HeartPy: A novel heart rate algorithm for the analysis of noisy signals

P Van Gent, H Farah, N Van Nes… - … research part F: traffic …, 2019 - Elsevier
Heart rate data are often collected in human factors studies, including those into vehicle
automation. Advances in open hardware platforms and off-the-shelf photoplethysmogram …

[PDF][PDF] Trust dynamics in human autonomous vehicle interaction: a review of trust models

C Basu, M Singhal - 2016 AAAI spring symposium series, 2016 - cdn.aaai.org
Several ongoing research projects in Human autonomous car interactions are addressing
the problem of safe co-existence for human and robot drivers on road. Automation in cars …

Shifting gears: User interfaces in the age of autonomous driving

AL Kun, S Boll, A Schmidt - IEEE Pervasive Computing, 2016 - ieeexplore.ieee.org
The field of automotive user interfaces has developed rapidly over the last several years. To
date, the field has primarily focused on creating user interfaces that promote safe driving …

What and When to Explain? On-road Evaluation of Explanations in Highly Automated Vehicles

G Kim, D Yeo, T Jo, D Rus, SJ Kim - … of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Explanations in automated vehicles help passengers understand the vehicle's state and
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …

Industrial virtual assistants: Challenges and opportunities

B Schmidt, R Borrison, A Cohen, M Dix… - Proceedings of the …, 2018 - dl.acm.org
Important goals of the process-industry are efficient, safe and resource-saving production.
High expectations have been formulated concerning the linkage of automation technologies …

Progressive disclosure: empirically motivated approaches to designing effective transparency

A Springer, S Whittaker - … of the 24th international conference on …, 2019 - dl.acm.org
As we increasingly delegate important decisions to intelligent systems, it is essential that
users understand how algorithmic decisions are made. Prior work has often taken a …

Classification of driver distraction: A comprehensive analysis of feature generation, machine learning, and input measures

AD McDonald, TK Ferris, TA Wiener - Human factors, 2020 - journals.sagepub.com
Objective The objective of this study was to analyze a set of driver performance and
physiological data using advanced machine learning approaches, including feature …

Hello there! is now a good time to talk? Opportune moments for proactive interactions with smart speakers

N Cha, A Kim, CY Park, S Kang, M Park… - Proceedings of the …, 2020 - dl.acm.org
Increasing number of researchers and designers are envisioning a wide range of novel
proactive conversational services for smart speakers such as context-aware reminders and …

Let me finish before I take over: Towards attention aware device integration in highly automated vehicles

P Wintersberger, A Riener, C Schartmüller… - Proceedings of the 10th …, 2018 - dl.acm.org
A major promise of automated vehicles is to render it possible for drivers to engage in
nondriving related tasks, a setting where the execution pattern will switch from concurrent to …

Predicting opportune moments to deliver notifications in virtual reality

KW Chen, YJ Chang, L Chan - Proceedings of the 2022 CHI Conference …, 2022 - dl.acm.org
Virtual reality (VR) has increasingly been used in many areas, and the need to deliver
notifications in VR is also expected to increase accordingly. However, untimely interruptions …