Anna Esposito

 

Associate Professor in Computer Science in the Department of Psychology at the Università della Campania “Luigi Vanvitelli”.  She has formerly been affiliated with the department of Computer Science and Engineering at Wright State University, Dayton, OH, USA (Nov. 2000-Nov. 2002); the International Institute for Advanced Scientific Studies (Italy) (since 1995), and the Research Laboratory of Electronics (MIT) (since 1993 as Research Affiliate), where she developed her Ph.D thesis. She obtained her Ph.D (1995) in Applied Mathematics and Computer Science at Naples University 'Federico II'.

Her teaching responsibilities include Cognitive and Algorithmic Issues of Multimodal Communication, Human Machine Interaction, Cognitive Economy, and Decision Making.

She authored 170+ peer reviewed publications in international journals, books, and conference proceedings. She edited/co-edited more than 25 books/conference proceedings and several journal special issues, among those the International Journal on Artificial Intelligence Tools (IJAIT, 2017),  Journal on Multimodal User Interfaces (2015), The Information Society Journal (2015), Intelligent Decision Technologies (2014), Cognitive Computation (2014, 2012).

She has been the Italian Management Committee Member of several COST ACTIONS, namely COST 277: Nonlinear Speech Processing (2001-2005), COST IC1002: MUMIA: MUltilingual and Multifaceted Interactive information Access (2010 -2014), COST TIMELY: Time in Mental Activity (2010-2014). She has also been the chair of COST 2102: Cross Modal Analysis of Verbal and Nonverbal Communication. At present she is Italian Management Committee Member of COST Action CA15218: Measuring homelessness in Europe and COST Action IS1406: Enhancing children's oral language skills across Europe and beyond.

Current research interests are on cross-modal analysis of speech, gesture, facial and vocal expressions of emotions. Timing perception in language tasks, emotional and social believable Human-Computer Interaction (HCI), neural Networks: learning algorithm, models and applications. The interdisciplinary research background provides a novel perspective in the field of Human Computer Interaction with applications in  Ambient Assistive Technology and developing models for the algorithmic implementation of friendly and emotionally  interactive dialog systems and socially believable ICT multimodal interfaces. Particular efforts are devoted to: a) define qualitative and quantitative behavioural (verbal, nonverbal, and emotional) features for communicative exchanges; b) develop mathematical models measuring the user requirements and expectation in human-computer interaction; c) exploit cognitive and psychological features useful for developing rehabilitation tools to preserve cognitive and motoric abilities.

 

Last update: July 2017 

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