In-Vehicle Software System for Fostering Driver’s Attentiveness

Băutu, Elena; Puchianu, Crenguta Madalina; Bran, Emanuela; Sburlan, Dragoş; Popovici, Dorin-Mircea

doi:10.1109/das49615.2020.9108946

Cited by 3 publications

(5 citation statements)

References 16 publications

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“…Previous efforts in the development of the system were directed towards incorporating audio and gestural interaction within an in-vehicle system meant to foster driver's attentiveness, coupled with investigating the use of augmented reality in order to enhance the data visualization inside a smart vehicle [125,126,130,131]. The usability of the referred components was assessed by user-based studies, in a controlled laboratory environment meant to simulate the in-vehicle space.…”

Section: Discussionmentioning

confidence: 99%

“…Various components of the proposed in-vehicle system have been subjected to usability studies, with encouraging results obtained from the users that participated in the experimental evaluation and answered the subsequent usability questionnaires. The now complete system incorporates the previously developed components [125,126,130,131], but employs several important extensions, such as predicting the weather and lighting conditions along the road and analyzing the face of the driver in terms of emotion, blinking and yawning.…”

Section: Heuristic Evaluation Of the Ivismentioning

confidence: 99%

“…In previous work [130,131] we described a component of the current system that assists the driver by automatically filtering, in an adaptive manner, messages and notifications from third party applications, that may distract the driver's attention while driving. We performed a usability study involving a sample of 75 users, selected from a pool of university personnel and students.…”

Section: Heuristic Evaluation Of the Ivismentioning

confidence: 99%

“…We performed a usability study involving a sample of 75 users, selected from a pool of university personnel and students. The subsystem's level of usability and acceptability was appreciated by the users that expressed a high level of experience with mobile apps (Figure 9, details in [131]).…”

Section: Heuristic Evaluation Of the Ivismentioning

confidence: 99%

“…Results on the evaluation of the satisfaction degree of the users regarding the adaptive notification filtering component of the system [131] (percentage of respondents selecting an answer on the Likert scale, 1 for total disagreement, and 5 for total agreement with the questionnaire item; Q5. Interaction with the application requires a high intellectual effort, Q7.…”

Section: Figurementioning

confidence: 99%

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Ubiquitous Computing: Driving in the Intelligent Environment

et al. 2021

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In the context of hyper-connected cars and a growing heterogeneous digital ecosystem, we wish to make the most of the data available from the various sensors, devices and services that compose the ecosystem, in order to propose a proof of concept in-vehicle system that enhances the driving experience. We focus on improving the driving experience along three main directions, namely: (1) driving and trip planning, (2) health and well-being and (3) social and online activities. We approached the in-vehicle space as a smart interface to the intelligent driving environment. The digital data-producers in the ecosystem of the connected car are sources of raw data of various categories, such as data from the outside world, gathered from sensors or online services, data from the car itself and data from the driver gathered with various mobile and wearable devices, by means of observing his state and by means of his social media and online activity. Data is later processed into three information categories—driving, wellness, and social—and used to provide multi-modal interaction, namely visual, audio and gesture. The system is implemented to act in response to the trafficked information on different levels of autonomy, either in a reactive manner, by simple monitoring, or in a proactive manner. The system is designed to provide an in-vehicle system that assists the driver with planning the travel (Drive panel), by providing a comfortable environment for the driver while monitoring him (Wellness panel), and by adaptively managing interactions with their phone and the digital environment (Social panel). Heuristic evaluation of the system is performed, with respect to guidelines formulated for automated vehicles, and a SWOT analysis of the system is also presented in the paper.

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Section: Discussionmentioning

confidence: 99%