On the use of dance notation systems to generate movements in humanoid robots: The utility of Laban notation in robotics

This article raises the issue of collaboration between the field of dance and that of robotics. Dance notation systems are developed in the choreographic field as a method to describe and record human movements. Translating movements into symbols is of particular concern for computer science and robotics, which are interested in generating anthropomorphic motions in robots or animated avatars. We examine different research projects on the use of Laban notation for this purpose, and present our own attempt at generating dance movements in a humanoid robot from a Laban score. We discuss the interests and difficulties related to the use of a dance notation system in a robotic context.

An exploratory study of using 3D avatars as online salespeople

Purpose – The purpose of this paper is to examine consumers’ perceptions of using different types of 3D animated avatars as salespeople based on credibility, homophily, attractiveness and intention to interact. Design/methodology/approach – Using a survey method, participants (n=120) evaluated four types of 3D animated avatars (i.e. human, fantasy, animal and humanoid) based on the supposition the avatars would represent a salesperson for an online retailer. Findings – The results show that avatar type has a significant influence on the perception of credibility, homophily, and attractiveness. Furthermore, credibility, homophily, and attractiveness significantly influence the intention to interact with the avatar. Overall, the human avatar was found to be perceived as the most credible, homophilous, attractive and was regarded as the highest in relation to intention to interact. Originality/value – The practical and theoretical implications are discussed to offer guidance to online retailers, graphic designers, and researchers in the benefits and pitfalls of utilizing 3D animated avatars as salespeople.