Driving Under the Influence: How Music Listening Affects Driving Behaviors

Summary

Here, we present a protocol to assess driving behaviors while following a vehicle in a simulated driving environment. The presented protocol is used to compare the impact of different auditory backgrounds on driving behaviors.

Abstract

Car driving is a daily activity for many individuals in modern societies. Drivers often listen to music while driving. The method presented here investigates how listening to music influences driving behaviors. A driving simulation was selected because it offers both a well-controlled environment and a good level of ecological validity. Driving behaviors were assessed through a car-following task. In practice, participants were instructed to follow a lead vehicle as they would do in real life. The lead vehicle speed changed over time requiring constant speed adjustments for the participants. The inter-vehicular time was used to assess driving behaviors. To complement the driving behaviors, the subjective mood and physiological level of arousal were also collected. As such, the results collected using this method offer insights on both the human internal state (i.e., subjective mood and physiological arousal) and driving behaviors in the car following task.

Introduction

Car driving activity has increased quickly over the last decades and is now a daily activity for many individuals in modern societies. In line with this growth, car-driving activity has become a hot topic of investigation for the human factor community¹.

There is an extremely limited number of major cultural activities that typically define humankind regardless of the population and the period of history considered². Music is one of these activities along with tool use and symbolic reasoning underpinning language abilities³. Playing and listening to music is therefore a crucial individual and social activity. Based on an exhaustive literature review, Schäfer et al.⁴ found about 130 different non-redundant functions associated to music listening and three music listening meta-functions were then identified: (1) arousal and mood regulation, (2) self-awareness achievement, and (3) social relatedness expression. As a consequence, people are frequently listening to music in a variety of situations and locations⁵. Among those situations, listening to music while driving is extremely common with drivers reporting listening to music during about three quarters of their driving time⁶.

Music listening is known to impact the listener’s emotional state⁷ and thus to induce mood changes in a variety of situations and research areas⁸. According to the mood congruency theory, a person’s behavior is related to his/her mood⁹ with evidence gained from both neuroimaging¹⁰ and behavioral experiments¹¹. Following this rationale, music listening can change drivers’ mood, which in turn can change driving behaviors.

Musically-induced mood changes while driving were found to result in performance improvements under certain conditions or impairments under other conditions. On the one hand, in complex and highly demanding driving environments, calm music was found to mitigate affective states:  it has a softening effect on negative emotions, reduces the level of stress, and improves driver’s relaxation and calm¹². This relaxing effect was reported to be more efficient when using abrupt music changes compared to gradual music changes¹³. On the other hand, people were slower to detect hazards in driving scenes when anger was previously induced through music and guided imagery compared with neutral mood performances¹⁴. Happy music listening while driving was also found to be detrimental to lateral control efficiency, while sad music had no significant effect on lateral control of the vehicle¹⁵. In brief, drivers’ mood can impact driving performances in opposite ways depending on the music and associated mood induction and on the driving situation considered.

The purpose of the method reported here is to offer an experimentally well-controlled driving situation to investigate the impact of music listening on driving behaviors. To ensure the reproducibility of the driving situation, a method based on driving simulation has been implemented. At the first glance, a driving simulation might be considered as a degraded version of real driving investigations. However, the reality is more complex, and a given experimental setup cannot be considered as the best experimental solution in absolute terms. Rather the best experimental setup is the one that suits the most accurately the needs of the investigation concerned¹⁶. If real car-driving is the experimental setup that best reproduces the everyday life driving situations, it also comes with some drawbacks: driver safety in case of experimental manipulations, potential impairments in terms of driving performances, and difficulties in the control of the driving environment, including traffic, weather conditions, light conditions, level of ambient noise, etc. Conversely, if driving simulators are not as realistic as real vehicles, experimental conditions and manipulations can be strictly controlled and replicated¹⁷. As a result, different participants can be exposed to the exact same experimental conditions. In addition, experimental manipulations potentially impairing driving performances are made possible as only virtual safety (and not real safety) is engaged. Altogether, a driving simulation offers an excellent compromise between the need to conserve the driving activity natural (i.e., external validity) and the need for a strong experimental control (i.e., internal validity).

Protocol

All methods described here have been approved by the Ethics Committee of the Department of Psychology of University Lyon 2 and informed consent was obtained from all participants.

NOTE: Participants were recruited by means of notices posted in the local community and at the University.

1. Participants

1. Ensure that participants have a driving license and at least two years of driving experience.
2. Ensure that participants have normal or corrected to normal vision and audition.
3. Ensure that participants do not suffer from a mental illness (e.g., schizophrenia).
4. Recruit a similar number of females and males.
5. Equip participants with a heart rate belt linked to a watch to monitor heart rate.
6. Ask participants to choose freely their own preferred music track (examples of participants choice: Uptown Funk by Mark Ronson featuring Bruno Mars or Cheerleader by OMI). Ask participants to provide that music track on a USB stick. Use this track to create different musical backgrounds for the experiment (see section 3).

2. Driving simulation

NOTE: The following steps are described based on a new driving simulator, a BB_Sim developed at the Université de Sherbrooke, which includes one computer, three screens, as well as a steering wheel and acceleration and braking pedals for driving controls. The initial study was conducted with a different driving simulator using the open-source OpenSD2S software¹⁸.

1. Set the driving simulation driving noise (i.e., engine of the driven vehicle) at ± 25dB.
2. Seat the participant in front of the simulator, approximately 60 cm from the screens (three screens located in front of the participant, 48 cm x 30 cm each, covering a total of 137.52° of the visual angle on the horizontal axis and 28.65° of the visual angle on the vertical axis), in a modified car seat.
3. Let the participant adjust the distance between the seat and the pedals with the handle underneath the seat.
4. Once the participant is comfortably positioned, provide instructions on using the features of the simulator (i.e., how to interact with the acceleration and braking pedals and the steering wheel).
5. Inform the participant about simulation sickness that can sometimes occur, and let the participant know that the simulation will be stopped at any time if necessary.
6. Use a rural roadway with one traffic lane per direction with five left bends and five right bends and without any traffic.

3. Musical background

1. Use software to modify the tempo of the music, without any pitch modification.
2. Create four auditory backgrounds for each participant: (1) No Music, with no additional music played; (2) Music, each participant preferred music track without modification; (3) Music +10, each participant preferred music track with an increased tempo. The tempo is increased by 10 % of the regular tempo; (4) Music-10, each participant preferred music track with a decreased tempo. The tempo is decreased by 10 % of the regular tempo.
3. Control the intensity of the music. Music intensity is known to modify driving performances¹⁹. Set the intensity to 75 dB for all auditory backgrounds but the No Music condition.
4. Use a software to play one of the four musical backgrounds for the entire duration of each drive. Play the music on two lateral powered monitor speakers located on the right and on the left of the participant.

4. Simulated car-following task

1. Provide instructions concerning the task: "Drive as you would do in a real-life situation. Your goal is to follow the vehicle in front of you at a close but safe constant distance, as if following a friend on an unknown route." Inform the participant that there is no traffic or obstacles on the path.
2. Start the simulation with a training phase in order to familiarize the participant with the driving simulator, the simulated environment, the vehicle controls, and the car-following task. When the participant feels comfortable, stop the training phase.
3. Proceed with the experimental drives. Launch the simulated car-following task and one of the four musical backgrounds.
4. Start recording the heart rate data at the beginning of each simulated car-following task and end it at the end of that driving task.
5. For the simulated car driving task, have the driver first drive for 50 m before stopping at a "Stop" sign. Once the participant’s vehicle has stopped, a leading vehicle appears on the road at the left of the intersection. Instruct the participant to follow the vehicle. After an initial phase in which the speed of the leading vehicle is stationary and set at 20 kph allowing the driven vehicle to catch up, its speed then varies sinusoidally between 45 kph and 70 kph within each period of 60 s for a total of 3 min. Then, ask the participant to stop driving.
6. For the car-following task, use a two-lane road with opposite traffic directions. In order to provide a realistic driving environment, use a road section with a balanced number of left (n = 5) and right bends (n = 5) with various radii of curvature from 45 m to 300 m. Additionally, add visual elements on the edges of the road section such as trees, barriers, fields, and landform.
7. Repeat the car-following task for each of the four musical backgrounds. The car-following task takes about 4 min (3 min of actual car-following plus the beginning and ending of the driving simulation).
   NOTE: The duration of the car-following task can be extended if required.
8. Take a 5 min break between each car-following task to reduce carryover effects.
9. Counterbalance the order of presentation of the four musical backgrounds between participants using a Latin square design.

5. Data collection

1. Collect the participants' subjective mood after each condition using the Brief Mood Introspection Scale (BMIS)²⁰ validated in French^21,22. This questionnaire provides data on participants' mood on four mood dimensions: pleasant/unpleasant, arousal/calm, positive/tired, and negative/relaxed.
2. Collect physiological measures. Compute the mean heart rate and heart rate variability over the entire drive for each experimental condition using the data recorded by the heart rate monitoring watch at a sample per second. In practice, compute mean heart rate by averaging all the data collected during each experimental condition and heart rate variability by calculating the standard deviation on the same data.
3. Measure objective driving behaviors through the mean inter-vehicular time and the inter-vehicular time variability. Record both driven and leading vehicle position and speed at each time step at a sample rate of 60 Hz.
   1. At each time step, compute the inter-vehicular time as the time required for the driven vehicle to reach the position of the lead vehicle if the position of the lead vehicle was frozen and the speed of the driven vehicle was constant.
   2. Average all the values collected for a drive to obtain the mean inter-vehicular time and compute the standard deviation on those values to obtain the inter-vehicular time variability.
      NOTE: Several variables can be computed to qualify driving behaviors during a car-following task. The inter-vehicular time is particularly well-suited as it offers an indication of the safety margin between the driven vehicle and the lead vehicle chosen by the driver.

Results

The main comparisons are based on the following experimental conditions. The first experimental condition is No Music versus Music, a comparison between the No Music background and the individual preferred Music background using a pairwise t-test. These analyses were meant to assess the influence of listening to preferred music compared to a control condition without music. The second experimental condition is four different musical backgrounds, a comparison between No Music, Music, Music +10 and Music -10 corre...

Discussion

The proposed method is well suited for cognitive ergonomic investigations as it offers an excellent compromise between experimental control and ecological vailidity¹⁶. If a strong experimental control is required to ensure that the collected results are related to the experimental manipulations, no results are of interest if restricted to the experimental conditions. Indeed, scientific results are of interest if transferable to real life situations. These assertions do not mean that only real-life...

Materials

List of materials used in this article

Name	Company	Catalog Number	Comments
Audacity software	Audacity	Open source	https://www.audacityteam.org
Driving simulator	Université de Sherbrooke	BB sim
Polar watch with heart rate monitor	Polar	RC3	https://www.polar.com/fr
Speakers	Yamaha	MSP3
Steering wheel and pedals	Logitech	G27