Measuring the Impact of Museum Architecture, Spaces and Exhibits on Virtual Visitors Using Facial Expression Analysis Software

Since the launch of online video portals in 2005, museums have encouraged visitors toΒ upload and share their visits online. Although much has been written about visitors’ experiences inΒ museums, very little exists on the impact virtual visits have on viewers. In this qualitative pilot study,Β a total of 2035 emotional reactions were recorded and analyzed after visiting 14 online museums usingΒ a facial expression recognition software. Following open and axial coding techniques, themes andΒ subcategories emerged. Findings showed that while the background of the participant mediated howΒ one experiences a museum online, certain architectural and exhibit attributes, if present, triggeredΒ similar emotions to those experienced in an in-person visit. Findings suggest that experiencingΒ museums through online video portals may be as engaging as visiting museums in person-onlyΒ if the creator captures a significant proportion of architectural details, transitioning of spaces andΒ exhibits details. Further findings showed that facial expression software reveals what captures virtualΒ visitors’ emotions, and what architectural and exhibit features keep them curious and engaged.

This publication uses Facial Expression Analysis which is fully integrated into iMotions Lab

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