The effects of music tempo on simulated driving performance and vehicular control

Brodsky, Warren

doi:10.1016/s1369-8478(01)00025-0

Cited by 203 publications

(186 citation statements)

References 26 publications

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“…Two 650-word texts were chosen for silent reading: the Hebrew text was translated from Brodsky (2002), whereas the English text was taken from Brodsky (2003). In addition, there were five mathematical number line completion exercises (e.g., 22, 27, 25, 30, ?…”

Section: Methodsmentioning

confidence: 99%

The mental representation of music notation: Notational audiation.

Brodsky¹,

Kessler²,

Rubinstein³

et al. 2008

Journal of Experimental Psychology: Human Perception and Perfor

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This study investigated the mental representation of music notation. Notational audiation is the ability to internally "hear" the music one is reading before physically hearing it performed on an instrument. In earlier studies, the authors claimed that this process engages music imagery contingent on subvocal silent singing. This study refines the previously developed embedded melody task and further explores the phonatory nature of notational audiation with throat-audio and larynx-electromyography measurement. Experiment 1 corroborates previous findings and confirms that notational audiation is a process engaging kinesthetic-like covert excitation of the vocal folds linked to phonatory resources. Experiment 2 explores whether covert rehearsal with the mind's voice also involves actual motor processing systems and suggests that the mental representation of music notation cues manual motor imagery. Experiment 3 verifies findings of both Experiments 1 and 2 with a sample of professional drummers. The study points to the profound reliance on phonatory and manual motor processing-a dual-route stratagem-used during music reading. Further implications concern the integration of auditory and motor imagery in the brain and cross-modal encoding of a unisensory input.

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Section: Methodsmentioning

confidence: 99%

The mental representation of music notation: Notational audiation.

Brodsky¹,

Kessler²,

Rubinstein³

et al. 2008

Journal of Experimental Psychology: Human Perception and Perfor

Self Cite

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show abstract

“…Mean tempo (Te) [12] and cepstrum (Ce) were selected as significant characteristics for music classification and relevant impact while driving. The characteristics of these two features in the whole database are presented in Table 1 and the properties ones of the songs selected appeared in Table 2.…”

Section: Ictte 2017mentioning

confidence: 99%

Music Recommendation System for Human Attention Modulation by Facial Recognition on a driving task: A Proof of Concept

et al. 2017

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Abstract. The role of music on driving process had been discussed in the context of driver assistance as an element of security and comfort. Throughout this document, we present the development of an audio recommender system for the use by drivers, based on facial expression analysis. This recommendation system has the objective of increasing the attention of the driver by the election of specific music pieces. For this pilot study, we start presenting an introduction to audio recommender systems and a brief explanation of the function of our facial expression analysis system. During the driving course the subjects (seven participants between 19 and 25 years old) are stimulated with a chosen group of audio compositions and their facial expressions are captured via a camera mounted in the car's dashboard. Once the videos were captured and recollected, we proceeded to analyse them using the FACET™ module of the biometric capture platform iMotions™. This software provides us with the expression analysis of the subjects. Analysed data is postprocessed and the data obtained were modelled on a quadratic surface that was optimized based on the known cestrum and tempo of the songs and the average evidence of emotion. The results showed very different optimal points for each subject, that indicates different type of music for optimizing driving attention. This work is a first step for obtaining a music recommendation system capable to modulate subject attention while driving.

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“…On level three, the tempo is 75% faster than that at level one. The idea is based on the work of Brodsky's [29]. He studied the effects of altering the tempo of a background music on simulated driving and found that as the tempo of the music increases, so does the simulated driving speed.…”

Section: Designing Challenging Activitymentioning

confidence: 99%

Enabling the blind to see gestures

Quek

Oliveira

2013

ACM Trans. Comput.-Hum. Interact.

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(ABSTRACT)Mathematics instruction and discourse typically involve two modes of communication: speech and graphical presentation. For the communication to remain situated, dynamic synchrony must be maintained between the speech and dynamic focus in the graphics. Sighted students use vision for two purposes: access to graphical material and awareness of embodied behavior. This embodiment awareness keeps communication situated with visual material and speech. Our goal is to assist students who are blind or visually impaired (SBVI) in the access to such instruction/communication. We employ the typical approach of sensory replacement for the missing visual sense. Haptic fingertip reading can replace visual material. We want to make the SBVI aware of the deictic gestures performed by the teacher over the graphic in conjunction with speech. We employ a haptic glove interface to facilitate this embodiment awareness. In this research, we address issues from the conception through the design, implementation, evaluation to the effective and successful use of our Haptic Deictic System (HDS) in inclusive classrooms. GRANT INFORMATION

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The effects of music tempo on simulated driving performance and vehicular control

Cited by 203 publications

References 26 publications

The mental representation of music notation: Notational audiation.

The mental representation of music notation: Notational audiation.

Music Recommendation System for Human Attention Modulation by Facial Recognition on a driving task: A Proof of Concept

Enabling the blind to see gestures

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