Mobile-based data collection: in real time, over time

Build

Develop custom surveys including a broad array of question types, notification schedules, and phone sensor configurations.

Launch

Deploy surveys to participant lists, tracking user progress and compliance in real time.

Analyze

Visualize responses to survey questions, view data across geographical time and space, and download results for further analysis.

Watch the video

Services

TigerAware is a cross-platform system for collecting information from participants in real life over time. Though the system is inspired by applications in Ecological Momentary Assessment (EMA), it can be used in research studies spanning many domains. This includes the social and medical sciences (including psychological studies on emotion, behavior, and substance use), campus climate tracking, and pharmaceutical trials.

Study Managment Dashboard

Manage creating, deploying, and tracking surveys in real-time with your privately-provisioned database for storing user responses. Allow your participants to confidentially message administrators and view their progress in the study.

iOS & Android Support

Effortlessly deploy your surveys on iOS and Android platforms.

Device Intigraion

Incorporate internal device sensors such as GPS, speed, accelerometer, and ambient light, as well as external devices integrated via Bluetooth.

Support

Leverage our experienced team throughout the build, deploy and analyze steps of your study lifecycle.

Functionality

TigerAware provides a sophisticated mobile data collection toolkit, including a broad array of question types, advanced notification configurations, compliance monitoring, and internal/external device integration.






Question Types Notification Scheduling Compliance Monitoring External & Internal Device Integration
  • Yes/No
  • Multiple Choice
  • Scale
  • Date & Time
  • Time Interval
  • Numeric
  • Branch based on user responses
  • Random notifications: Notifications scheduled within a configured time interval
  • Scheduled notifications: Notifications occurring at a constant time each day
  • Reminder notifications: Activated when a user doesn't provide a response to a scheduled or random notification
  • Follow-ups: Schedule or un-schedule additional surveys based on user responses
  • Offline notification scheduling
  • Track whether users provide responses in a timely manner by enabling custom compliance windows
  • Suspend: participant configurable options to temporarily disable notifications
  • Only allow users to take surveys in a specific time interval
  • Only allow users to provide a fixed number of responses each day
  • Hide surveys outside of notification windows
  • Phone GPS sensor
  • Phone speed sensor
  • BACTrack Alcohol Sensor
  • ResearchKit Gait and Balance Active Task
  • ResearchKit Paced Serial Addition Test (PSAT) Active Task
  • Integration with other ResearchKit Active Tasks upon request
  • Integration with other external devices upon request

Will Morrison–President

From developing avionics software at Boeing, working with mobile AI development at Google, and collaborating with Apple’s UX design team, Will has a considerable breadth of software development experience.

Person

Luke Guerdan–Secretary

Luke is a graduating computer science and psychology student. As a Goldwater Scholar, he has co-authored several papers developing machine learning and software infrastructure for improved behavioral analysis techniques.

Person

Dr. Tim Trull–Treasurer

Dr. Trull has 15 years of experience designing and conducting ecological momentary/ambulatory assessment studies, supported by multiple NIH grants and reported in numerous peer-reviewed publications.

Person

Connor Rowland

Connor is a postgraduate student at Mizzou pursuing a Master's in Computer Science. His experience includes AI, machine learning, and microservice architectures. After graduation, Connor will be working in geospatial intelligence at Raytheon.

Person

Dr. Yi Shang

Dr. Shang is a Professor and Director of Graduate Studies in the EECS Department of MU, with extensive experiences in AI and machine learning, wireless sensor networks, distributed and mobile computing, and bioinformatics.

Person

Nick Wergeles

Nick has over 10 years of industry experience, is the CEO of Streamline Technology Company, teaches CS courses at the University of Missouri, and has published work in machine learning, computer vision, and application development.

Request a Demo

Want to try our software? Provide your email below and we will reach out to get you started.

Contact Info

Demo Requests