Multimodal Behavior Understanding

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Public Speaking Training with Interactive Virtual Audiences

A generic platform for training social skills with adaptative virtual agents

We present a versatile system for training social skills with interactive virtual agents reacting to the user's automatically assessed performance.

The relationship between task-induced stress, vocal changes, and physiological state during a dyadic team task

It is commonly known that a relationship exists between the human voice and various emotional states. Past studies have demonstrated changes in a number of vocal features, such as fundamental frequency f0 and peakSlope, as a result of varying …

Assessing Public Speaking Ability from Thin Slices of Behavior

An important aspect of public speaking is delivery, which consists of the appropriate use of non-verbal cues to strengthen the message. Recent works have successfully predicted ratings of public speaking delivery aspects using the entire …

Native vs. Non-native language fluency implications on multimodal interaction for interpersonal skills training

New technological developments in the field of multimodal interaction show great promise for the improvement and assessment of public speaking skills. However, it is unclear how the experience of non-native speakers interacting with such …

Multimodal public speaking performance assessment

The ability to speak proficiently in public is essential for many professions and in everyday life. Public speaking skills are difficult to master and require extensive training. Recent developments in technology enable new approaches for public …

Public speaking training with a multimodal interactive virtual audience framework

We have developed an interactive virtual audience platform for public speaking training. Users' public speaking behavior is automatically analyzed using multimodal sensors, and multimodal feedback is produced by virtual characters and generic visual …

An interactive virtual audience platform for public speaking training

We have developed an interactive virtual audience platform for public speaking training. Users' public speaking behavior is automatically analyzed using audiovisual sensors. The virtual characters display indirect feedback depending on user's …

Interpersonal stance recognition using non-verbal signals on several time windows

We present a computational model for interpreting nonverbal signals of a user during an interaction with a virtual character in order to obtain a representation of his interpersonal stance. Our model starts, on the one hand, from the analysis of …