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20 results on '"Goudarzi, Visda"'

1. Exploring a Taxonomy of Interaction in Interactive Sonification Systems

Author

Goudarzi, Visda, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ahram, Tareq, editor, Taiar, Redha, editor, Langlois, Karine, editor, and Choplin, Arnaud, editor

Published
2021
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3. Sonification and HCI

Author

Goudarzi, Visda, Tan, Desney, Editor-in-Chief, Vanderdonckt, Jean, Editor-in-Chief, Filimowicz, Michael, editor, and Tzankova, Veronika, editor

Published
2018
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15. PEDdo

Author

Goudarzi, Visda, primary and Tomic, Stanislav, additional

Published
2006
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16. Prototyping a method for the assessment of real-time EEG sonifications

Author

Vogt, Katharina, Andreopoulou, Areti, Goudarzi, Visda, Steffert, Tony, Holland, Simon, Mulholland, Paul, Dalton, Sheep, Väljamäe, Aleksander, Vogt, Katharina, Andreopoulou, Areti, Goudarzi, Visda, Steffert, Tony, Holland, Simon, Mulholland, Paul, Dalton, Sheep, and Väljamäe, Aleksander

Abstract

This paper presents a first step in the development of a methodology to compare the ability of different sonifications to convey the fine temporal detail of the Electroencephalography (EEG) brainwave signal in real time. In EEG neurofeedback a person‟s EEG activity is monitored and presented back to them, to help them to learn how to modify their brain activity. Learning theory suggests that the more rapidly and accurately the feedback follows behaviour the more efficient the learning will be. Therefore a critical issue is how to assess the ability of a sonification to convey rapid and temporally complex EEG data for neurofeedback. To allow for replication, this study used sonifications of pre-recorded EEG data and asked participants to try and track aspects of the signal in real time using a mouse. This study showed that, although imperfect, this approach is a practical way to compare the suitability of EEG sonifications for tracking detailed EEG signals in real time and that the combination of quantitative and qualitative data helped characterise the relative efficacy of different sonifications.

17. Prototyping a method for the assessment of real-time EEG sonifications

Author

Vogt, Katharina, Andreopoulou, Areti, Goudarzi, Visda, Steffert, Tony, Holland, Simon, Mulholland, Paul, Dalton, Sheep, Väljamäe, Aleksander, Vogt, Katharina, Andreopoulou, Areti, Goudarzi, Visda, Steffert, Tony, Holland, Simon, Mulholland, Paul, Dalton, Sheep, and Väljamäe, Aleksander

Abstract

This paper presents a first step in the development of a methodology to compare the ability of different sonifications to convey the fine temporal detail of the Electroencephalography (EEG) brainwave signal in real time. In EEG neurofeedback a person‟s EEG activity is monitored and presented back to them, to help them to learn how to modify their brain activity. Learning theory suggests that the more rapidly and accurately the feedback follows behaviour the more efficient the learning will be. Therefore a critical issue is how to assess the ability of a sonification to convey rapid and temporally complex EEG data for neurofeedback. To allow for replication, this study used sonifications of pre-recorded EEG data and asked participants to try and track aspects of the signal in real time using a mouse. This study showed that, although imperfect, this approach is a practical way to compare the suitability of EEG sonifications for tracking detailed EEG signals in real time and that the combination of quantitative and qualitative data helped characterise the relative efficacy of different sonifications.

20. Prototyping a method for the assessment of real-time EEG sonifications

Author

Steffert, Tony, Holland, Simon, Mulholland, Paul, Dalton, Sheep, Väljamäe, Aleksander, Vogt, Katharina, Andreopoulou, Areti, and Goudarzi, Visda

Subjects
G900, B800
Abstract

This paper presents a first step in the development of a methodology to compare the ability of different sonifications to convey the fine temporal detail of the Electroencephalography (EEG) brainwave signal in real time. In EEG neurofeedback a person‟s EEG activity is monitored and presented back to them, to help them to learn how to modify their brain activity. Learning theory suggests that the more rapidly and accurately the feedback follows behaviour the more efficient the learning will be. Therefore a critical issue is how to assess the ability of a sonification to convey rapid and temporally complex EEG data for neurofeedback.\ud \ud To allow for replication, this study used sonifications of pre-recorded EEG data and asked participants to try and track aspects of the signal in real time using a mouse.\ud \ud This study showed that, although imperfect, this approach is a practical way to compare the suitability of EEG sonifications for tracking detailed EEG signals in real time and that the combination of quantitative and qualitative data helped characterise the relative efficacy of different sonifications.

Published
2015

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