Data Quality And Bias in AR/VR for Gig Workers: Post-Pandemic Lessons

Research Proposal 4.9

Data Quality And Bias in AR/VR for Gig Workers: Post-Pandemic Lessons

Pages

Harvard

Style

~ 10–16 mins

Reading Time

Blockchain FinTech Data Privacy

Abstract

This research proposal investigates “Data Quality And Bias in AR/VR for Gig Workers: Post-Pandemic Lessons” using a survey-based structural equation modeling. Through a human-centered lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

Download PDF Order Similar Paper Save

Data Quality And Bias in AR/VR for Gig Workers: Post-Pandemic Lessons

ABSTRACT

Data Quality And Bias in AR/VR for Gig Workers: Post-Pandemic Lessons is unpacked across themes: KPIs, interoperability, governance, and ethics. Limitations and future research paths are noted.

Open full preview

View Full Paper