Simulator-based driving test prescreening as a complement to driver testing - Toward safer and more risk-aware drivers.

Young people represent a high-risk group of drivers and the prevalence of road traffic crashes among young drivers is high. Thus, to increase traffic safety, it is essential to ensure that new drivers are both sufficiently educated in and assessed for risk awareness. The aim of this study was to examine the possibility and potential benefit of using a driving simulator screening test as a complement to the existing on-road driving test.

How puzzling is the social artifact puzzle?

In this commentary we would like to question (a) Clark and Fischer's characterization of the "social artifact puzzle" - which we consider less puzzling than the authors, and (b) their account of social robots as depictions involving three physical scenes - which to us seems unnecessarily complex. We contrast the authors' model with a more parsimonious account based on attributions.

Do we really want AI to be human-like?

Behavioral variability can be used to make robots more human-like, but we propose that it may be wiser to make them less so.

Mucocutaneous Squamous Cell Carcinoma in a Yucatan Minipig.

Minipigs are commonly utilized in dermal toxicology studies, necessitating documentation of background findings, including neoplastic lesions. We describe a case of a Yucatan minipig with a squamous cell carcinoma at the mucocutaneous junction of the lip. The neoplasm appeared grossly as a slightly raised area of skin with ulceration.

Do You See what I See? Tracking the Perceptual Beliefs of Robots.

Keeping track of others' perceptual beliefs-what they perceive and know about the current situation-is imperative in many social contexts. In a series of experiments, we set out to investigate people's ability to keep track of what robots know or believe about objects and events in the environment. To this end, we subjected 155 experimental participants to an anticipatory-looking false-belief task where they had to reason about a robot's perceptual capability in order to predict its behavior.