Big Data and Multimodal Communication: A Perspective View
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Big Data and Multimodal Communication: A Perspective View. / Navarretta, Costanza; Oemig, Lucretia.
In: Intelligent Systems Reference Library, Vol. 159, 2019, p. 167-184.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Big Data and Multimodal Communication: A Perspective View
AU - Navarretta, Costanza
AU - Oemig, Lucretia
N1 - Anna Esposito, Antonietta M. Esposito & Lakhmi C. Jain (eds.): Innovations in Big Data Mining and Embedded Knowledge. ISBN 978-3-030-15938-2; ISBN 978-3-030-15939-9.
PY - 2019
Y1 - 2019
N2 - Humans communicate face-to-face through at least two modalities, the auditive modality, speech, and the visual modality, gestures, which comprise e.g. gaze movements, facial expressions, head movements, and hand gestures. The relation between speech and gesture is complex and partly depends on factors such as the culture, the communicative situation, the interlocutors and their relation. Investigating these factors in real data is vital for studying multimodal communication and building models for implementing natural multimodal communicative interfaces able to interact naturally with individuals of different age, culture, and needs. In this paper, we discuss to what extent big data “in the wild”, which are growing explosively on the internet, are useful for this purpose also in light of legal aspects about the use of personal data, comprising multimodal data downloaded from social media.
AB - Humans communicate face-to-face through at least two modalities, the auditive modality, speech, and the visual modality, gestures, which comprise e.g. gaze movements, facial expressions, head movements, and hand gestures. The relation between speech and gesture is complex and partly depends on factors such as the culture, the communicative situation, the interlocutors and their relation. Investigating these factors in real data is vital for studying multimodal communication and building models for implementing natural multimodal communicative interfaces able to interact naturally with individuals of different age, culture, and needs. In this paper, we discuss to what extent big data “in the wild”, which are growing explosively on the internet, are useful for this purpose also in light of legal aspects about the use of personal data, comprising multimodal data downloaded from social media.
U2 - 10.1007/978-3-030-15939-9_9
DO - 10.1007/978-3-030-15939-9_9
M3 - Journal article
VL - 159
SP - 167
EP - 184
JO - Intelligent Systems Reference Library
JF - Intelligent Systems Reference Library
SN - 1868-4394
ER -
ID: 223923919