Hendri Hondorp

Virtual rap dancer: invitation to dance

This paper presents a virtual rap dancer that is able to dance to the beat of music coming in from music recordings, beats obtained from music, voice or other input through a microphone, motion beats detected in the video stream of a human dancer, or motions detected from a dance mat. The rap dancers moves are generated from a lexicon that was derived manually from the analysis of the video clips of rap songs performed by various rappers. The system allows for adaptation of the moves in the lexicon on the basis of style parameters. The rap dancer invites a user to dance along with the music.

Supporting Engagement and Floor Control in Hybrid Meetings

Remote participants in hybrid meetings often have problems to follow what is going on in the (physical) meeting room they are connected with. This paper describes a videoconferencing system for participation in hybrid meetings. The system has been developed as a research vehicle to see how technology based on automatic real-time recognition of conversational behavior in meetings can be used to improve engagement and floor control by remote participants. The system uses modules for online speech recognition, real-time visual focus of attention as well as a module that signals who is being addressed by the speaker. A built-in keyword spotter allows an automatic meeting assistant to call the remote participants attention when a topic of interest is raised, pointing at the transcription of the fragment to help him catch-up.

Interacting with a virtual rap dancer

This paper presents a virtual dancer that is able to dance to the beat of music coming in through the microphone and to motion beats detected in the video stream of a human dancer. In the current version its moves are generated from a lexicon that was derived manually from the analysis of the video clips of nine rap songs of different rappers. The system also allows for adaptation of the moves in the lexicon on the basis of style parameters.

Conveying directional gaze cues to support remote participation in hybrid meetings

We study videoconferencing for meetings with some co-located participants and one remote participant. A standard Skype-like interface for the remote participant is compared to a more immersive 3D interface that conveys gaze directions in a natural way. Experimental results show the 3D interface is promising: all significant differences are in favor of 3D and according to the participants the 3D interface clearly supports selective gaze and selective listening. We found some significant differences in perceived quality of cooperation and organization, and on the opinions about other group members. No significant differences were found for perceived social presence of the remote participants, but we did measure differences in social presence for co-located participants. Measured gaze frequency and duration nor perceived turn-taking behavior did differ significantly.

Erratum to: Intelligent Technologies for Interactive Entertainment

Erratum to: A. Nijholt, D. Reidsma, and H. Hondorp (Eds.) Intelligent Technologies for Interactive Entertainment DOI: 10.1007/978-3-642-02315-6