TimeMerger: Disparate Temporal Data Analysis Sally Divita Martin Stolen UM CMSC 734 Spring 2007

Space Systems Laboratory  Robotic and human systems for space Ranger manipulators MARS experimental space suit  Simulate microgravity Neutral buoyancy tank  Assess individual systems in context  Assess human-robot interaction

Problem: Large Volumes of Data  Robotic arm telemetry data generated at rate of 125 Hz  Messages generated at potentially hundreds per second  Multiple streams of video generated

Problem: Disparate Data Types  continuous: data obtained at regular intervals  discrete: mark events in time  ephemeral: state values  image: photographs of events

Problem: Visualization Needs  Some data require unique aggregation methods to be useful  Some data require time series analysis tools  Some data require exploration via details on demand

Problem: Different Sources  Data is generated from many different sources  Data is not gathered in one place for analysis  No collaborative tool exists for specialists and researchers to share their knowledge

Solution:  Display each data type in a custom visualization  Aligned on a timeline  Provide a mechanism for time exploration  Details on demand +

TimeMerger Demo

Implementation  TimeSearcher code base extended  Older TimeSearcher used (v1.3) Written in java (Mac compatible) Had to add scaling capability  Java, piccolo  Scripts for converting data files

User Response  4 sessions with robotics/software expert Excel and LabVIEW limits current analysis Want to assess context and interactions  Final demo for group of 3 potential users Excited about benefits and possibilities Many ideas for added functionality  Several sources outside of SSL considered it a very valuable and unique tool

THANKS!  Stephen “Kiwi” Roderick for his interest in this project, his time, ideas, and enthusiasm  Harry Hocheiser  Ben Bederson  Ben Shneiderman