Now showing items 1-10 of 10
Investigating drivers’ trust in autonomous vehicles’ decisions of lane changing events
(2020-10-05)
It is potential to improve the interaction between autonomous vehicles (AVs) and drivers by calibrating drivers’ trust in AVs. In this study, we investigated drivers’ trust in AVs’ decisions of changing lanes on a six-lane ...
From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI
(2019-09-21)
This paper gives an overview of the ten-year devel- opment of the papers presented at the International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutoUI) from 2009 to 2018. We ...
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability
(2020-12-23)
Technological advances in the automotive industry are bringing automated driving closer to road use. However, one of the most important factors affecting public acceptance of automated vehicles (AVs) is the public’s trust ...
A Machine Learning Approach to Customer Needs Analysis for Product Ecosystems
(2019-10-03)
Creating product ecosystems has been one of the strategic ways to enhance user experience and business advantages. Among many, customer needs analysis for product ecosystems is one of the most challenging tasks in creating ...
Analyzing Customer Needs of Product Ecosystems Using Online Product Reviews
(2019-11-25)
It is necessary to analyze customer needs of a product ecosystem in order to increase customer satisfaction and user experience, which will, in turn, enhance its business strategy and profits. However, it is often ...
Predicting Driver Takeover Time in Conditionally Automated Driving
(2022-03-10)
It is extremely important to ensure a safe takeover transition in conditionally automated driving. One of the critical factors that quantifies the safe takeover transition is takeover time. Previous studies identified the ...
Otto: An Autonomous School Bus System for Parents and Children
(ACM CHI, 2020-02-18)
Technological advances in autonomous transportation systems have brought them closer to road use. However, little research is reported on children’s behavior in autonomous buses (ABs) under real road conditions and on ...
Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality
(Elsevier, 2022-07-28)
With the level of automation increases in vehicles, such as conditional and highly automated vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in unexpected driving scenarios. Although ...
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models
(elsevier, 2021-02-28)
Misinformation of COVID-19 is prevalent on social media as the pandemic un- folds, and the associated risks are extremely high. Thus, it is critical to detect and combat such misinformation. Recently, deep learning models ...