Meet Sawyer as a laundry sorting robot. The user places the dirty laundry on the sorting table. Sawyer then sorts the dirty laundry by color and places the clothes in the appropriate bins.
see the short video at https://youtu.be/WTvuA9oHP8g
The effects of road environment complexity and age on pedestrian’s visual attention and crossing behavior
Work on pedestrian distraction co-authored with Hagai Tapiro and Yisrael Parmet
Introduction: Little is known how the characteristics of the environment affect pedestrians’ road crossing behavior. Method: In this work, the effect of typical urban visual clutter created by objects and elements in the road proximity (e.g., billboards) on adults and children (aged 9–13) road crossing behavior was examined in a controlled laboratory environment, utilizing virtual reality scenarios projected on a large dome screen. Results: Divided into three levels of visual load, results showed that high visual load affected children’s and adults’ road crossing behavior and visual attention. The main effect on participants’ crossing decisions was seen in missed crossing opportunities. Children and adults missed more opportunities to cross the road when exposed to more cluttered road environments. An interaction with age was found in the dispersion of the visual attention measure. Children, 9–10 and 11–13 years old, had a wider spread of gazes across the scene when the environment was highly loaded—an effect not seen with adults. However, unexpectedly, no other indication of the deterring effect was found in the current study. Still, according to the results, it is reasonable to assume that busier road environments can be more hazardous to adult and child pedestrians. Practical Applications: In that context, it is important to further investigate the possible distracting effect of causal objects in the road environment on pedestrians, and especially children. This knowledge can help to create better safety guidelines for children and assist urban planners in creating safer urban environments.
Not very many posts in 2019 but this does not mean that we have not conducted some really interesting research in our lab. On the contrary
So, over the next few weeks I will begin posting some of our most recent accomplishments.
Here is just one:
Closing the feedback loop – the relationship between input and output modalities in HRI, presentation at the Human Friendly Robotics workshop in Rome 2019
At last its out in the public. This study co-authored by Jen Thropp, James Szalma and PA Hancock investigates how and if LOA (level of automation) should be calibrated in individuals’ traits (specifically here, attentional control).