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Remote work presents a challenge to workers’ creativity, especially during the COVID-19 pandemic and the stay-at-home requirements. Individual differences in creativity, considered through the lens of distributional models, and their stability across different conditions are unknown. We assess the between-person variability in common metrics of creativity, despite sharing similar experiences of virtual reality and mindfulness. The paper also assesses the stability of an individual’s creativity over time. We measured the creativity of 20 remote-workers daily, during a 9-week study. Creativity was measured with respect to divergent thinking and convergent thinking. Distributional models show significant individual differences in variability of creativity. Stability analyses also revealed that individuals’ creativity is relatively unstable over time— both within and across conditions. Although one measure of divergent creativity was relatively stable, the other was not. We suggest more research should assess the extent of variability in creativity relative to individual differences and under different conditions. 

Recent technological advancements in automation have sparked interest in how automation will affect truck drivers and the truck- ing industry. However, there is a gap in the literature addressing how truck drivers perceive automation and how they believe it will impact trucking. This study aims to understand truck drivers’ perspectives on automation in the trucking industry. Extending a preliminary study, we conducted a broader analysis of comments discussing automation in the r/Truckers subreddit from February 2017 to March 2021. In general, the community had negative senti- ments towards automation in the trucking industry. Participants speculated when automation would become mainstream in truck- ing and discussed the feasibility of automation in the context of executing non-driving tasks and having accommodating infrastruc- ture. Our findings indicate that truck drivers seek to participate in conversations about the future and to prepare themselves for when automation is more prominent in the trucking industry. 

The objective of this CHI course is to provide CHI attendees with an introduction and overview of the rapidly evolving feld of auto- motive user interfaces (AutomotiveUI). The course will focus on UI aspects in the transition towards automated driving. In particular, we will also discuss the opportunities of cars as a new space for non-driving-related activities, such as work, relaxation, and play. For newcomers and experts of other HCI felds, we will present the special properties of this feld of HCI and provide an overview of new opportunities, but also general design and evaluation aspects of novel automotive user interfaces.