Investigating Auditory Human-Machine Interaction: Analysis and Classification of Sounds Commonly Used by Consumer Devices

Drossos K, Kotsakis R, Pappas P, Kalliris GM, Floros A. Investigating Auditory Human-Machine Interaction: Analysis and Classification of Sounds Commonly Used by Consumer Devices. In: AES Convention 134. Audio Engineering Society; 2013. Paper 8812. Available from: https://aes.org/publications/elibrary-page/?id=16713

@inproceedings{Drossos2013_16713,
  author = {Drossos, Konstantinos and Kotsakis, Rigas and Pappas, Panos and Kalliris, George M. and Floros, Andreas},
  title = {{Investigating Auditory Human-Machine Interaction: Analysis and Classification of Sounds Commonly Used by Consumer Devices}},
  booktitle = {AES Convention 134},
  note = {Paper 8812},
  year = {2013},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16713}
}

TY  - CPAPER
TI  - Investigating Auditory Human-Machine Interaction: Analysis and Classification of Sounds Commonly Used by Consumer Devices
AU  - Drossos, Konstantinos
AU  - Kotsakis, Rigas
AU  - Pappas, Panos
AU  - Kalliris, George M.
AU  - Floros, Andreas
T2  - AES Convention 134
M1  - Paper 8812
PY  - 2013
DA  - 2013/05/06
UR  - https://aes.org/publications/elibrary-page/?id=16713
PB  - Audio Engineering Society
LA  - en
AB  - Many common consumer devices use a short sound indication for declaring various modes of their functionality, such as the start and the end of their operation. This is likely to result in an intuitive auditory human-machine interaction, imputing a semantic content to the sounds used. In this paper we investigate sound patterns mapped to "Start" and "End" of operation manifestations and explore the possibility such semantics’ perception to be based either on users’ prior auditory training or on sound patterns that naturally convey appropriate information. To this aim, listening and machine learning tests were conducted. The obtained results indicate a strong relation between acoustic cues and semantics along with no need of prior knowledge for message conveyance.
ER  -