000			04387nam a22004578i 4500
001			CR9781316676202
003			UkCbUP
005			20240730160756.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			151211s2017||||enk o ||1 0|eng|d
020			_a9781316676202 (ebook)
020			_z9781107161269 (hardback)
020			_z9781316613832 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA76.9.H85 _bS633 2017
082	0	0	_a621.382/2 _223
245	0	0	_aSocial signal processing / _c[edited by] Judee K. Burgoon, Nadia Magnenat-Thalmann, Maja Pantic, Alessandro Vinciarelli.
264		1	_aCambridge : _bCambridge University Press, _c2017.
300			_a1 online resource (xii, 428 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 17 Jul 2017).
505	0		_aWhat does it mean to be social? distinguishing social from biological signal systems -- Universal dimensions of social cognition -- Measuring responses to nonverbal social signals: research on affect receiving ability -- Computational analysis of vocal expression of affect - trends and challenges -- The vertical dimension of social signaling -- Self-presentation: signaling personal and social characteristics -- Interaction coordination and adaptation -- Social signals and persuasion -- Social presence in CMC and VR -- Facial actions as social signals -- Automatic analysis of bodily social signals -- Computational approaches for personality prediction -- Automatic analysis of aesthetics: human beauty, attractiveness, and likability -- Interpersonal synchrony: from social perception to social interaction -- Automatic analysis of social emotions -- Social signal processing for automatic role recognition -- Machine learning methods for social signal processing -- Speech synthesis: state-of-the-art and challenges for the future -- Body movements generation for virtual characters and social robots -- Approach and dominance as social signals for affective interfaces -- Virtual reality and prosocial behaviour -- Social signal processing in social robotics -- Social signal processing for surveillance -- Analysis of small groups -- Multimedia implicit tagging -- Social signal processing for conflict analysis and understanding -- Social signal processing and socially assistive robotics in developmental disorders -- Social signal of deception and dishonesty.
520			_aSocial Signal Processing is the first book to cover all aspects of the modeling, automated detection, analysis, and synthesis of nonverbal behavior in human-human and human-machine interactions. Authoritative surveys address conceptual foundations, machine analysis and synthesis of social signal processing, and applications. Foundational topics include affect perception and interpersonal coordination in communication; later chapters cover technologies for automatic detection and understanding such as computational paralinguistics and facial expression analysis and for the generation of artificial social signals such as social robots and artificial agents. The final section covers a broad spectrum of applications based on social signal processing in healthcare, deception detection, and digital cities, including detection of developmental diseases and analysis of small groups. Each chapter offers a basic introduction to its topic, accessible to students and other newcomers, and then outlines challenges and future perspectives for the benefit of experienced researchers and practitioners in the field.
650		0	_aHuman-computer interaction. _96196
650		0	_aSignal processing. _94052
650		0	_aHuman face recognition (Computer science) _94071
650		0	_aNonverbal communication. _974646
650		0	_aFacial expression. _974647
650		0	_aPattern recognition systems. _93953
650		0	_aMultimodal user interfaces (Computer systems) _99693
700	1		_aBurgoon, Judee K., _eeditor. _974648
700	1		_aMagnenat-Thalmann, Nadia, _d1946- _eeditor. _97112
700	1		_aPantic, Maja, _d1970- _eeditor. _974649
700	1		_aVinciarelli, Alessandro, _eeditor. _974650
776	0	8	_iPrint version: _z9781107161269
856	4	0	_uhttps://doi.org/10.1017/9781316676202
942			_cEBK
999			_c84197 _d84197