Politecnico di Torino (logo)

Development of a statistical model for truth telling detection

Daniele Reda

Development of a statistical model for truth telling detection.

Rel. Paolo Montuschi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018


Truthfulness detection plays an important role across a wide range of domains and experts have framed heuristics to help themselves understand deception. In such a domain like medical diagnosis, where patients lie to doctors, doctors have learned through experience which are the relevant characteristics to pay attention to, when speaking to patients, in order to understand whether they are being objective and truthful or they are telling untruthful information. In this work, we develop a framework for the creation of a data set for truth-telling recognition and we create a statistical model that, over time, learns characteristics and features correlated to truth-telling for a specific subject. We introduce a new statistical model that takes into account the different factors and specifically, we propose different ways of modeling the heart rate factor and we analyze correlation between physiological factors and lie detection.

Relators: Paolo Montuschi
Academic year: 2017/18
Publication type: Electronic
Number of Pages: 74
Additional Information: Tesi secretata. Full text non presente
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Ente in cotutela: EURECOM - Telecom Paris Tech (FRANCIA)
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/7512
Modify record (reserved for operators) Modify record (reserved for operators)