Applied Informatics Group

Statistical analysis of characteristics of Infant-Directed-Interaction with respect to action structure

TitleStatistical analysis of characteristics of Infant-Directed-Interaction with respect to action structure
Publication TypeMaster Thesis
AuthorsPeters, A.
Year2008
AbstractAcoustic packaging, intersensory redundancy, motherese and motionese are the main concepts, which describe how acoustic features and body movements of caretakers are adapted intuitively in adult-child-interaction. This thesis will approach the question, whether feature characteristics highlight certain parts of child-directed actions. The main part focuses on the statistical examination of four features, Eye-Gaze, Intonation, Word, Velocity of Hand Motion of child-directed demonstrations. The auditory and visual signals of the recorded toy demonstrations were divided into meaningful segments for this examination. Then the composition of each feature and its values (fc) in each segment is analysed. A conditional probability model P(Segmentxj|fcj) is computed to answer the question: in which segment (Segmentx) is, an already appeared feature characteristic fcj , likely to occur? Patterns of high conditional probability values have been identifi ed for distinct feature characteristics and provide a basis for a future automatically classi cation.
Supervised ByWrede, B., and L. Schillingmann
Academic DepartmentFaculty of Technology
UniversityBielefeld University
AttachmentSize
masterHypRef.pdf2 MB

Recent Best Paper/Poster Awards

Goal Babbling of Acoustic-Articulatory Models with Adaptive Exploration Noise
Philippsen A, Reinhart F, Wrede B (2016)
International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob) 
PUB | PDF

 

Are you talking to me? Improving the robustness of dialogue systems in a multi party HRI scenario by incorporating gaze direction and lip movement of attendees
Richter V, Carlmeyer B, Lier F, Meyer zu Borgsen S, Kummert F, Wachsmuth S, Wrede B (2016)
International Conference on Human-agent Interaction (HAI) 

 

"Look at Me!": Self-Interruptions as Attention Booster?
Carlmeyer B, Schlangen D, Wrede B (2016)
International Conference on Human Agent Interaction (HAI)
PUB | DOI

 

For members