This document summarizes a project called GametimePLUS that aims to create an ecosystem of easy-to-use, cloud-based tools for real-time mobile statistics collection and visualization for lacrosse. The project seeks to bridge the gap between rapidly expanding data visualization and sports statistics tracking at the non-professional level. It will include an iPad app tailored for lacrosse that facilitates data collection, enables deeper data comprehension through visualization, and tags each piece of data with location and time. The project aims to demonstrate how existing technologies can empower more sports communities to transform data into knowledge.

1. GametimePLUS
LIZ RUTLEDGE
THESIS STUDIO // SPRING 2012
TEAM POBINER/BUTLER
PARSONS MFA DESIGN + TECHNOLOGY 02/24/2012

2. LACROSSE + DATA =
AN ECOSYSTEM OF STATISTICS TRACKING TOOLS THAT ARE TAILORED TO LACROSSe
BUILT ON A SYSTEM THAT COULD BE USED FOR COUNTLESS OTHER SPORTS

3. WHY:
There is a growing gap between the rapidly expanding
field of data visualization and sports statistics tracking
at the non-professional level.

4. WHAT:
I seek to bridge this gap by creating an ecosystem of
easy to use, cloud-based tools for real-time mobile
statistics collection and visualization.

5. PURPOSE:
1) to facilitate and encourage the collection of data
2) to enable deeper comprehension of the data
through visual exploration
3) to enhance traditional game statistics by tagging
each piece of data with the location and time at which
it was recorded.

6. So WHAT:
This will allow for both immediate data analysis and
the preservation of spatiotemporal relationships
between events—without the steep learning curve or
prohibitive costs of professional-grade tools.

7. WHAT I’m MAkING & TESTING
One possible implementation of this system:
an iPad app tailored to the needs of lacrosse.

8. HOW + WHY:
Through a case study focused on several youth
lacrosse teams in New York and the Bay Area,
my project will demonstrate how the thoughtful
reconfiguration of existing technologies can empower
a wider sports community by helping them transform
data into knowledge.

9. AUDIENCE AND OTHER STAKEHOLDERS

10. AUDIENCE AND OTHER STAKEHOLDERS

11. RECENT USER TESTING

12. [field] research:
ULAX Women’s lacrosse league

13. TESTING THE SHOT ATTEMPT
SCOREKEEPING APP
POTENTIAL ASSIST

14. DRAW CONTROL INTERCEPTION
[UNASSISTED] GOAL

15. GAME TAPE:
PORTABLE USER TESTING

16. DESIGN ITERATIONS

17. DESIGN ITERATIONS

18. FIELD TESTING AT THE SOURCE: FIREHAWKS

19. Figure 8.6
EVALUATION: NASA Task Load Index
NASA TASK LOAD INDEX Hart and Staveland’s NASA Task Load Index (TLX) method assesses
work load on five 7-point scales. Increments of high, medium and low
estimates for each point result in 21 gradations on the scales.
Name Task Date
Mental Demand How mentally demanding was the task?
Very Low Very High
Physical Demand How physically demanding was the task?
Very Low Very High
Temporal Demand How hurried or rushed was the pace of the task?
Very Low Very High
Performance How successful were you in accomplishing what
you were asked to do?
Perfect Failure
Effort How hard did you have to work to accomplish
your level of performance?
Very Low Very High
Frustration How insecure, discouraged, irritated, stressed,
and annoyed wereyou?
Very Low Very High

22. THANKYOU.