RESUMEN
Robots navigate ever more often in close proximity to people. In the current work, we focused on two distinctive navigational scenarios: passing and overtaking a person who is walking. In the first experiment, we compared nine different passing distances for a humanoid robot and found that human comfort increased with passing distance and that their relationship could be described by an inverted Gaussian. In the second experiment, we validated this relationship for an industrial autonomous robot and extended the study to also include overtaking distances and different robot moving speeds. The results showed that overtaking was considered to be less comfortable than passing but that the overtaking distance had a similar relationship with human comfort. Human comfort decreases with a higher robot movement speed. Results obtained through location trackers furthermore showed that people actively take a larger distance from the robot when it starts its trajectory closer to them. The current results can be used to quantify human comfort in environments where humans and robots co-exist and they can be used as input for human-aware navigational models for autonomous robots.
RESUMEN
Self-tracking technologies aim to offer a better understanding of ourselves through data, create self-awareness, and facilitate healthy behavior change. Despite such promising objectives, very little is known about whether the implicit beliefs users may have about the changeability of their own behavior influence the way they experience self-tracking. These implicit beliefs about the permanence of the abilities are called mindsets; someone with a fixed mindset typically perceives human qualities (e.g., intelligence) as fixed, while someone with a growth mindset perceives them as amenable to change and improvement through learning. This paper investigates the concept of mindset in the context of self-tracking and uses online survey data from individuals wearing a self-tracking device (n = 290) to explore the ways in which users with different mindsets experience self-tracking. A combination of qualitative and quantitative approaches indicates that implicit beliefs about the changeability of behavior influence the extent to which users are self-determined toward self-tracking use. Moreover, differences were found in how users perceive and respond to failure, and how self-judgmental vs. self-compassionate they are toward their own mistakes. Overall, considering that how users respond to the self-tracking data is one of the core dimensions of self-tracking, our results suggest that mindset is one of the important determinants in shaping the self-tracking experience. This paper concludes by presenting design considerations and directions for future research.
