Human-Machine Interaction Assessment by Neurophysiological Measures: A Study on Professional Air Traffic Controllers
| Autor: | Viviana Betti, Jean-Paul Imbert, Michela Terenzi, Maxime Reynal, Gianluca Di Flumeri, Fabio Babiloni, Ana Ferreira, Gianluca Borghini, Nicolina Sciaraffa, Antonio Di Florio, Enea Francesco Pavone, Pietro Aricò, Christophe Hurter, Simone Pozzi, Alexandru Telea, Matteo Marucci |
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| Přispěvatelé: | Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Ecole Nationale de l'Aviation Civile (ENAC), Deep Blue Research and Consulting, BrainTrends, University of Groningen [Groningen], BrainSigns, Hangzhou Dianzi University (HDU) |
| Rok vydání: | 2018 |
| Předmět: |
Aircraft
Computer science 0206 medical engineering Biomedical Engineering Signal Processing 1707 Health Informatics 02 engineering and technology Workload 03 medical and health sciences 0302 clinical medicine Hearing Task Performance and Analysis Humans [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] Sound Localization Occupations Man-Machine Systems Simulation Modality (human–computer interaction) Work (physics) Air traffic management Electroencephalography Air traffic control 020601 biomedical engineering Sound intensity Neurophysiological Monitoring Task analysis Auditory Perception 030217 neurology & neurosurgery |
| Zdroj: | EMBC 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) EBMC 2018, 40th International Engineering in Medicine and Biology Conference EBMC 2018, 40th International Engineering in Medicine and Biology Conference, Jul 2018, Honolulu, United States. ⟨10.1109/EMBC.2018.8513212⟩ |
| ISSN: | 2694-0604 |
| DOI: | 10.1109/EMBC.2018.8513212⟩ |
| Popis: | International audience; This study aims at investigating the possibility to employ neurophysiological measures to assess the human - machine interaction effectiveness . Such a measure can be used to compare new technologies or solutions, with the final purpose to enhance operator’s experience and increase safety. I n the present work, two different interaction modalities (Normal and Augmented) related to Air Traffic Management field have been compared , by involving 10 professional air traffic controllers in a control tower simulated environment . Experimental task consisted in locating aircrafts in different airspace positions by using the sense of hearing. In one modality (i.e. “Normal”), all the sound sources (aircraft s ) had the same amplification factor . I n the “Augmented” modality , the amplification factor of the sound sources located al ong the participant head sagittal axis was increased, while the intensity of sound sources located outside this axis decreased . In other words, when the user oriented his head toward the aircraft position, the related sound was amplified. Performance data , subjective questionnaires (i.e. NASA - TLX) and neurophysiological measures (i.e. EEG - based) related to the experienced workload have been collected. Results showed higher significant performance achieved by the users during the “Augmented” modality with respect to the “Normal” one, supported by a significant decreasing in experienced workload, evaluated by using EEG - based index. In addition, Performance and EEG - based workload index showed a significant negative correlation. On the contrary , subjective workload analysis did not show any significant trend. This result is a demonstration of the higher effectiveness of neurophysiological measures with respect to subjective ones for Human - Computer Interaction assessment. |
| Databáze: | OpenAIRE |
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