We propose a software platform for applications based on socially intelligent agents (SIAs). SIAs are software agents which manifest social intelligence. Although there are many types of social intelligence, we focus on two types, social intelligence for providing emotional support and social intelligence for providing cognitive support. By applying these types of social intelligence, our SIAs are able to simulate human social behavior. We demonstrate how we created the SIAs and describe the conceptual architecture of our software platform. We also show the mechanism for generating the agents' social behavior, which makes our software platform unique. According to the media equation theory, we expect SIAs to benefit users. To examine the effects of SIAs, we designed and implemented two applications. We provide explanation about how SIAs function in these applications and discuss further implications of social intelligence.
The paper describes two related studies that investigated skill transfer between the same workgroups of a bank over a period of 3 months. During this period the smaller group trained the larger group in customer relationship management skills. At the beginning and the end of this period, group members had to describe their interpersonal and intergroup relationships in diagrams using predefined diagrammatic items. The analysis of the diagrams showed that interpersonal characteristics such as friendship, respect, good manners, and interpersonal contact correlate higher with skill transfer (significance level p< 0.01) than intergroup characteristics, which had no significant correlation with skill transfer. A comparison of the two sets of diagrams after two weeks and three months also showed a polarization effect, in that after three months most relationships became more harmonious or more conflict-laden. The latter relationships led to a reduction in skill transfer. This result modifies the contact hypothesis, which emphasized the benefits of close intergroup contact. Consequences for intergroup skill transfer are discussed.
A trick art drawing system based on a torus figure generating algorithm is constructed. The proposed algorithm is based on the shapes and positions of corners of torus figures. The proposed system is able to generate an arbitrary n-bar torus type possible or impossible figure using interactive mouse-clicking operations on a figure generated from n+1 initial inputs only. It is possible to draw a trick art figure by painting each face of the obtained graph. The proposed system can serve as basic tool for experiments on visual psychology and an educational support tool for discrete mathematics classes.