University of Hertfordshire

By the same authors

We are less free than how we think: Regular patterns in nonverbal communication

Research output: Chapter in Book/Report/Conference proceedingChapter

Standard

We are less free than how we think: Regular patterns in nonverbal communication. / Vinciarelli, Alessandro; Esposito, Anna ; Tayaraninajaran, Mohammadhassan; Roffo, Giorgio ; Scibelli, Filomena ; Perrone, Francesco ; Vo, Dong-Bach .

Multimodal Behavior Analysis in the Wild: Advances and Challenges. ed. / Xavier Alameda-Pineda; Elisa Ricci; Nicu Sebe. 1. ed. Elsevier B.V., 2019. p. 269-288.

Research output: Chapter in Book/Report/Conference proceedingChapter

Harvard

Vinciarelli, A, Esposito, A, Tayaraninajaran, M, Roffo, G, Scibelli, F, Perrone, F & Vo, D-B 2019, We are less free than how we think: Regular patterns in nonverbal communication. in X Alameda-Pineda, E Ricci & N Sebe (eds), Multimodal Behavior Analysis in the Wild: Advances and Challenges. 1 edn, Elsevier B.V., pp. 269-288. https://doi.org/10.1016/B978-0-12-814601-9.00030-4

APA

Vinciarelli, A., Esposito, A., Tayaraninajaran, M., Roffo, G., Scibelli, F., Perrone, F., & Vo, D-B. (2019). We are less free than how we think: Regular patterns in nonverbal communication. In X. Alameda-Pineda, E. Ricci, & N. Sebe (Eds.), Multimodal Behavior Analysis in the Wild: Advances and Challenges (1 ed., pp. 269-288). Elsevier B.V.. https://doi.org/10.1016/B978-0-12-814601-9.00030-4

Vancouver

Vinciarelli A, Esposito A, Tayaraninajaran M, Roffo G, Scibelli F, Perrone F et al. We are less free than how we think: Regular patterns in nonverbal communication. In Alameda-Pineda X, Ricci E, Sebe N, editors, Multimodal Behavior Analysis in the Wild: Advances and Challenges. 1 ed. Elsevier B.V. 2019. p. 269-288 https://doi.org/10.1016/B978-0-12-814601-9.00030-4

Author

Vinciarelli, Alessandro ; Esposito, Anna ; Tayaraninajaran, Mohammadhassan ; Roffo, Giorgio ; Scibelli, Filomena ; Perrone, Francesco ; Vo, Dong-Bach . / We are less free than how we think: Regular patterns in nonverbal communication. Multimodal Behavior Analysis in the Wild: Advances and Challenges. editor / Xavier Alameda-Pineda ; Elisa Ricci ; Nicu Sebe. 1. ed. Elsevier B.V., 2019. pp. 269-288

Bibtex

@inbook{81d307d66a074067b3a2f013ca619c0b,
title = "We are less free than how we think: Regular patterns in nonverbal communication",
abstract = "The goal of this chapter is to show that human behavior is not random but follows principles and laws that result into regular patterns that can be not only observed, but also automatically detected and analyzed. The word “behavior” accounts here for nonverbal behavioral cues (e.g., facial expressions, laughter, gestures, etc.) that people display, typically outside conscious awareness, during social interactions. In particular, the chapter shows that observable behavioral patterns typically account for social and psychological differences that cannot be observed directly. Therefore, the analysis of behavioral patterns is important from a human sciences point of view because it helps to understand how people work. Furthermore, it is becoming increasingly important from a technological point of view because observable behavior can be thought of as the physical, machine detectable trace of social and psychological phenomena. In particular, if it is possible to automatically detect and interpret behavioral patterns, it means that machines can make sense of social and psychological phenomena in the same way as people do.",
author = "Alessandro Vinciarelli and Anna Esposito and Mohammadhassan Tayaraninajaran and Giorgio Roffo and Filomena Scibelli and Francesco Perrone and Dong-Bach Vo",
note = "{\textcopyright} 2019 Elsevier Ltd. All rights reserved.",
year = "2019",
month = jan,
day = "1",
doi = "10.1016/B978-0-12-814601-9.00030-4",
language = "English",
isbn = "9780128146019",
pages = " 269--288",
editor = "Xavier Alameda-Pineda and Elisa Ricci and Nicu Sebe",
booktitle = "Multimodal Behavior Analysis in the Wild",
publisher = "Elsevier B.V.",
edition = "1",

}

RIS

TY - CHAP

T1 - We are less free than how we think: Regular patterns in nonverbal communication

AU - Vinciarelli, Alessandro

AU - Esposito, Anna

AU - Tayaraninajaran, Mohammadhassan

AU - Roffo, Giorgio

AU - Scibelli, Filomena

AU - Perrone, Francesco

AU - Vo, Dong-Bach

N1 - © 2019 Elsevier Ltd. All rights reserved.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - The goal of this chapter is to show that human behavior is not random but follows principles and laws that result into regular patterns that can be not only observed, but also automatically detected and analyzed. The word “behavior” accounts here for nonverbal behavioral cues (e.g., facial expressions, laughter, gestures, etc.) that people display, typically outside conscious awareness, during social interactions. In particular, the chapter shows that observable behavioral patterns typically account for social and psychological differences that cannot be observed directly. Therefore, the analysis of behavioral patterns is important from a human sciences point of view because it helps to understand how people work. Furthermore, it is becoming increasingly important from a technological point of view because observable behavior can be thought of as the physical, machine detectable trace of social and psychological phenomena. In particular, if it is possible to automatically detect and interpret behavioral patterns, it means that machines can make sense of social and psychological phenomena in the same way as people do.

AB - The goal of this chapter is to show that human behavior is not random but follows principles and laws that result into regular patterns that can be not only observed, but also automatically detected and analyzed. The word “behavior” accounts here for nonverbal behavioral cues (e.g., facial expressions, laughter, gestures, etc.) that people display, typically outside conscious awareness, during social interactions. In particular, the chapter shows that observable behavioral patterns typically account for social and psychological differences that cannot be observed directly. Therefore, the analysis of behavioral patterns is important from a human sciences point of view because it helps to understand how people work. Furthermore, it is becoming increasingly important from a technological point of view because observable behavior can be thought of as the physical, machine detectable trace of social and psychological phenomena. In particular, if it is possible to automatically detect and interpret behavioral patterns, it means that machines can make sense of social and psychological phenomena in the same way as people do.

U2 - 10.1016/B978-0-12-814601-9.00030-4

DO - 10.1016/B978-0-12-814601-9.00030-4

M3 - Chapter

SN - 9780128146019

SP - 269

EP - 288

BT - Multimodal Behavior Analysis in the Wild

A2 - Alameda-Pineda, Xavier

A2 - Ricci, Elisa

A2 - Sebe, Nicu

PB - Elsevier B.V.

ER -