Comprehensive Assessment of Family Exposure (CAFE), a novel tool which measures household media use through a web-based survey, time use diary, and the chronicle passive sensing app. CAFE captures the content and context of early media exposure and addresses the limitations of prior media measurement approaches. All three measures are collected online, which allows scalability. The survey covers 10 topics relevant to the child’s immediate media context, including household composition and demographics, parental mediation of media use, parent attitudes toward media use, and access to and regularity of use of different devices frequently used in the modern household. The online 24-hour time diary extensively details media use as a primary and secondary activity at given points in a child’s day. 

The passive sensing tool continuously records mobile device usage on tablets and smartphones in the home. The purpose of this presentation is to introduce how we have used our new tool in different settings. Based on preliminary analysis of CAFE data collected from ~250 participants, we conclude that the time use diary and passive sensing app contribute additional information because parent global estimates alone are not sufficiently accurate.   

Exhibiting: The three-part CAFE tool, consisting of a survey, a time use tool, and the new chronicle app.

GE Healthcare is the $19 billion healthcare business of GE (NYSE: GE). As a leading provider of medical imaging, monitoring, biomanufacturing, and cell and gene therapy technologies, GE Healthcare enables precision health in diagnostics, therapeutics and monitoring through intelligent devices, data analytics, applications and services. With over 100 years of experience in the healthcare industry and more than 50,000 employees globally, the company helps improve outcomes more efficiently for patients, healthcare providers, researchers and life sciences companies around the world.

Exhibiting: Magnetic Resonance Imaging (MRI)

movisens develops solutions for researchers that need to capture data from participants engaged in everyday life activities. We combine expertise in the mobile monitoring of physiological signals and psychological data acquisition to provide research grade tools for ambulatory assessment.

Using innovative hardware and software, the movisens product line includes sensors that capture long term measurements of high resolution ECG, electrodermal activity, and physical activity data. Our data analysis software allows researchers to easily calculate secondary parameters from the raw sensor data with just a few clicks.

Intuitive and flexible, movisenXS sets the standard for Experience Sampling and intervention software. Whilst it’s possible to implement a complete suite of questionnaires with detailed sampling schemas, it also offers many passive data acquisition abilities, such as logging the activity of the participants on their device.

Though each system operates independently, the combination of sensors and experience sampling provides further insights in to the subjective psychological state of the participant from the experience sampling, coupled with the objective physiological state captured by the sensors.

To gain even deeper insights into participant behaviour, the sensors feature the ability to interact with the experience sampling platform, using changes in physiological states to trigger questionnaires or interventions.

Exhibiting:  A range of high fidelity physiological sensors, all featuring 3D accelerometer, 3D Gyroscope, Barometric air pressure sensor, and Proximal temperature sensor, and enhancements that enable the capture of ECG data, or EDA/GSR data, or Light detection. Data Analysis software allowing the extraction of secondary parameters from the physiological data captured by the sensors. An experience sampling app, capable of passive logging of device usage patterns, and also capable of experience sampling or interventions.’’

Demonstrating: physiological sensors and their practical applications and capabilities; details on the Experience Sampling app and its capabilities; and the integration of the two systems to create interventions.

Small data lab @ Cornell Tech designs infrastructure and apps to be modular and reusable so that they can be remixed and repurposed for new services and platform architectures, from research to commercial products. Through our collaborations with researchers spanning healthcare, behavioral economics, human computer interaction and policy, we collaborate to iteratively develop and evolve our services to address issues and problems in the real-world.

Cornell Tech is a graduate school like none other, designed to engage our rapidly evolving global society. Located in New York City.

Exhibiting:    The Digital Marshmallow Test (DMT) is a mobile app that hopes to advance the science in identifying, understanding and, eventually, helping individuals who sometimes have difficulty regulating their behavior or act impulsively in certain situations. Developed on top of ResearchKit (apple.com/researchkit), ResearchStack (researchstack.org) and Aware Framework (awareframework.com).

Good Vibrations is a generalizable mobile intervention that combines nudge theory and negative reinforcement to create a subtle, repeating phone vibration that nudges a user to reduce their digital overload. For example, if a user has a daily Facebook limit of 30 minutes but opens Facebook past this limit, the user’s phone will issue gentle vibrations every five seconds, but the vibration stops once the user navigates away from Facebook. This app successfully decreased daily digital consumption by over 20% in initial trials.

Demonstrating: the research frameworks ResearchKit, ResearchStack, and Aware and the Digital Marshmallow Test and Good Vibrations mobile apps

Tobii Pro helps business and science professionals gain valuable insights into human behavior. Our high-quality eye tracking solutions capture human behavior in a natural way, ultimately affording users access to valuable, objective data about real responses to stimuli.

Exhibiting: Tobii Pro Nano, Glasses 2, X3-120 and Spectrum

Demonstrating: how eye tracking reveals valuable insights in the field of child development