@inproceedings{0d3c9d299d3a4db4a2361a2b50c66717,
title = "Methodology for perceptual evaluation of plausibility with self-translation of the listener",
abstract = "The perceptual evaluation of the Audio Augmented Reality (AAR) experience is typically conducted using authenticity or plausibility as a measure of realism of the sounds. The previous studies usually employed methodologies where participants were comparing the exact reference with real sound. This paper proposes a novel experimental design where participants rate the plausibility of a pair of real or virtual loudspeakers playing consecutively from different positions in the room. This approach sets expectations of the user very close to real-life scenarios where similar but not identical sources exist within one environment. The objective of the study is to assess plausibility and to evaluate spatial sound attributes using two auralization methods which simulate the experimental room. Instead of using the yes/no paradigm, the proposed methodology employs continuous scales which allow gaining insight into the correlation of plausibility with other sound attributes. The preliminary results show that the proposed experimental design was successful in obtaining a meaningful comparison between the two auralizations and the real source. Moreover, the analysis of results suggests that plausibility is a continuous dimension.",
author = "Marta Gospodarek and Olivier Warusfel and Pablo Ripoll{\'e}s and Agnieszka Roginska",
note = "Funding Information: The research protocol was approved by the Research Ethical Committee (CER) of Sorbonne University (CER-2021-083) and by the University Committee on Activities Involving Human Subjects (UCAIHS) of New York University (IRB-FY2021-5112). Funding Information: This material is based upon research supported by the Chateaubriand Fellowship of the Office for Science Technology of the Embassy of France in the United States. The research protocol was approved by the Research Ethical Committee (CER) of Sorbonne University (CER-2021-083) and by the University Committee on Activities Involving Human Subjects (UCAIHS) of New York University (IRB-FY2021-5112). Publisher Copyright: {\textcopyright} 2022 Audio Engineering Society. All rights reserved.; 2022 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022 ; Conference date: 15-08-2022 Through 17-08-2022",
year = "2022",
language = "English (US)",
series = "Proceedings of the AES International Conference",
publisher = "Audio Engineering Society",
pages = "401--410",
booktitle = "AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022",
address = "United States",
}