Search Results - "Eriksson, Alexander"

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  1. 1

    Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control by Eriksson, Alexander, Stanton, Neville A.

    Published in Human factors (01-06-2017)
    “…Objective: The aim of this study was to review existing research into driver control transitions and to determine the time it takes drivers to resume control…”
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    Journal Article
  2. 2

    Is partially automated driving a bad idea? Observations from an on-road study by Banks, Victoria A., Eriksson, Alexander, O'Donoghue, Jim, Stanton, Neville A.

    Published in Applied ergonomics (01-04-2018)
    “…The automation of longitudinal and lateral control has enabled drivers to become “hands and feet free” but they are required to remain in an active monitoring…”
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    Journal Article
  3. 3

    Driving Performance After Self-Regulated Control Transitions in Highly Automated Vehicles by Eriksson, Alexander, Stanton, Neville A.

    Published in Human factors (01-12-2017)
    “…Objective: This study aims to explore whether driver-paced, noncritical transitions of control may counteract some of the aftereffects observed in the…”
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    Journal Article
  4. 4

    A toolbox for automated driving on the STISIM driving simulator by Eriksson, Alexander, de Winter, Joost, Stanton, Neville A.

    Published in MethodsX (01-01-2018)
    “…[Display omitted] Driving simulators have been used since the beginning of the 1930s to assist researchers in assessing driver behaviour without putting the…”
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    Journal Article
  5. 5
  6. 6

    The chatty co-driver: A linguistics approach applying lessons learnt from aviation incidents by Eriksson, Alexander, Stanton, Neville A.

    Published in Safety science (01-11-2017)
    “…•Authority transitions put high demand on human automation co-operation.•Automated driving systems should be designed to act as a chatty co-driver.•Human…”
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    Journal Article
  7. 7

    Design friction in autonomous drive—exploring transitions between autonomous and manual drive in non-urgent situations by Bley, Jessica, Eriksson, Alexander, Johansson, Lisa, Wiberg, Mikael

    Published in Personal and ubiquitous computing (01-12-2023)
    “…In the ongoing turn to automation, the growing trend towards the design of conditionally and highly automated vehicles (C/HAV) is evident. In a CAV, the driver…”
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    Journal Article
  8. 8

    Rolling Out the Red (and Green) Carpet: Supporting Driver Decision Making in Automation-to-Manual Transitions by Eriksson, Alexander, Petermeijer, Sebastiaan M., Zimmermann, Markus, de Winter, Joost C. F., Bengler, Klaus J., Stanton, Neville A.

    Published in IEEE transactions on human-machine systems (01-02-2019)
    “…This paper assessed four types of human-machine interfaces (HMIs), classified according to the stages of automation proposed by Parasuraman et al . ["A model…”
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    Journal Article
  9. 9

    Turing in the driver's seat: Can people distinguish between automated and manually driven vehicles? by Stanton, Neville A., Eriksson, Alexander, Banks, Victoria A., Hancock, Peter A.

    “…As the number of automated vehicles is increasing on our roads, we wanted to know if people could detect if a car was being driven by a human driver or…”
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    Journal Article
  10. 10

    Drivers’ Performance in Non-critical Take-Overs From an Automated Driving System—An On-Road Study by Rydström, Annie, Mullaart, Mattias Söderholm, Novakazi, Fjollë, Johansson, Mikael, Eriksson, Alexander

    Published in Human factors (01-12-2023)
    “…Objective The objective of this semi-controlled study was to investigate drivers’ performance when resuming control from an Automated Driving System (ADS),…”
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    Journal Article
  11. 11

    The effects of information relevancy on driving behavior by Nilsson Henrik, Mullaart Mattias, Strand Niklas, Eriksson, Alexander

    Published in Cognition, technology & work (01-08-2021)
    “…Bus driving is a complex and cognitively challenging task that places high demands on bus drivers’ working memory. Increasing use of “In-Vehicle Information…”
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    Journal Article
  12. 12

    Festschrift in honour of Professor Neville Stanton: A lone crusader in a world of driving simulators by Walker, Guy H., Eriksson, Alexander, Clark, Jediah R., Young, Mark S.

    Published in Applied ergonomics (01-01-2022)
    “…The automotive future has always pointed to a world of intelligent co-pilots and robot cars, but perhaps no more so than Knight Rider. In this 1980's…”
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    Journal Article
  13. 13

    How to keep drivers engaged while supervising driving automation? A literature survey and categorisation of six solution areas by Cabrall, Christopher D. D., Eriksson, Alexander, Dreger, Felix, Happee, Riender, de Winter, Joost

    Published in Theoretical issues in ergonomics science (04-05-2019)
    “…This work aimed to organise recommendations for keeping people engaged during human supervision of driving automation, encouraging a safe and acceptable…”
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    Journal Article
  14. 14

    The effects of information relevancy on driving behavior: A simulator study on professional bus drivers by Nilsson, Henrik, Mullaart, Mattias, Strand, Niklas, Eriksson, Alexander

    Published in Cognition, technology & work (01-08-2021)
    “…Bus driving is a complex and cognitively challenging task that places high demands on bus drivers’ working memory. Increasing use of “In-Vehicle Information…”
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    Journal Article
  15. 15

    Driver behaviour in highly automated driving: An evaluation of the effects of traffic, time pressure, cognitive performance and driver attitudes on decision-making time using a web based testing platform by Eriksson, Alexander

    Published 01-01-2014
    “…Driverless cars are a hot topic in today’s industry where several vehicle manufacturers try to create a reliable system for automated driving. The advantages…”
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    Dissertation
  16. 16

    Area coverage with heterogeneous UAVs using scan patterns by Berger, Cyrille, Wzorek, Mariusz, Kvarnstrom, Jonas, Conte, Gianpaolo, Doherty, Patrick, Eriksson, Alexander

    “…In this paper we consider a problem of scanning an outdoor area with a team of heterogeneous Unmanned Air Vehicles (UAVs) equipped with different sensors (e.g…”
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    Conference Proceeding