Javascript must be enabled to continue!
The Decline of User Experience in Transition from Automated Driving to Manual Driving
View through CrossRef
Automated driving technologies are rapidly being developed. However, until vehicles are fully automated, the control of the dynamic driving task will be shifted between the driver and automated driving system. This paper aims to explore how transitions from automated driving to manual driving affect user experience and how that experience correlates to take-over performance. In the study 20 participants experienced using an automated driving system during rush-hour traffic in the San Francisco Bay Area, CA, USA. The automated driving system was available in congested traffic situations and when active, the participants could engage in non-driving related activities. The participants were interviewed afterwards regarding their experience of the transitions. The findings show that most of the participants experienced the transition from automated driving to manual driving as negative. Their user experience seems to be shaped by several reasons that differ in temporality and are derived from different phases during the transition process. The results regarding correlation between participants’ experience and take-over performance are inconclusive, but some trends were identified. The study highlights the need for new design solutions that do not only improve drivers’ take-over performance, but also enhance user experience during take-over requests from automated to manual driving.
Title: The Decline of User Experience in Transition from Automated Driving to Manual Driving
Description:
Automated driving technologies are rapidly being developed.
However, until vehicles are fully automated, the control of the dynamic driving task will be shifted between the driver and automated driving system.
This paper aims to explore how transitions from automated driving to manual driving affect user experience and how that experience correlates to take-over performance.
In the study 20 participants experienced using an automated driving system during rush-hour traffic in the San Francisco Bay Area, CA, USA.
The automated driving system was available in congested traffic situations and when active, the participants could engage in non-driving related activities.
The participants were interviewed afterwards regarding their experience of the transitions.
The findings show that most of the participants experienced the transition from automated driving to manual driving as negative.
Their user experience seems to be shaped by several reasons that differ in temporality and are derived from different phases during the transition process.
The results regarding correlation between participants’ experience and take-over performance are inconclusive, but some trends were identified.
The study highlights the need for new design solutions that do not only improve drivers’ take-over performance, but also enhance user experience during take-over requests from automated to manual driving.
Related Results
Unsettled Topics Concerning User Experience and Acceptance of
Automated Vehicles
Unsettled Topics Concerning User Experience and Acceptance of
Automated Vehicles
<div class="section abstract"><div class="htmlview paragraph">This SAE EDGE Research Report addresses the unsettled topic of user acceptance of
auto...
Plasma Cell Enumeration By Manual and Automated Methods to Establish a Standard Pictorial Reference
Plasma Cell Enumeration By Manual and Automated Methods to Establish a Standard Pictorial Reference
Background
The diagnosis of plasma cell dyscrasias requires accurate, reliable enumeration of bone marrow plasma cell burden. This is typically assessed by manual...
Fertility Transition Across Major Sub-Saharan African Cities: The Role of Proximate Determinants
Fertility Transition Across Major Sub-Saharan African Cities: The Role of Proximate Determinants
Abstract
Background
Sub-Saharan Africa’s fertility transition has lagged behind other regions despite rapid urbanization, resulting in persistently high fertility rates. S...
Non-Recommended Publishing Lists: Strategies for Detecting Deceitful Journals
Non-Recommended Publishing Lists: Strategies for Detecting Deceitful Journals
Abstract
The rapid growth of open access publishing (OAP) has significantly improved the accessibility and dissemination of scientific knowledge. However, this expansion has also c...
Multimodal Emotion Recognition and Human Computer Interaction for AI-Driven Mental Health Support (Preprint)
Multimodal Emotion Recognition and Human Computer Interaction for AI-Driven Mental Health Support (Preprint)
BACKGROUND
Mental health has become one of the most urgent global health issues of the twenty-first century. The World Health Organization (WHO) reports tha...
Automated charging of electric cars for improving user experience and charging infrastructure utilization
Automated charging of electric cars for improving user experience and charging infrastructure utilization
The number of electric cars on the roads is steadily increasing and it is expected that the markets of battery-electric vehicles will experience an accelerated growth during the up...
PocketAID: The Pocket Atlas of Infectious Diseases Mobile Application
PocketAID: The Pocket Atlas of Infectious Diseases Mobile Application
ObjectiveThe Pocket Atlas of Infectious Diseases (PocketAID) mobile application developed at Pacific Northwest National Laboratory (PNNL) provides infectious disease education and ...
Future automobile driving space voice interaction: adapt to the driving scenarios and user personalities
Future automobile driving space voice interaction: adapt to the driving scenarios and user personalities
This paper investigates in-car voice interaction, where in-car voice assistants are becoming a common form of interaction in the car. However, voice assistants are unable to natura...

