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A Comparison of Map vs . Text Directions for a Handheld Device in a Campus Setting: A Pilot Study

A Comparison of Map vs . Text Directions for a Handheld Device in a Campus Setting: A Pilot Study. December 2001. Map vs. Text Directions. Which one is more effective? Less time, less errors Does route complexity have an effect? Use by pedestrians instead of drivers Lack of landmarks

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A Comparison of Map vs . Text Directions for a Handheld Device in a Campus Setting: A Pilot Study

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  1. A Comparison of Map vs. Text Directions for a Handheld Device in a Campus Setting: A Pilot Study December 2001

  2. Map vs. Text Directions • Which one is more effective? • Less time, less errors • Does route complexity have an effect? • Use by pedestrians instead of drivers • Lack of landmarks • No street names, etc.

  3. Rover • Context-aware, location-aware • Location awareness via GPS, RF, IR, etc. • Provides information depending on: • User profile • Device profile • Location • Context • Useful in many domains • Tourism • Commerce

  4. Background Research • Williams studies (1999) – pilots finding nearest airport using maps or text • Maps are faster and more accurate • ERF tasks had better results with track-up • WRF tasks had better results with north-up • Aretz,1991 – ERF vs. WRF • Ego-centered frame  track-up • World-centered frame  north-up • Butz, 2001 – landmarks at key decision points

  5. Experiment – Hypotheses • Hypotheses: • Null: There is no statistical difference between completion time, consultation time and number of errors between text and map directions, regardless of route complexity. • H1: Users will complete the tasks faster using map directions. • H2:Users will make fewer errors using map directions. • H3: Users will need less consultation time using text directions. • H4: Completion time will rise with increasing route complexity.

  6. Experiment – Variables • IVs & Treatments • Direction type: map vs. text • Route complexity: low, medium, high • Low: 3 decision points, 893 ft • Medium: 5 decision points, 897 ft • High: 7 decision points, 883 ft • DVs • Completion time • Consulting time • Errors

  7. Experiment – Materials • Subjects • 7 male, 5 female • Undergrad & grad UMCP students • Other materials • Pre & post-task questionnaires • VZ-2

  8. Experiment – Tasks • Navigate 3 routes using directions • Within-subjects for routes • Between-subjects for direction type • 2 stopwatches • Route permutations:

  9. Screen Shots Text Implementation Map Implementation

  10. Results – Completion Time • Main effect for route: significant • Main effect for direction: ns • Interaction effect: ns

  11. Results – Consultation Time • Main effect for route: significant • Main effect for direction: ns • Interaction effect: ns

  12. Results – Errors • Main effect for route: significant • Main effect for direction: ns • Interaction effect: ns

  13. Observations • Learning seemed to have a significant effect on the results • Most errors occurred at non-dead ends • People are different • Huge variance in user performance in both map and text implementations • Difficulty judging distances in text version • Rotate map for track-up bearings • Looking ahead caused problems

  14. Conclusions • Need many more subjects • Text directions are difficult to describe in college campus environment • Feedback from “real” context-aware equipment could improve performance • Track-up display for map could decrease orientation time • Hybrid to accommodate variations in user cognitive strengths

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