Literature DB >> 33192878

Corrigendum: External Human-Machine Interfaces for Autonomous Vehicle-to-Pedestrian Communication: A Review of Empirical Work.

Alexandros Rouchitsas1, Håkan Alm1.   

Abstract

[This corrects the article DOI: 10.3389/fpsyg.2019.02757.].
Copyright © 2020 Rouchitsas and Alm.

Entities:  

Keywords:  autonomous vehicles; external human–machine interfaces; human–vehicle interaction; traffic interaction; vehicle-to-pedestrian communication; vulnerable road users

Year:  2020        PMID: 33192878      PMCID: PMC7640756          DOI: 10.3389/fpsyg.2020.575151

Source DB:  PubMed          Journal:  Front Psychol        ISSN: 1664-1078


In the original article, there were five errors. 1. The word “only” was used instead of “mainly.” A correction has been made to section External Human–Machine Interfaces Evaluated Via Empirical Studies, sub-section Studies Employing Physical Prototypes. The corrected sentence reads as follows: “While the aforementioned studies have used mainly subjective measures to assess interface effectiveness, Clamann et al. (2017) evaluated a communication interface by using an objective measure, namely decision time, alongside ratings and interviews.” 2. The word “reaction” was used instead of “decision”. A correction has been made to External Human–Machine Interfaces Evaluated Via Empirical Studies, sub-section VR-Based Studies. The corrected sentence reads as follows: “All designs proved to be efficient, as evidenced by shorter decision times when compared to the baseline condition (autonomous vehicle without interface).” 3. The word “experimental” was used instead of “behavioral”. A correction has been made to Discussion section. The corrected sentence reads as follows: “Interestingly, the most convincing evidence were obtained largely from studies conducted in laboratory settings, namely monitor-based and VR-based studies, that utilized mainly objective measures, like reaction time, duration, and accuracy, in the context of behavioral tasks.” Additionally, there was an error in Table 1 as published. The second-to-final version of Table 1 was included in the original article. The final version of the table appears below.
Table 1

Empirical studies in the field of external human–machine interfaces for autonomous vehicle-to-pedestrian communication.

StudiesStimulus deliveryInterface parametersEvaluation proceduresMeasures
Physical PrototypeMonitor-basedVR-basedTechnologyLocationContent typeInformation typeMessage codingModalityBehavioral taskOnline surveyQuestionnaireObjectiveSubjective
Hensch et al. (2019)DisplayRoofInformationMode, intentionLightsVisualIntention identificationComprehensibility, trust, safety, usefulnessLikert scales, interview
Costa (2017)Cardboard, speakerHood, bumperAdviceTextual, pictorial, soundsVisual, auditoryStreet-crossingFrequency
Mahadevan et al. (2018)Light strip, display, LEDs, printed hand, mobile phone, speakerWindshield, hood, roof, street surface, pedestrian's mobile phoneInformationPedestrian acknowledgment, intentionLights, speech, vibration,gesture, pictorialVisual, auditory, hapticCrossing intentionEffectiveness, confidenceLikert scales, interview
Habibovic (2018)Light stripWindshieldInformationMode, intentionLightsVisualStreet-crossingSafetyLikert scales, interview
Clamann et al. (2017)DisplayRadiator grilleInformation, adviceSpeedTextual, pictorialVisualStreet-crossingEffectivenessDecision timeInterview
Li et al. (2018)DisplayWindshield, radiator grille, vehicle sidesAdviceLightsVisualSituational urgency, crossing intentionNumeric scales, interview
Zhang et al. (2017)Light stripFront doors, hoodInformationIntentionLightsVisualIntention identification, effectivenessInterview
Song et al. (2018)DisplayRadiator grilleAdviceTextual, pictorialVisualCrossing intention, preferenceReaction time, frequencyInterview
Fridman et al. (2017)Light strip, display, projection, vehicle lights and signalsWindshield, headlights, fog lights, directional signals, radiator grille, bumper, street surfaceInformation adviceIntentionTextual, pictorial, lightsVisualCrossing intentionError rates, reaction time
Ackermann et al. (2019)Light strip, display, projectionWindshield, radiator grille, street surfaceInformation, adviceModeLights, textual, pictorialVisualComprehensibility, recognizability, ambiguousness, comfortNumeric scales, interview
Petzoldt et al. (2018)Light stripAbove license plateInformationDecelerationLightsVisualDeceleration detectionUsefulness, safetyError rates, reaction timeLikert scales
Chang et al. (2018)Light strip, display, projection, rotating vehicle lightsWindshield, radiator grille, street surface, headlightsInformationIntentionLights, textual, pictorial, anthropomorphismVisualIntention identificationIntelligibilityError ratesLikert scales
Charisi et al. (2017)Display, light strip, projection, vehicle lights and signalsWindshield, headlights, directional signals, street surfaceInformationIntentionLights, textual, pictorial, anthropomorphismVisualIntention identificationIntention identificationError ratesInterview
de Clercq et al. (2019)Display, vehicle lights and signalsRadiator grille, frontal brake lightsInformation adviceIntentionTextual, lights, pictorialVisualSafety-reportingSafety, preferenceDurationInterview
Hudson et al. (2018)Display, speakerHoodAdviceTextual, pictorial, speech, musicVisual, auditoryStreet-crossingPreferenceInterview
Deb et al. (2018)Display, speakerHoodInformation adviceIntentionLights, pictorial, speech, sounds, musicVisual, auditoryStreet-crossingSafety, acceptanceDecision time, durationLikert scales, interview
Stadler et al. (2019)DisplayRadiator grilleAdviceLights, textual, pictorialVisualStreet-crossingSatisfactionError rates, decision timeNumeric scales, interview
Othersen et al. (2018)DisplayRadiator grilleInformationPedestrian detection, intentionLights, pictorialVisualStreet-crossingEffectiveness, understandability, perceptibility, safety, appealDecision timeInterview
Chang et al. (2017)Rotating vehicle lightsHeadlightsInformationPedestrian acknowledgment, intentionAnthropomorphismVisualCrossing intentionEffectiveness, safetyError rates, reaction timeLikert scales, interview
Böckle et al. (2017)Light strip, speakerVehicle cornersInformationIntentionLights, soundsVisual, auditoryStreet-crossingSafety, comfort, effectivenessDecision timeLikert scales, interview
Empirical studies in the field of external human–machine interfaces for autonomous vehicle-to-pedestrian communication. The authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated.
  3 in total

1.  An experimental study to investigate design and assessment criteria: What is important for communication between pedestrians and automated vehicles?

Authors:  Claudia Ackermann; Matthias Beggiato; Sarah Schubert; Josef F Krems
Journal:  Appl Ergon       Date:  2018-11-20       Impact factor: 3.661

2.  Communicating Intent of Automated Vehicles to Pedestrians.

Authors:  Azra Habibovic; Victor Malmsten Lundgren; Jonas Andersson; Maria Klingegård; Tobias Lagström; Anna Sirkka; Johan Fagerlönn; Claes Edgren; Rikard Fredriksson; Stas Krupenia; Dennis Saluäär; Pontus Larsson
Journal:  Front Psychol       Date:  2018-08-07

3.  External Human-Machine Interfaces on Automated Vehicles: Effects on Pedestrian Crossing Decisions.

Authors:  Koen de Clercq; Andre Dietrich; Juan Pablo Núñez Velasco; Joost de Winter; Riender Happee
Journal:  Hum Factors       Date:  2019-03-26       Impact factor: 2.888

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.