Capturing Passenger Experience in a Ride-Sharing Autonomous Vehicle

Alpers, Benjamin S; Cornn, Kali; Feitzinger, Lauren; Khaliq, Usman; Park, So Yeon; Beigi, Bardia; Hills-Bunnell, Daniel Joseph; Hyman, Trevor; Deshpande, Kaustubh; Yajima, Rieko; Leifer, Larry; Shluzas, Lauren Aquino

doi:10.1145/3409120.3410639

Cited by 11 publications

(2 citation statements)

References 19 publications

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“…Narrowing focus, conveyed information should be straightforward and succinct (Politis et al, 2018). Additionally, the quality and quantity of the information significantly influences one’s confidence in ADS-equipped vehicles (Alpers et al, 2020). Large et al (2019) suggests that DAs should communicate its decisions and actions where possible; Koo et al (2015) argues that presenting why and how the vehicle makes decisions leads to the safest driving performance yet can lead to greater cognitive demands and driver irritation.…”

Section: Introductionmentioning

confidence: 99%

A Framework of Vehicle-Human Communication Features at Traffic Intersections to Enhance Trust and Situation Awareness

Kettle,

Herrera,

Pithayarungsarit

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

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Vehicle manufacturers are advancing their automated driving system (ADS) capabilities with enhanced transparency features. Research supports driving assistants (DA) and augmented reality (AR) displays for conveying the ADS status, actions, and road environment elements. However, providing continuous or irrelevant information degrades driving performance and attitudes towards the ADS. Therefore, the current study sought to create a framework for specific communication features that would enhance drivers’ trust and situation awareness via DA and AR stimuli. Participants watched various driving scenarios and provided their desired communication features to improve trust and situation awareness across modalities. Results identified key themes consistent across events (i.e., current/intended vehicle actions) as well as context-dependent themes such as police presence or pedestrian detection and location. In contrast, auditory cues were identified as redundant across events. These findings can support researchers to focus on relevant information to enhance drivers’ attitudes, awareness, and safety while operating ADS-equipped vehicles.

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Section: Introductionmentioning

confidence: 99%

A Framework of Vehicle-Human Communication Features at Traffic Intersections to Enhance Trust and Situation Awareness

Kettle,

Herrera,

Pithayarungsarit

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

show abstract

“…Recent research projects have also investigated multimodal HMIs to effectively support autonomous wellness [15,16]. In particular, many novel designs explored visualizing health information using interactive light [17], digital assistants [18], ambient [19] and headsup displays [20] in the AV context. Modalities such as auditory [21][22][23][24][25][26], olfactory [27], gaze [28], and tactile [29] interactions have also been applied to improve driving experiences.…”

Section: Introductionmentioning

confidence: 99%

Developing a Multimodal HMI Design Framework for Automotive Wellness in Autonomous Vehicles

Zheng

Ren

2022

MTI

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With the development of autonomous technology, the research into multimodal human-machine interaction (HMI) for autonomous vehicles (AVs) has attracted extensive attention, especially in automotive wellness. To support the design of HMIs for automotive wellness in AVs, this paper proposes a multimodal design framework. First, three elements of the framework were envisioned based on the typical composition of an interactive system. Second, a five-step process for utilizing the proposed framework was suggested. Third, the framework was applied in a design education course for exemplification. Finally, the AttrakDiff questionnaire was used to evaluate these interactive prototypes with 20 participants who had an affinity for HMI design. The questionnaire responses showed that the overall impression was positive and this framework can help design students to effectively identify research gaps and expand design concepts in a systematic way. The proposed framework offers a design approach for the development of multimodal HMIs for autonomous wellness in AVs.

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In-Vehicle Information Design to Enhance the Experience of Passengers in Autonomous Public Buses

Kim

Heo

Lee

2021

HCI in Mobility, Transport, and Automotive Systems

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Capturing Passenger Experience in a Ride-Sharing Autonomous Vehicle

Cited by 11 publications

References 19 publications

A Framework of Vehicle-Human Communication Features at Traffic Intersections to Enhance Trust and Situation Awareness

A Framework of Vehicle-Human Communication Features at Traffic Intersections to Enhance Trust and Situation Awareness

Developing a Multimodal HMI Design Framework for Automotive Wellness in Autonomous Vehicles

In-Vehicle Information Design to Enhance the Experience of Passengers in Autonomous Public Buses

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