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You are viewing: > Home > Research > Research Profiles > Friend Forecaster: Cellphone Software Aiding Memory for Games
  • Computational Analysis of Ice Hockey Gameplay
  • Online Music Recommendation and the Problem of Missing Ratings
  • Speech Summarization
  • Novel Interfaces for Molecular Visualization
  • Using a Physical Object to Control a Virtual 3D Object
  • Amigo: Proximity-Based Authentication
  • Grapevine
  • Modelling Complex Financial Instruments
  • Using Language to Learn Structure Appearance Models for Image Annotation
  • Stylization of Character Motion
  • ILoveSketch
  • JSCOOP: A High-Level Concurrency Framework for Java
  • Dezombify
  • SPIDER Data Cleaning Tool
  • Cognitive Orthosis for Assisting Activities in the Home
  • NAViGaTOR Visualizing Protein Interaction Networks
  • Friend Forecaster: Cellphone Software Aiding Memory for Games

Friend Forecaster: Cellphone Software Aiding Memory for Games

Friend Forecaster Project
Have you ever recognized someone but forgot their name? Friend Forecaster is a new context-aware mobile phone application that uses information such as timing and location to predict who the user will see at a given place and time. Developed for a variety of platforms, Friend Forecaster was developed using both participatory and user-centred design practices, and has benefited from research conducted with a variety of populations: from businesspeople to senior citizens with clinically-diagnosed memory problems. Early user testing has revealed a variety of need areas and highlighted issues important to the design process.

Project Site

Ron Baecker Faculty
Kent Fenwick Graduate Student
Mike Massimi Graduate Student


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