11th AREA Member Research Project Proposal Ballot

Voting Process

As a member in good standing you are invited to vote for one of the 11th AREA-directed research project topics.

Explanation and supporting materials for each of the topics has been prepared by the members for your review. In the table below please find:

If you have any questions or require further detailed information about the AREA Research selection process, please request details of the policies and procedures by sending e-mail to the AREA Research Committee Chair, Christine Perey or Executive Director Mark Sage.

The deadline for this ballot is March 23rd, 2022, Midnight Eastern.

Please review the materials below and then use the form at the bottom of this page to submit your vote.

 

Introduction to the 11th AREA-directed Research Project Topic Pitching Session by Mark Sage, Executive Director.

 

 

Topic number Topic Presenter Name and Affiliation Topic Title  Video/Presentation Proposal  materials    (PowerPoint) Proposal  materials
#1 Category: Technology Maturity Assessment Automatic Feature Detection/Recognition for Improved User Identity Management and Data Protection Automatic Feature Detection/Recognition for Improved User Identity Management and Data Protection
#2 Aaron Cohen

Realwear

Analysis of the environmental benefits of remote collaboration Analysis of the environmental benefits of remote collaboration
#3 Category: Market Research Barriers to Adoption of Real Time AR-assisted Inspection for Quality and Compliance Barriers to Adoption of Real Time AR-assisted Inspection for Quality and Compliance
#4 Category: Software Development and Standards API for Switching Between Vision-based Tracking Libraries API for Switching Between Vision-based Tracking Libraries
#5 Category: Standards Requirements for Standards to More Seamlessly Integrate Enterprise AR with Existing IT Systems Requirements for Standards to More Seamlessly Integrate Enterprise AR with Existing IT Systems
#6 Simon Groves

National Composite Center (NCC)

Evaluation of the Effectiveness of AR in instructional guides compared against traditional methods Evaluation of the Effectiveness of AR in instructional guides compared against traditional methods

What happens next?

Please use this form below to submit your vote:

    Vote for your preferred research project topic

    Please vote for one of the above research project topics. Vote tally will depend on membership level (Sponsor = 4 points, Contributor and Non-Commercial/Academic = 2 points). Vote one time and for one topic only. Point levels will be applied during vote tally.

    Ballot submitted by: