“Much of the stress and strain of student life remains hidden.” -- StudentLife, ACM UbiComp 2014
This seminar is motivated by the StudentLife study that took place at Dartmouth during the Spring 2013. We found for the first time that passive sensing data from smartphones carried by students correlated with their mental health outcomes such as stress, depression, loneliness and flourishing (i.e., a sense of optimism) and their grades.
In this seminar, we’d like to build on the StudentLife study and propose new mobile health apps, methods, tools, interventions, and studies -- basically new ideas and thinking -- to better understand student life and health at Dartmouth.
Location: 008 Kemeny Hall
Time period: 10A TuTh 10:00-11:50 x-period: W 3:00-3:50
Office hours: Monday and Friday 4-5 pm
Seminar leader: Andrew Campbell
Goal of the seminar
In a nutshell: to learn about the emerging field of computational and mobile health. Each week we will listen to some of the leading lights in health at Dartmouth. Topics include:
You’ll get a chance to pitch your own mobile health app ideas to the class. The winning ideas will be implemented as group projects.
Weekly talks will cover clinical research, technology, informatics, policy, global health and primary care. They’ll provide a unique interdisciplinary viewpoint of health. Here is the current list of speakers -- in order of presentation.
Andrew Campbell (Computer Science) -- StudentLife project
Lisa Marsch (Director, Center for Technology and Behavioral Health) -- technology and behavior health
Dror Ben-Zeev (Dartmouth Psychiatric Research Center) -- mental health
David Kotz (Computer Science) -- wearables for health
Ethan Berke (Director of Primary Care, DHMC) -- transforming primary health care
Kofi Odame (Thayer) -- implantable and wearable biomedical devices
Lisa Adams (Dickey Center, Geisel School of Medicine) -- global health
Lorie Loeb (Director of DALI Lab, Computer Science) -- apps for health and social change
Amar Das (Collaboratory for Healthcare and Biomedical Informatics, Geisel School of Medicine) -- biomedical informatics
Sarah Lord (Director, Dissemination & Implementation Core, Center for Technology and Behavioral Health) -- substance abuse disorders
Definitely CS 10; but since we’ll do phone programming iOS or Android programming would help considerably. Machine learning would be a plus. I want to be as open as I can but within reason. I would dearly like to see undergraduates in this class as well as graduate students. So many times our upper classes don’t see enough undergrads.
Short weekly write ups on the talks, class presentations of papers and class participation. But the majority of the grade is for group projects. Basically you will be listening to some inspirational talks, writing up opinion pieces each week (2 pagers) and mostly doing programming in group projects. Turning ideas into health technology.
5% class participation
10% class presentation
25% opinion pieces
Note, 50% discount on any late submissions.
Write an opinion piece on each talk. What are the key ideas? What are your thoughts and opinions on the material presented by the speaker. You should read more broadly that just what the speaker has presented and cite related papers that you have dug up. Most speakers will provide a paper or two that relate to their talks.
You will need to have a good grasp on the material in terms of the pros and cons to write a concise opinion piece where you discuss the ins and outs of the topic, where the field is going, and your ideas about other areas that these ideas can be applied. This is a really hard task to do well.
In two pages I want to get a sense that you absorbed the speaker’s ideas, read more deeply and broadly, and had some novel and interesting opinions on the topic. Avoid simply regurgitating the speaker or related papers. Rather, synthesize the material and write a piece where you can “hear” your voice and opinions come through.
Note, due to the large size of the class I will only randomly grade a small subset of all opinion pieces presented so produce consistently good material. I plan to grade a minimum of 2 or 3 pieces per student.
Weekly student presentations
Each week we will have student presentations of selected papers. Two students will be assigned to present a paper. They will make a technical presentation on the material discussed in the paper. Similar to the opinion piece but making sure to present the main ideas in the paper (what is new idea? how does it fit into the related work?); the pros and cons (what you liked and didn’t like); and your ideas on how the paper or the ideas presented in the paper can be more broadly applied (perhaps in a new area of application not envisioned by the authors). Presenters should lead a discussion on the ideas and engage the audience -- for example, ask the audience a rhetorical question to get things moving.
Each presentation is driven by two students. Tips for presenters (send me your slides -- as PDF -- after your presentation)
- What is the key idea and why is it novel?
- What is the technical approach?
- Present one or two key results? Why are these results important?
- What are your opinions of the work; pros and cons, have strong opinions.
- What extensions would you do based on the work to take it to the next level?
- Through your 30 min presentation engage the audience with rhetorical questions?
- Have fun and make it fun.
- Read Keshav’s great paper on how to read a paper.
You will be graded on your presentation and the discussion. Have questions for the audience to bootstrap the discussion.
A key part of this seminar will be mobile health group projects. Each student will pitch an idea in week 3. So start thinking now. The goal of the project is to better understand student life and health at Dartmouth. So your projects will have to demo the technology at Dartmouth on some scale. The best ideas will be turned into group projects. Each group will comprise of 2 or 3 students. Applications can range from mobile phones, computers, devices and pure data analysis (see StudentLife dataset). Projects will be demoed at the end of term.
The grade will breakdown as follows:
Note, an up-to-date project page will be more of a running blog on your project progress and graded for completeness. I should be able to go there and read where you are.
Note, most of the projects are apps or data analysis. So in the grade below demo or show results -- apply when considering an app or analysis of a dataset.
The 60% grade breakdown is as follows:
Please email me your first and second choice of project. Let me know if you have any constraints (want to work with a particular partner). I’ll do my best to form groups. Groups of 4 would be optimal.
Tues: “Introduction to Mobile Health”, Andrew Campbell
Abstract: Much of the stress and strain of student life remains hidden. The StudentLife continuous sensing app assesses the day-to-day and week-by-week impact of workload on stress, sleep, activity, mood, sociability, mental well-being and academic performance of a single class of 48 students across a 10 week term at Dartmouth College using Android phones. Results from the StudentLife study show a number of significant correlations between the automatic objective sensor data from smartphones and mental health and educational outcomes of the student body. We also identify a Dartmouth term lifecycle in the data that shows students start the term with high positive affect and conversation levels, low stress, and healthy sleep and daily activity patterns. As the term progresses and the workload increases, stress appreciably rises while positive affect, sleep, conversation and activity drops off. In this talk, Professor Campbell will discuss the design of the StudentLife app, key results and the future vision of how to turn a smartphone into a mental health tracker using passive monitoring.
Thurs: “Transforming Behavioral HealthCare via Science-based Mobile Technology”, speaker: Lisa A. Marsch, PhD., Dartmouth College.
Abstract: The Center for Technology and Behavioral Health is a national P30 “Center of Excellence” supported by the National Institutes of Health (NIH), composed of an interdisciplinary research and development group focused on the systematic application of state-of-the-science technologies to the delivery of behavioral health interventions. These tools harness technologies (e.g., Internet, mobile devices) to deliver engaging and effective self-monitoring and self-management interventions to promote behavioral health (including preventative health and behavior change) and are designed to collectively lead to transformations in the delivery of science-based health care. With funding largely from NIH, Dr. Marsch has led a line of research focused on the development and evaluation of technology-based interventions targeting substance abuse, mental health and other areas of behavioral health. These technology-based therapeutic tools reflect an integration of science-based behavioral interventions with evidence-based informational technologies. This work has been conducted in a variety of settings, including physician offices, substance abuse and mental health specialty treatment programs, educational settings and via the Internet. This research has provided novel empirical information regarding the role that technology may play in improving the prevention and treatment of behavioral health issues in a manner that increases access to care, is cost-effective, ensures fidelity, and enables the rapid diffusion and widespread adoption of science-based interventions. In this presentation, Dr. Marsch will provide an overview of CTBH's work developing, evaluating, and implementing mobile health tools for behavioral health. She will review findings from scientific studies to date evaluating various models for deploying mobile health tools within and outside of healthcare systems. She will also discuss future opportunities in the field of mobile health.
Bio: Lisa Marsch is the Director of the Center for Technology and Behavioral Health (www.c4tbh.org), the Director of the Dartmouth Psychiatric Research Center, and a faculty member within the Department of Psychiatry at the Geisel School of Medicine at Dartmouth College.
1) Kumar, Santosh, et al. "Mobile health: Revolutionizing healthcare through trans-disciplinary research." Computer 46.1 (2013): 28-35.
2) Marsch, Lisa, Sarah Lord, and Jesse Dallery, eds. Behavioral Health Care and Technology: Using Science-Based Innovations to Transform Practice. Oxford University Press, 2014. (Read this chapter on Envisioning the Future: Transformation of Health Care Systems via technology).
3) Wang, Rui, et al. "Studentlife: assessing mental health, academic performance and behavioral trends of college students using smartphones." Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 2014.
Tues: student paper presentations (30 mins including Q&A)
Presenters: Mohammad.Z.Akmal.GR@Dartmouth.edu; Justice.Amoh.Jr.TH@Dartmouth.edu;
1) Mark Matthews, Saeed Abdullah, Geri Gay, and Tanzeem Choudhury. Tracking Mental Well-Being: Balancing Rich Sensing and Patient Needs. Appears in Computer, 47.4(2014).
Presenters: Konnor.C.Beard.16@Dartmouth.edu; Junjie.Guan.GR@Dartmouth.edu;
2 Hong Lu, Mashfiqui Rabbi, Gokul Chittaranjan, Denise Frauendorfer, Marianne Schmidt, Andrew Campbell, Daneil Gatica-Perez, and Tanzeem Choudhury. StressSense: Detecting Stress in Unconstrained Acoustic Environments using Smartphones. Appears in the Proceedings of Ubicomp 2012 , September 2012.
3) Mashfiqui Rabbi, Shahid Ali, Tanzeem Choudhury, and Ethan Berke. Passive and In-situ Assessment of Mental and Physical Well-being using Mobile Sensors. To appear in the Proceedings of Ubicomp 2011, September 2011. Beijing, China.
10.45 AM Thurs: “mHealth for Serious Mental Illness, speaker: Dror Ben-Zeev (Dartmouth Psychiatric Research Center)
Abstract and Bio: Dr. Dror Ben-Zeev is a faculty member in the Department of Psychiatry at The Geisel School of Medicine at Dartmouth and licensed Clinical Psychologist. He leads a program of research focusing on the use of Mobile Health (mHealth) approaches in the study, assessment, and treatment of individuals with serious mental illness, integration of effective health technologies in systems of mental health care, and development of psychosocial interventions for psychosis. Dr. Ben-Zeev’s group is actively developing and testing several smartphone applications for self-management of schizophrenia, multi-modal sensing systems for detection of predictors of psychotic relapse, mobile platforms for assessment of violence and suicidality in patients with psychiatric illnesses and co-occurring substance use disorders, and training of “mobile interventionists” that leverage mobile technologies for real-time/real-place service provision in outpatient and inpatient clinical settings. His research has been supported by multiple grants from the National Institutes of Health (NIH), Center for Medicare and Medicaid Innovation (CMMI), Patient Centered Outcomes Research Institute (PCORI), National Science Foundation (NSF), and Dartmouth SYNERGY Clinical and Translational Science Institute.
1) Ben-Zeev, Dror, et al. "Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia." Schizophrenia bulletin (2014): sbu033.
2) Ben-Zeev, Dror, Susan M. Kaiser, and Izabela Krzos. "Remote “Hovering” With Individuals With Psychotic Disorders and Substance Use: Feasibility, Engagement, and Therapeutic Alliance With a Text-Messaging Mobile Interventionist." Journal of dual diagnosis 10.4 (2014): 197-203.
10.30 AM Tues: “Security and privacy issues in mobile medical applications”, David Kotz, Computer Science
Abstract. Mobile medical applications offer tremendous opportunities to improve quality and access to care, reduce cost, and improve individual wellness and public health. These new technologies, whether in the form of software for smartphones as specialized devices to be worn, carried, or applied as needed, may also pose risks if they are not designed or configured with security and privacy in mind. For example, a patient's insulin pump may accept dosage instructions from unauthorized smartphones running a spoofed application; another patient's fertility-tracking app may be probing the Bluetooth network for its associated device, exposing her use of this app to nearby strangers. In this talk I present an overview of the security and privacy challenges posed by mobile medical applications, including important open issues that require further research and a brief review of the related legal policies.
1) Cory Cornelius, Ronald Peterson, Joseph Skinner, Ryan Halter, and David Kotz. A wearable system that knows who wears it. In Proceedings of the International Conference on Mobile Systems, Applications, and Services (MobiSys), pages 55-67, June, 2014.
2) Andrés Molina-Markham, Ronald Peterson, Joseph Skinner, Tianlong Yun, Bhargav Golla, Kevin Freeman, Travis Peters, Jacob Sorber, Ryan Halter, and David Kotz. Amulet: enabling computational jewelry for mHealth applications. In Proceedings of the Workshop on Mobile Medical Applications - Design and Development (WMMADD), pages 16-21, November, 2014.
Due: due Wednesday 11.59 pm; submit to canvas.
10 AM Thurs: 2 minute elevator pitch for group projects. Each student pitches their idea. The order of the pitch will be:
10 AM Tues: student paper presentations (25 mins including Q&A)
1) Presenters: Wei.Huang.GR@Dartmouth.edu; Dharmanshu.Kamra.GR@Dartmouth.edu;
Larson, Eric C., et al. "Spirosmart: Using a microphone to measure lung function on a mobile phone." Proceedings of the 2012 ACM Conference on Ubiquitous Computing. ACM, 2012.
2) Presenters: Mridul.Khan.GR@Dartmouth.edu; Hongyi.Jia.GR@Dartmouth.edu
Hsieh, Cheng-Kang, et al. "Lifestreams: a modular sense-making toolset for identifying important patterns from everyday life." Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems. ACM, 2013.
3) Presenters: Mengjia.Kong.GR@Dartmouth.edu; Jordan.S.Kunzika.16@Dartmouth.edu;de Greef, Lilian, et al. "Bilicam: using mobile phones to monitor newborn jaundice." Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 2014.
4) Presenters: Mui.Ling.Lam.GR@Dartmouth.edu; Jai.Woo.Lee.GR@Dartmouth.edu;
Hoyle, Roberto, et al. "Privacy behaviors of lifeloggers using wearable cameras." Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 2014.
10.30 AM Thurs: “Ethan Berke (Director of Primary Care, DHMC), “Perspectives on Determinants of Health, the Clinical Model, and Opportunities for Mobile Technology”.
Abstract and Bio: Ethan M. Berke, MD, MPH is Director of Clinical Program Development for Dartmouth Hitchcock Health in New Hampshire. He is an Associate Professor in Community and Family Medicine at The Geisel School of Medicine at Dartmouth, a researcher at The Dartmouth Institute for Health Policy and Clinical Practice, an Investigator in the Cancer Control Research Program the Dartmouth-Hitchcock Norris Cotton Cancer Center, and an Adjunct Associate Professor of Geography at Dartmouth College. He is also the Co-Principal Investigator of the Dartmouth Health Promotion Research Center, one of 25 Centers for Disease Control Prevention Centers in the nation.
He completed a BS degree in statistics at the University of Vermont, an MD degree at Albany Medical College, residency training in Family Medicine at the University of Washington, and a Masters in Public Health degree in Epidemiology at the University of Washington. His research specializes in the study of the built environment’s effect on health conditions, and has reported on the effect of walkable neighborhoods on physical activity, obesity, and mental health. He has a particular expertise in mobile health (mHealth) and remote medical sensing, and how modeling habitat and behavior using the sensors in smartphones affects individual health and the health of a population.
Dr. Berke has worked to build innovate models to deliver health to a population, including the transformation of primary care delivery platforms and creation of disruptive methods of providing health services that leverage technology and non-traditional partners. Central to this work is the development and training of novel roles within the health care workforce to improve the quality of care and transform our system from a reactionary high-cost care delivery system to a proactive, high-value system focused on health.
1) Berke, Ethan M., et al. "Objective measurement of sociability and activity: mobile sensing in the community." The Annals of Family Medicine 9.4 (2011): 344-350.
2) Tom Main and Adrian Slywotzky, “The Patient -- to Consumer Revolution.”
10.30 AM Tues: Kofi Odame (Thayer), “Wearable Biomedical Devices: Challenges and Solutions”
Abstract: As the U.S. population ages and chronic diseases account for an increasing percentage of health care costs, there is a growing realization that the current hospital-centered and reactive care model must be replaced by a more proactive and patient-centered one. Achieving this will require biomedical devices that continuously and unobtrusively monitor individuals' health status, allowing for timely and customized interventions. In addition, advanced assistive technologies will be needed in order to increase the autonomy and quality of life of individuals with impaired functions. The success of these emerging applications will rely on sensor interface circuits that meet high performance specifications, but maintain a stringent power budget, even as they are kept in continuous operation. This talk will present some of the system-level solutions that are currently being used to address the challenges faced by wearable devices.
Bio: Kofi Odame is an assistant professor of engineering at Thayer School of Engineering at Dartmouth. Kofi's primary interest is in analog integrated circuits for nonlinear signal processing. This work has applications in low-power electronics for implantable and wearable biomedical devices, as well as in autonomous sensor systems. Kofi received the Cornell International Scholars and Students Award to study at Cornell University, graduating magna cum laude with a B.Sc. in electrical engineering and a minor in computer science in 2002. He studied as a Cornell African Development Fellow to receive the M.Sc. in electrical engineering, under Bradley Minch in 2004. He then worked in Paul Hasler's lab at the Georgia Institute of Technology, earning the Ph.D. in electrical engineering in 2008.
1) Mitra, Srinjoy, Jiawei Xu, Akinori Matsumoto, Kofi AA Makinwa, Chris Van Hoof, and Refet Firat Yazicioglu. "A 700µW 8-channel EEG/contact-impedance acquisition system for dry-electrodes." In VLSI Circuits (VLSIC), 2012 Symposium on, pp. 68-69. IEEE, 2012.
2) Mitcheson, Paul D., et al. "Energy harvesting from human and machine motion for wireless electronic devices." Proceedings of the IEEE 96.9 (2008): 1457-1486.
10 AM Thurs: student paper presentations (25 mins including Q&A)
1) Presenters: Molly.J.Leen.15@Dartmouth.edu; Andrew.J.Meier.16@Dartmouth.edu;
Pina, Laura, et al. "In situ cues for ADHD parenting strategies using mobile technology." Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2014.
2) Presenters: Mengling.Li.GR@Dartmouth.edu;Mubing.Li.GR@Dartmouth.edu;
Khan, Danish U., Katie A. Siek, Jane Meyers, Leah M. Haverhals, Steven Cali, and Stephen E. Ross. "Designing a personal health application for older adults to manage medications." In Proceedings of the 1st ACM International Health Informatics Symposium, pp. 849-858. ACM, 2010.
3) Presenters: John.Ling.17@Dartmouth.edu;Zhen.Ma.GR@Dartmouth.edu;
Mark, Gloria, Yiran Wang, and Melissa Niiya. "Stress and multitasking in everyday college life: an empirical study of online activity." In Proceedings of the 32nd annual ACM conference on Human factors in computing systems, pp. 41-50. ACM, 2014.
4) Presenters: Xinqi.Li.GR@Dartmouth.edu;Lixing.Lian.GR@Dartmouth.edu;
Jacobs, Maia L., James Clawson, and Elizabeth D. Mynatt. "My journey compass: a preliminary investigation of a mobile tool for cancer patients."Proceedings of the 32nd annual ACM conference on Human factors in computing systems. ACM, 2014.
10.30 AM Tues: . Lisa V. Adams (Associate Dean for Global Health and an Associate Professor of Medicine, Geisel School of Medicine), “Global Health: the importance of partnerships”
Bio and Abstract: Dr. Lisa V. Adams is the Associate Dean for Global Health and an Associate Professor of Medicine in the Section of Infectious Disease and International Health at the Geisel School of Medicine at Dartmouth. She also directs Dartmouth College’s Global Health Initiative at the John Sloan Dickey Center for International Understanding. She is also the Director of Geisel’s newly established Center for Health Equity which houses global and domestic health programs devoted to care of underserved populations. In all her roles, she develops and oversees cross-cutting global health programs involving faculty and students.
She has been working in domestic and international TB control for 20 years with expertise in the areas of program management, disease surveillance, monitoring and evaluation, and clinical care. She is the former Director of Surveillance for the New York City Department of Health’s TB Control Program. Prior to that position, she worked for Doctors of the World, USA as the Medical Director for a tuberculosis control program covering five regions in Kosovo. As an international TB consultant and senior technical advisor, she has worked in more than a dozen countries to provide technical assistance to TB programs, to perform epidemiological studies and has served as lead technical writer on several successful TB program proposals.
At Dartmouth she teaches courses on global health to medical and college students. She has been a co-investigator on several clinical and operations research trials on TB and HIV through the DarDar Programs, a collaboration between Dartmouth and Muhimbili University in Dar es Salaam, Tanzania. She is the Program Director for the DARDAR Pediatric Program, a collaborative HIV care and treatment program in Dar es Salaam. Most recently she spent 6 months in Rwanda (July-Dec 2012) as Geisel’s lead to launch the major medical education initiative, the Rwandan Human Resources for Health Program. She is currently engaged with local partners in South Africa and Swaziland on projects to improve delivery of TB care services to two vulnerable populations, children and mine workers.
Dr. Adams received her undergraduate degree from Wellesley College in Philosophy and her medical degree from the Geisel School of Medicine at Dartmouth. She completed her residency training in Internal Medicine at Harvard’s Cambridge Hospital, now the Cambridge Health Alliance.
1) Crane, Johanna. "Scrambling for Africa? Universities and global health." The Lancet 377.9775 (2011): 1388-1390.
10 AM Thurs: student paper presentations (25 mins including Q&A)
Presenters: Danielle.M.Midulla.16@Dartmouth.edu; Fanglin.Chen.GR@dartmouth.edu
1) Dell, Nicola, Ian Francis, Haynes Sheppard, Raiva Simbi, and Gaetano Borriello. "Field evaluation of a camera-based mobile health system in low-resource settings." In Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services, pp. 33-42. ACM, 2014.
Presenters: Xiaohong.Qiu.GR@Dartmouth.edu; Vibhu.Yadav.GR@dartmouth.edu
2) Dell, Nicola, Jessica Crawford, Nathan Breit, Timóteo Chaluco, Aida Coelho, Joseph McCord, and Gaetano Borriello. "Integrating ODK Scan into the community health worker supply chain in Mozambique." In Proceedings of the Sixth International Conference on Information and Communication Technologies and Development: Full Papers-Volume 1, pp. 228-237. ACM, 2013.
3) Quinn, John, Vanessa Frias-Martinez, and Lakshminarayan Subramanian. "Computational Sustainability and Artificial Intelligence in the Developing World." AI Magazine Special Issue on Computational Sustainability (2014).
10.00 AM Tues: Project show_and_tell_1
3.00-3.50 PM Wednesday X: Lorie Loeb (Director of DALI Lab, Computer Science) (rescheduled).
10.30 AM Tues Amar Das (Collaboratory for Healthcare and Biomedical Informatics, Geisel School of Medicine), “Integrating the Quantitative Self into the Digital Health Ecosystem: Biomedical Informatics Challenges”
3.00-3.50 PM Wednesday X: Lorie Loeb (Director of DALI Lab, Computer Science), “Communicating Information Effectively: Designing for Impact”
Abstract: Why is it so hard to change behavior? Psychologists and behavioral economists have discovered that our minds are ruled by irrational thought. We often don’t act in our own best interest. The rational mind wants a great beach body; the emotional mind wants that Oreo cookie. The rational mind wants to change something in a relationship; the emotional mind loves the comfort of the existing routine. Given these ambiguities, how can you design a mobile health application that has impact? First, we need to think about the user. Who is the app for? Why should the care? What do they want to know? What do you need them to know? How do we engage with the user, both intellectually and emotionally, in order to create the conditions in which behavior change can take place? Information is everywhere, in large quantity and questionable quality—monitors are ubiquitous (e.g. elevators, taxis, wearables), over 100 hours of video are uploaded to YouTube every minute, the warnings/information on a prescription medicine bottle are so hard to understand that more than 500,000 Americans misread them every year. People quickly shut down or ignore information when too much is given, it is hard to understand, or unpleasant to hear. My talk focuses on successful methods for visualizing data in meaningful ways in order to get people’s attention, communicate effectively, and change behavior. I will touch on best practices from human-centered design, psychology, storytelling, and behavioral economics and attempt to pull these together into some useful information as you begin designing your mobile health apps.
Bio: Lorie Loeb is a Research Professor in the computer science department at Dartmouth College, Director of the Digital Arts Program, the Executive Director of the Digital Arts Leadership and Innovation (DALI) Lab. She is also the President/co-Founder of TellEmotion, Inc, a social entrepreneurship start-up aimed and motivating people to change behavior and conserve resources. Before coming to Dartmouth, Lorie was Senior Research Scientist in the Computer Science Department at Stanford University. She holds two patents, is the recipient of the Fulbright and the Whiting Foundation Fellowships. Lorie is an artist as well as a technologist. Films she worked on won many awards, including two Emmy Awards and a Cine Golden Eagle Award. Films she animated have had screenings at the Museum of Modern Art, the Sundance Film Festival, the NY Film Festival, the London Film Festival and the Whitney Biennial.
At the DALI Lab, students design and develop technology tools that merge art, science, design and technology to help our partners communicate effectively and maximize impact.
10.00 AM Thurs: Papers (20 min presentations)
1) Presenters: Yue.Song.GR@Dartmouth.edu; Samuel.W.Yoder.15@Dartmouth.edu;
Swan, Melanie. "The quantified self: fundamental disruption in big data science and biological discovery." Big Data 1, no. 2 (2013): 85-99.
2) Presenters:Donglin.Wei.GR@Dartmouth.edu; Jun.Yang.GR@Dartmouth.edu;;
Gravenhorst, Franz, et al. "Mobile phones as medical devices in mental disorder treatment: an overview." Personal and Ubiquitous Computing (2014): 1-19.
3) Presenters: Wilson.Xu.16@Dartmouth.edu; Jing.Li.GR@Dartmouth.edu;
Roy Want, Bill N. Schilit, and Scott Jenson, “Enabling the Internet of Things” IEEE Computer, Jan 2015
4) Presenters: Rui.Tian.GR@Dartmouth.edu;Hongyu.Chen.15@Dartmouth.edu;;
Rehg, James M., Agata Rozga, Gregory D. Abowd, and Matthew S. Goodwin. "Behavioral imaging and autism." Pervasive Computing, IEEE 13, no. 2 (2014): 84-87.
10.30 AM Tues: Sarah Lord (Director, Dissemination & Implementation Core, Center for Technology and Behavioral Health) -- substance abuse disorders.
10.00 AM Wed and Thurs: Project show_and_tell_2 (Times to be announced)
10.00 AM Tues: Demo Day.