Study description

Recently, there has been a significant increase in effort towards developing AR-based navigation systems (e.g., Google – https://blog.google/products/maps/new-sense-direction-live-view/, Apple – https://vrscout.com/news/apple-maps-introduces-ar-navigation/). We noticed that mainstream AR navigation products often rely on arrows to guide their users. The purpose of this research is to expand our understanding of how to design AR navigation systems.

In this study, you will be evaluating a series of navigation designs to pick your top three designs for a given scenario. Each section of this survey will first present you with the scenario and an image that is relevant to that scenario. Then, there will be 10 designs (i.e., Arrows, Avatars, Call Outs, Check Points, Desaturation, Duplicate Physical Objects, Glowing Path, Saturation, Virtual Street Signs) for you to examine. Your job is to choose the top three designs for a given scenario and to write down any additional comments you have about the given scenario or the designs (e.g., Are there combinations of designs that work well?, Any particular reason behind your three choices?, etc). Each task should take between two and ten minutes. This anonymous data will be used to determine which navigation designs are plausible and satisfactory.

If you have any questions about this study, you should feel free to ask them by contacting the Principal Investigator now at David Lindlbauer, Assistant Professor, Human-Computer Interaction Institute, NSH 4617, 5000 Forbes Ave, Pittsburgh, PA, 15213, davidlindlbauer@cmu.edu. If you have questions later, desire additional information, or wish to withdraw your participation please contact the Principal Investigator by mail or e-mail in accordance with the contact information listed above.

Participant requirements

• Participants need to be 18 years or older.
• Participants must be based in the United States.
• Complete the survey on a desktop computer or laptop, no VR device required

Duration

Medium (20 - 44 mins)

Compensation

$10 Amazon gift card (US participants only)

Recruitment ends

August 30, 2021