Towards an intelligent system for generating an adapted verbal and nonverbal combined behavior in human–robot interaction

Abstract

In Human-Robot Interaction (HRI) scenarios, an intelligent robot should be able to synthesize an appropriate behavior adapted to human profile (i.e., personality). Recent research studies discussed the effect of personality traits on human verbal and nonverbal behaviors. The dynamic characteristics of the generated gestures and postures during the nonverbal communication can differ according to personality traits, which similarly can influence the verbal content of human speech. This research tries to map human verbal behavior to a corresponding verbal and nonverbal combined robot behavior based on the extraversion-introversion personality dimension. We explore the human-robot personality matching aspect and the similarity attraction principle, in addition to the different effects of the adapted combined robot behavior expressed through speech and gestures, and the adapted speech-only robot behavior, on interaction. Experiments with the humanoid NAO robot are reported.

Adaptive linguistic style for an assistive robotic health companion based on explicit human feedback

“…With spoken language being a very important communication channel, the robot's spoken language is investigated and manipulated in a range of robot experiments. For example, Aly and Tapus [1] realize user-robot personality matching where both gestures and speech are adapted to the human's personality profile. While the authors employ Natural Language Generation (NLG) to generate the robot's spoken words accordingly Tapus et al [30] use scripted utterances to express robot personality and explore adaption in post-stroke rehabilitation therapy.…”

Proceedings of the Workshop on NLG for Human–Robot Interaction

“…Social robots, which adapt their behaviors to human users, are used in a variety of settings. Aly and Tapus (2016) employ NLG with a NAO robot for user-robot personality matching. Both gestures and speech are adapted to the human's personality profile while the user can get information about several restaurants from the robot.…”

Real-Time Robot Personality Adaptation based on Reinforcement Learning and Social Signals

“…In HRI, implementing compelling personality in a social robot makes interaction more interesting, desirable and encourages the establishment of a relationship between user and robot [3]. Moreover, recent research points out that humans prefer robots with similar personality to their own and that the adaptation of a robot's personality to the human's profile makes interaction more engaging [1]. Other results indicate that it depends on the task context whether a similar or opposing personality is preferred [4].…”