論文アブストラクト： Interpersonal distance behaviors can vary significantly across countries and impact human social interaction. Do these cross-cultural differences play out when one of the interaction partners participates through a teleoperated robot? Emerging research shows that when being approached by a robot, people tend to hold similar cultural preferences as they would for an approaching human. However, no work yet has investigated this question from a robot teleoperator's perspective. Toward answering this, we conducted an online study (N = 774) using a novel simulation paradigm across two countries (U.S. and India). Results show that in the role of a telepresence robot operator, participants exhibited cross-cultural differences in interpersonal distance behavior in line with human-human proxemic research, indicating that culture-specific distance behavior can manifest in the way a robot operator controls a robot. We discuss implications for designers who seek to automate path planning and navigation for teleoperated robots.
論文アブストラクト： One contributing factor to how people choose to use technology is their perceptions of associated risk. In order to explore this influence, we adapted a survey instrument from risk perception literature to assess mental models of users and technologists around risks of emerging, data-driven technologies (e.g., identity theft, personalized filter bubbles). We surveyed 175 individuals for comparative and individual assessments of risk, including characterizations using psychological factors. We report our observations around group differences (e.g., expert versus non-expert) in how people assess risk, and what factors may structure their conceptions of technological harm. Our findings suggest that technologists see these risks as posing a bigger threat to society than do non-experts. Moreover, across groups, participants did not see technological risks as voluntarily assumed. Differences in how people characterize risk have implications for the future of design, decision-making, and public communications, which we discuss through a lens we call risk-sensitive design.
論文アブストラクト： In the past, human proxemics research has poorly predicted human robot interaction distances. This paper presents three studies on drone gestures to acknowledge human presence and clarify suitable acknowledging distances. We evaluated four drone gestures based on non-verbal human greetings. The gestures included orienting towards the counterpart and salutation gestures. We tested these individually and in combination to create a feeling of acknowledgement in people. Our users preferred being acknowledged from two meters away but gestures were also effective from four meters. Rotating the drone towards the user elicited a higher degree of acknowledgement than without. We conclude with a set design guidelines for drone gestures.
Human Drone Interaction(HDI)において①人が不快にならないドローンとの距離が2~4mであること②人を認識したことを明示するために人の方向を向く動作が適していること③デザインガイドが示された．
論文アブストラクト： Critical to social human-robot interaction is a robot's emotional richness, expressed within the parameters of its physical display. While emotion arousal is straightforward to convey, human valence (positivity) evaluations are famously ambiguous, whether we are assessing other humans or a robot. Imagine someone breathing raggedly: are they nervous, or excited? To assess the premise that irregular breathing connotes low valence (emotion negativity), we implemented different levels of breathing variability and complexity in simple furry robots. We asked 10 participants to watch and feel the behaviors, rate their valence, and explain their impressions. While a quantitative exploration of new and previous data showed correlation between multi-scale entropy and valence, the rich narratives revealed by thematic analysis of participant explanations call into question whether a single motion can, alone, be unambiguously valenced. Based on this evidence that people perceive robots as having inner lives, we recommend ways to build up narrative contexts over multiple interactions.