Python, but I will assume that you are comfortable programming.
Writing and Speaking: This course involves significant speaking and writing skills. Assignments must be written in English and typeset. While primary assessment will focus on course material, correct spelling and grammar (along with coherence and logic) are expected and will be assessed in grading. Also, everyone is expected to talk in every class. Class discussion each week is intended to reinforce understanding of material. UT offers individual writing consultations to Graduate Students. Take advantage of these services, particularly before handing in project assignments (this of course requires starting early to draft papers early enough to get feedback from consultations and revise drafts accordingly). Undergraduate students can make similar use of UT's Writing Center. The UT CELTA Center (Certificate in English Language Teaching to Speakers of Other Languages) offers free ESL classes at multiple levels.: The ultimate goal of the class is to empower students to build new applications, models, visualizations and interfaces around and for personal informatics. Since we will be collecting, processing and analyzing data, we will be writing computer programs; for that we will be using the Python programming language. I will not be assuming that you are an expert programmer or that you are familiar specifically with Python, but I will assume that you are comfortable programming.
Readings: Critique + Discussion Questions
All students in the class will be expected to read the required readings assigned for the week (for most weeks, two readings will be assigned). Additionally, for each assigned paper, each student will be expected to submit a two-paragraph critique (i.e., what you liked and disliked about the paper), and two discussion points that we will bring up and talk about in class. These points could be elements of the paper that you did not understand or specific questions that emerged while you were reading the paper (e.g., about the methodology, instrumentation, user study, data analysis, motivation).
To write your critique and come up with the two discussion points, here are some examples of questions you could ask yourself while reading and examining papers:
Is the work well motivated?
What kind of real-world impact can it have?
Are the methods and approaches sound?
How does the research compare to prior work? Is it evolutionary?
Are the experiments well formulated and conducted?
What main problems or research questions are raised?
Are the claims well-supported?
What different assumptions are being made?
Does the work generalize to other situations, individuals?
What research questions are left open?
You should post your critique paragraphs and discussion points to the Canvas discussion forum thread that is associated with the corresponding topic. The deadline for these will always be Wednesday at 6PM. You will be graded on the quality of your critique and discussion points.
All reading materials will be provided by the instructor or TA either in paper copy or electronically (i.e., link to PDF). There is no textbook for the course.
Paper Presentations
Twice during the semester, students will be required to present a paper to the class (20 minutes). As the paper “expert”, the student presenter will be required to read the paper in detail and prepare a set of slides to show in class. The presentation will kick off a 10 minute discussion. We will have an in-class activity where students will have the opportunity to pick their papers and topics.
Assignments
Students will be asked to complete three assignments during the semester. The assignments will be due 2 weeks after they have been made available:
Assignment #1: Research Methods
Assignment #2: Motion Tracking
Assignment #3: Food Logging
Assignment #4: Machine Learning
Project
There will be one group project during the semester. Projects should be original research or at a minimum, have elements that are original. It is ok to build on previous ideas and studies, but it is not appropriate to simply replicate previous work.
Students will be responsible for forming teams composed of 2-4 students. During class, you will have an opportunity to describe one or more ideas that you would like to work on and see if you can form a team around it. If you cannot convince others to work on your idea, it will be your responsibility to find and join another team.
Project Proposal
The first project deliverable will be the project proposal, which should be no longer than 2 pages. All the sections outlined below should be included. The project plan you include in your proposal is just an initial plan, not a binding contract. It is your best guess initially. It is ok to revise and update it as your work progress and changes occur.
Title
Group Members and their Roles
Description: What the group plans to do for the project and your approach
Motivation: Why the work matters
Description of previous research in the area (with references)
Resources you may need (in terms of hardware, software, etc)
How do you plan to get these resources?
Timeline
Grading Criteria: How should we grade your project?
References
Project Final Presentation
The final class day will be dedicated to project presentations. Bring a demo of your project to class to present to the instructor and other students. Plan on a 10 minute presentation. If you cannot physically bring your project to class, bring enough material so that you can show us what you did. You may optionally bring slides or a poster to use in your demo. Don't just show us your required video; you must be able to talk and explain your project. You can use a short video clip as part of your presentation, but do not just play your full video. Turn in any presentation materials you produce (e.g., slides, video).
Project Final Report
The report should be 4-pages long following the ACM double-column format. You may submit appendices which include design documents or other diagrams such as circuit layouts. These will not count towards your four pages. You may submit a paper longer than 4 pages if you need to. However you will not receive more credit for doing so. And if you submit a long write-up that is redundant it may actually hurt your grade. Refer to the papers we have read in class for pointers on how to present your work in writing.
Links to the Latex and Word templates for this format can be found here:
The sections we would like to see in your writeup are:
Title
Group Members
Introduction: What you're doing, why it's important
Prior work: What’s already been done and why your work is different
Description of the work, implementation details, data analysis, etc.
Contributions: What are the original elements of the work
Discussion: What have you learned
Future Work: What remains to be done for your project and future possibilities
Conclusions: Take home points
Division of Work
Project Grading
For the project, specific deliverables are asked and should be completed to the best of your team's ability. Teams that complete all the project deliverables satisfactorily should expect a grade of 90%. The remaining 10% of the points are reserved for work that stands out in some way, in areas such as implementation, academic contribution, human-centered design, user study, performance, novelty of approach, etc.
Class Participation
During the semester, there will be many opportunities for students to participate in class activities. A class participation grade will be derived from the level of engagement observed in these types of in-class activities.
Late Deliverables
Late deliverables will be accepted for two weeks after their due date, but at a penalty of 10 points per week -- so failure to turn in an assignment at the due date results in an immediate 10 point penalty. After two weeks, assignments will receive a 0. In the interest of fairness, there will not be any exceptions to this policy.
Laptops and Mobile Devices
Productive use of a laptop or other mobile device during class to take notes, look up information or resources, etc. is allowed. However, if you are engrossed in your device and not clearly giving attention to the speaker and participating, you will be asked to turn off your device.
Exams
There will not be a midterm or final exam for this course.
Grading
Here is a breakdown of how the final grade for each student will be computed:
Class Participation: 10%
Reading Critiques and Discussion Board Activity: 20%
Paper Presentation and Moderation: 10%
Assignment #1: 5%
Assignment #2: 5%
Assignment #3: 5%
Assignment #4: 5%
Project Proposal: 10%
Project Presentation: 10%
Project Final Report: 20%
Standard UT Austin Course Information and Policies
Academic Honor Code: You are encouraged to discuss assignments with classmates, but anything submitted must reflect your own, original work. If in doubt, ask the instructor. Plagiarism and similar conduct represents a serious violation of UT's Honor Code and standards of conduct.
Students who violate University rules on academic dishonesty are subject to severe disciplinary penalties, such as automatically failing the course and potentially being dismissed from the University. **PLEASE** do not take the risk. We are REQUIRED to automatically report any suspected case to central administration for investigation and disciplinary hearings. Honor code violations ultimately harm yourself as well as other students, and the integrity of the University.
Academic honesty is strictly enforced. For more information, see the Student Judicial Services site.
Notice about students with disabilities: The University of Texas at Austin provides appropriate accommodations for qualified students with disabilities. To determine if you qualify, please contact the Dean of Students at 512-471-6529 or UT Services for Students with Disabilities. If they certify your needs, we will work with you to make appropriate arrangements.
Emergency Preparedness: Any students requiring assistance in evacuation must inform the instructor in writing of their needs during the first week of classes.
Coping with stress and personal hardships: The Counseling and Mental Health Center offers a variety of services for students, including both individual counselling and groups and classes, to provide support and assistance for anyone coping with difficult issues in their personal lives. As mentioned above, life brings unexpected surprises to all of us. If you are facing any personal difficulties in coping with challenges facing you, definitely consider the various services offered and do not be shy to take advantage of them if they might help. These services exist to be used.
Notice about missed work due to religious holy days: A student who misses an examination, work assignment, or other project due to the observance of a religious holy day will be given an opportunity to complete the work missed within a reasonable time after the absence, provided that he or she has properly notified the instructor. It is the policy of the University of Texas at Austin that the student must notify the instructor at least fourteen days prior to the classes scheduled on dates he or she will be absent to observe a religious holy day. For religious holy days that fall within the first two weeks of the semester, the notice should be given on the first day of the semester. The student will not be penalized for these excused absences, but the instructor may appropriately respond if the student fails to complete satisfactorily the missed assignment or examination within a reasonable time after the excused absence.
Electronic mail Notification Policy: In this course e-mail (and Canvas) will be used as a means of communication with students. You will be responsible for checking your e-mail regularly for class work and announcements. If you are an employee of the University, your e-mail address in Canvas is your employee address.
The University has an official e-mail student notification policy. It is the student's responsibility to keep the University informed as to changes in his or her e-mail address. Students are expected to check e-mail on a frequent and regular basis in order to stay current with University-related communications, recognizing that certain communications may be time-critical.