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Does automatic game difficulty level adjustment improve acrophobia therapy?: differences from baseline.

, , , , and . VRST, page 78:1-78:2. ACM, (2018)

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Emotion Classification Based on Biophysical Signals and Machine Learning Techniques., , , , , and . Symmetry, 12 (1): 21 (2020)Haptic-auditory perceptual feedback based training for improving the spatial acoustic resolution of the visually impaired people., , , , , , and . ICAD, page 21-28. Institute of Electronic Music and Acoustics (IEM), University of Music and Performing Arts Graz (KUG), Austria, (2015)Perceptual feedback training for improving spatial acuity and resolving front-back confusion errors in virtual auditory environments., , , , and . TSP, page 334-337. IEEE, (2017)Mastering an advanced sensory substitution device for visually impaired through innovative virtual training., , , , , , , , , and 1 other author(s). ICCE-Berlin, page 120-125. IEEE, (2017)A Systematic Review of the Methods and Experiments Aimed to Reduce Front-Back Confusions in the Free-Field and Virtual Auditory Environments., , and . RoCHI, page 24-29. Matrix Rom, (2018)Developing a navigational 3D audio game with hierarchical levels of difficulty for the visually impaired players., , , and . RoCHI, page 49-54. Matrix Rom, (2015)Classifying the Levels of Fear by Means of Machine Learning Techniques and VR in a Holonic-Based System for Treating Phobias. Experiments and Results., , , , and . HCI (11), volume 12191 of Lecture Notes in Computer Science, page 357-372. Springer, (2020)Automatic Adaptation of Exposure Intensity in VR Acrophobia Therapy, based on Deep Neural Networks., , , , and . ECIS, (2019)An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy., , , , and . Sensors, 20 (2): 496 (2020)Towards a Human-Centered Approach for VRET Systems: Case Study for Acrophobia., , , , , and . ISD, ISEN Yncréa Méditerranée / Association for Information Systems, (2019)