Help on the road: Effects of vehicle manual consultation in driving performance across modalities

Álvarez, Ignacio; Alnizami, Hanan; Dunbar, Jerone; Gilbert, Juan E.

doi:10.1016/j.ijhcs.2014.07.001

Cited by 10 publications

(7 citation statements)

References 20 publications

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“…Voice command contributed to the decrease of tracking error and the increase of of time at the appropriate distance, which verified Hypothesis 4 (see Figures 5 and 6). This result corresponds well with Owens et al [27], Miller et al [28], and Alvarez et al [29] that verified the effectiveness of voice command under a dual-task condition. On the other hand, voice command did not further contribute to quick and accurate responses to target cars on the road (see Figure 7 and 8) except for the data that the reaction time on the left side was higher when the GUI task was performed with voice command than when it was performed manually.…”

Section: Discussionsupporting

confidence: 91%

“…Therefore, we anticipate that voice command results in improvements in efficiency of the main driving task in a multi-task situation. This hypothesis is also supported by past findings [24,[26][27][28][29][30] that voice commands were effective under a multi-task situation. Therefore, it is expected that avoidance of response modality competition between manual input to a GUI task and manual tracking, manual distance maintenance and manual response to target cars enhances performances of tracking, distance maintenance, and response to target cars on the road and contributes to the improvement of the three tasks related to driving (Hypothesis 4).…”

Section: Introductionsupporting

confidence: 80%

“…Miller et al [28] showed that hybrid display tasks (auditory response and visual display (input)) were completed more quickly than equivalent audio only tasks (auditory response and auditory display (input)). Alvarez et al [29] found that amongst all modalities, voice interfaces were more effective for consulting information while driving.…”

Section: Introductionmentioning

confidence: 99%

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Effectiveness of Tactile Warning and Voice Command for Enhancing Safety of Drivers

Murata

Doi²,

Karwowski

2022

IEEE Access

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Safety is impaired when drivers are required to perform main driving task (tracking of own car, distance maintenance between own car and a leading car, and response to target objects) and secondary task simultaneously, for example, responding to target cars on the road while operating in-vehicle equipment. A two-factor (presence or absence of tactile warning by input modality (no secondary task, voice command for a secondary task, and manual input for a secondary task)) within-subject design was used to investigate how to compensate for safety impairments (decreased performance of a main and a secondary task such as increased tracking error during driving or increased reaction time to target cars on the road). We investigated whether the use of tactile warnings transmitted via left and right thighs for detecting road objects and voice command to operate in-vehicle equipment could compensate for safety impairments such as the increased reaction time to target cars on the road, the increase of detection error of target cars, or increased tracking error in driving. The accuracy and speed of responses to target cars encountered during driving were reduced when a driver was asked to perform the main and the secondary task simultaneously compared to situations performing only the main driving task (tracking, distance maintenance, and response to target cars). The availability of a tactile warning system for road objects compensated for these diminished performance measures, including slower response times and the increased detection error of target cars. Likewise, voice command contributed to enhanced performance of the main driving task such as decrease of tracking error.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionsupporting

confidence: 80%

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Effectiveness of Tactile Warning and Voice Command for Enhancing Safety of Drivers

Murata

Doi²,

Karwowski

2022

IEEE Access

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“…The interaction of the user with the system must take into account the driving context. Obviously, focusing the user's attention on a visual element only, whether it is shown on a Head-Up Display (HUD) or on a Head-Down Display (HDD), while driving is not the most appropriate [47]. For this reason, another element of interaction with the driver is defined based on sound alerts.…”

Section: Review Of Interfaces and Usabilitymentioning

confidence: 99%

“…If the user has to consult a manual while driving, the workload increases significantly, and the driving performance decreases. The management of the ADAS should not require the use of a manual, or in any case, help should be offered through a voice interface [47]. In 2011, Audi engineers, in cooperation with scientists at the Technische Universitaet Muenchen developed what they called an Avatar-based Virtual Co-driver System (AviCoS), with the main purpose of replacing the manual text, instead delivering it to the driver using an assistant that is more user-friendly and intuitive to use [54].…”

Section: Review Of Interfaces and Usabilitymentioning

confidence: 99%

User Preferences in the Design of Advanced Driver Assistance Systems

et al. 2021

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The transport network and mobility aspects are constantly changing, and major changes are expected in the coming years in terms of safety and sustainability purposes. In this paper, we present the main conclusions and analysis of data collected from a survey of drivers in Spain and Portugal regarding user preferences, highlighting the main functionalities and behavior that an advanced driver assistance system must have in order to grant it special importance on the road to prevent accidents and also to enable drivers to have a pleasant journey. Based on the results obtained from the survey, we developed and present a working prototype for an advanced driver assistance system (ADAS), its architecture and rules systems that allowed us to create and test some scenarios in a real environment.

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