Special Issue "User Interfaces to Pave the Way for Interaction with Tomorrow’s Vehicles"

A special issue of Multimodal Technologies and Interaction (ISSN 2414-4088).

Deadline for manuscript submissions: closed (15 March 2019)

Special Issue Editors

Guest Editor
Prof. Andreas Riener

Technische Hochschule Ingolstadt, Faculty of Electrical Engineering and Computer Science, Esplanade 10, D-85049 Ingolstadt, Germany
Leader of the Human-Computer Interaction Group (HCIG)
Research professor for “Human factors, ergonomics, and driver-vehicle interaction” at CARISSMA (Center of Automotive Research on Integrated Safety Systems and Measurement Area)
Head of undergrad degree program User Experience Design (UXD)
Website | E-Mail
Interests: driving ergonomics; driver state estimation from physiological measures; Human factors in driver-vehicle interfaces; and trust/acceptance/ethics in automated driving
Guest Editor
Prof. Myounghoon Jeon

Virginia Tech, Grado Department of Industrial and Systems Engineering, Blacksburg, 24061 VA, USA
Director of the Mind Music Machine Lab
Center for Human-Computer Interaction
Website | E-Mail
Interests: automotive user interfaces; auditory displays; affective computing; assistive technologies

Special Issue Information

Dear Colleagues,

Automotive user interfaces and automated vehicle technologies pose numerous challenges to support all diverse facets of user needs. These range from inexperienced, thrill-seeking, young novice drivers to elderly drivers with a mostly opposite set of preferences together with their natural limitations. In the future, the driving task will increasingly be shared between the driver and the vehicle (level 3) or the driver will be pushed into a passive passenger role (level 4). In the long term, full automation (level 5) will require totally new UI/UX concepts – as the drivers don't need to control the vehicle or are not allowed to do. Thus, we need to put efforts into the design of radically new automotive user interfaces to support the driver/passenger in different levels and activities. Acceptance of these new technologies will, however, be highly dependent on aspects like trust in technology and acceptance of the automated driving system (ADS) as well as the successful communication of system state/black-box behavior (vehicle intentions). In this regard, the decision-making algorithm (moral decision?) will play an important role. This special issue is set on top of this problem and inviting submissions related to the following topics (but are not limited to):

  • Transfer of control between driver and vehicle (forth and back, switching between levels)
  • Trust in technology and acceptance of assistance systems
  • Ways for effective office work in cars (reading, typing)
  • Driver state estimation (e.g., emotions, mind wandering, situation awareness, readiness to takeover, etc.)
  • Communication in the exterior, e.g., concepts for vehicle-pedestrian interaction
  • Novel forms of communication (gestures, speech, brain-computer interfaces)
  • Artificial intelligence technologies in the car
  • In-vehicle AR/VR applications

Prof. Andreas Riener
Prof. Myounghoon Jeon
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Multimodal Technologies and Interaction is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Transfer of control between driver and vehicle (forth and back, switching between levels)
  • Trust in technology and acceptance of assistance systems
  • Ways for effective office work in cars (reading, typing)
  • Communication in the exterior, i.e. concepts for vehicle-pedestrian interaction
  • Novel forms of communication (gestures, speech, brain-computer interfaces)
  • Artificial intelligence technology in the car
  • In-vehicle AR/VR applications

Published Papers (1 paper)

View options order results:
result details:
Displaying articles 1-1
Export citation of selected articles as:

Research

Open AccessArticle The Voice Makes the Car: Enhancing Autonomous Vehicle Perceptions and Adoption Intention through Voice Agent Gender and Style
Multimodal Technologies Interact. 2019, 3(1), 20; https://doi.org/10.3390/mti3010020 (registering DOI)
Received: 5 February 2019 / Revised: 16 March 2019 / Accepted: 16 March 2019 / Published: 21 March 2019
PDF Full-text (1004 KB) | HTML Full-text | XML Full-text
Abstract
The present research explores how autonomous vehicle voice agent (AVVA) design influences autonomous vehicle passenger (AVP) intentions to adopt autonomous vehicles. An online experiment (N = 158) examined the role of gender stereotypes in response to an AVVA with respect to the [...] Read more.
The present research explores how autonomous vehicle voice agent (AVVA) design influences autonomous vehicle passenger (AVP) intentions to adopt autonomous vehicles. An online experiment (N = 158) examined the role of gender stereotypes in response to an AVVA with respect to the technology acceptance model. The findings indicate that characteristics of the AVVA that are more consistent with the stereotypical expectation of the social role (informative male AVVA and social female AVVA) foster greater perceived ease of use (PEU) and perceived usefulness (PU) than inconsistent conditions (social male AVVA and informative female AVVA). The study offers theoretical implications regarding the technology acceptance model in the context of autonomous technologies as well as practical implications for the design of autonomous vehicle voice agents. Full article
Figures

Figure 1

Multimodal Technologies Interact. EISSN 2414-4088 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top