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Driver-vehicle confluence or how to control your car in future?

Published: 17 October 2012 Publication History

Abstract

Human-computer confluence (HCC) aims at investigating how the emerging symbiotic relation between humans and computing devices can enable new forms of sensing, perception, interaction, and comprehension. Latest advancements in information and communication technology have been the key enabler that this vision actually became reality. The concept of driver-vehicle confluence is understood as a specific instantiation of HCC, and its main objective is to understand the symbiosis between drivers, cars, and the infrastructure within an arbitrarily large region of interest. This covers not only information sharing within a collective of cars, for example about an oil spill on the road -- more important is to reason about driver states, learn about social connections and emotional influences, and forecast driver action or vehicle movement. All these can be achieved by modeling driver behavior, studying distributed negotiation processes, performing driving studies and simulations, and relating the results back to observations made in reality.
In this visionary paper we identify some of the most crucial problems and present some possible solutions to establish driver-vehicle confluence in the automotive domain. By introducing this concept we are dealing with complex traffic situations, many distributed vehicles (i. e., driver-car pairs) that can act in orchestration, or drivers represented as emoting individuals. The success of any objective to achieve is mainly determined by wide user acceptance. For this reason, advantages and positive effects should superficially be generated for the individual driver. Some examples are reduced traveling time, lower fuel consumption/CO2 emission, or a more relaxed style of driving (improved driving experience and pleasure). Due to the close coupling and interconnectedness of involved entities, effects on the local level would directly induce changes such as increased road safety, traffic flow optimization or enhanced economy of driving, also on the global scale. Two concrete scenarios are outlined in the back of this paper to accentuate the potential and beneficial effects the application of driver-vehicle confluence might have on future traffic.

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  • (2022)Towards Implicit Interaction in Highly Automated Vehicles - A Systematic Literature ReviewProceedings of the ACM on Human-Computer Interaction10.1145/35467266:MHCI(1-21)Online publication date: 20-Sep-2022
  • (2021)To See or Not to SeeProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34481235:1(1-25)Online publication date: 30-Mar-2021
  • (2017)Systematic Literature Review on Automotive Diagnostics2017 VII Brazilian Symposium on Computing Systems Engineering (SBESC)10.1109/SBESC.2017.7(1-8)Online publication date: Nov-2017
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    AutomotiveUI '12: Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
    October 2012
    280 pages
    ISBN:9781450317511
    DOI:10.1145/2390256
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 17 October 2012

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    Author Tags

    1. collective driving
    2. driver-vehicle confluence
    3. emotional state modeling
    4. socializing individuals
    5. traffic optimization

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    View all
    • (2022)Towards Implicit Interaction in Highly Automated Vehicles - A Systematic Literature ReviewProceedings of the ACM on Human-Computer Interaction10.1145/35467266:MHCI(1-21)Online publication date: 20-Sep-2022
    • (2021)To See or Not to SeeProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34481235:1(1-25)Online publication date: 30-Mar-2021
    • (2017)Systematic Literature Review on Automotive Diagnostics2017 VII Brazilian Symposium on Computing Systems Engineering (SBESC)10.1109/SBESC.2017.7(1-8)Online publication date: Nov-2017
    • (2015)Research Issues in Smart Vehicles and Elderly Drivers: A Literature ReviewInternational Journal of Human-Computer Interaction10.1080/10447318.2015.107054031:10(635-666)Online publication date: 25-Jul-2015
    • (2014)Driver-to-Driver Communication on the Highway: What Drivers WantAmbient Intelligence10.1007/978-3-319-14112-1_25(315-327)Online publication date: 12-Dec-2014
    • (2013)Opportunistic synergyProceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/2516540.2516563(30-37)Online publication date: 28-Oct-2013

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