Binaural Audio in Hybrid Meetings: Effects on Speaker Identification, Comprehension, and User Experience

Author:

Zhong Sailin1,Rosset Loïc1,Papinutto Michael1,Lalanne Denis1,Alavi Hamed Seiied2

Affiliation:

1. University of Fribourg, Fribourg, Switzerland

2. University of Amsterdam, Amsterdam, Netherlands

Abstract

In 2020, we have witnessed global experimentation of remote co-working, co-learning, and co-habiting, leading to the re-emergence of a collective search for platforms and paradigms that can optimally coalesce the virtual and physical settings - what has been studied as "hybrid models". In this context, we examine the opportunities that the advances in Spatial Audio techniques can create to improve hybrid meetings. Concretely, we present a controlled study in which 84 participants used an online platform to follow six pre-recorded semi-scripted dialogues. The videos were around two minutes long and each of them simulated a piece of conversation in the physical meeting room among three actors who played the role of co-located attendees. The six videos represented six conditions: three auditive formats, (x2) once co-located attendees wore face masks, and once without masks. We compared the experiences of the participants (remote attendees) in these six conditions. Analyzing three types of data, namely, comprehension/memory test results, self-reported ratings, and eye-tracking, we have found reinforcing evidence that demonstrates the benefits of binaural audio in hybrid settings.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

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