Two is better than one: Apologies from two robots are preferred.

Although the capabilities of service robots are increasing, avoiding any mistakes is difficult. Therefore, strategies for mitigating mistakes, such as apology behavior designs, are essential for service robots. Past studies reported that costly apology is perceived as more sincere than non-costly ones and more acceptable.

Stay away from me: Coughing increases social distance even in a virtual environment.

This study investigated whether the coughing behaviors of virtual agents encourage infection avoidance behavior, i.e., distancing behaviors.

Kawaii emotions in presentations: Viewing a physical touch affects perception of affiliative feelings of others toward an object.

We investigated how a presenter's touching behaviors of an object during its explanation affect the observer's perceived feelings of kawaii, a Japanese word that means "cute," toward the object and the presenter. We conducted a face-to-face experiment with a robot presenter as well as a web survey experiment with both robot and human presenters. Based on the phenomenon that people more firmly touch an object when their perceived kawaii feeling is overwhelmingly strong, we investigated the effects of touching behavior with emphasized styles.

Two is better than one: Social rewards from two agents enhance offline improvements in motor skills more than single agent.

Social rewards as praise from others enhance offline improvements in human motor skills. Does praise from artificial beings, e.g.

Coevolution of the Asymmetric Morphology and the Behaviour of Simple Predator Agents in Predator-Prey Pursuit Problem.

Humanity has long strived to create microscopic machines for various purposes. Most prominent of them employ nanorobots for medical purposes and procedures, otherwise deemed hard or impossible to perform. However, the main advantage of this kind of machines is also their main drawback-their small size.

A biomolecular computing method based on Rho family GTPases.

In this paper, we propose a new biomolecular computing method based on Rho family GTPases, and discuss the schemes of representation and operations of molecular computing by Rho family GTPases applied to solve large-scale 3-SAT problems. We also present the optimal condition for the regulation schemes dependent on the temperature, kinase activity, and types of cells. This work is important for potential implementation of biomolecular computers using Rho family GTPases in which an optimized controlling scheme can make the best use of the interactions of signaling pathways in a computing system made by the large-scale abundance of kinases and phosphatases in cells.