We are building a new corpus of deceptive and nondeceptive speech, using American English and Mandarin Chinese adult native speakers, to investigate individual and cultural differences in acoustic, prosodic, and lexical cues to deception. Here, we report on the role of personality factors using the NEO-FFI (Neuroticism-Extraversion-Openness Five Factor Inventory), gender, ethnicity and confiden...

Storytelling serves many different social functions, e.g. stories are used to persuade, share troubles, establish shared values, learn social behaviors, and entertain. Moreover, stories are often told conversationally through dialog, and previous work suggests that information provided dialogically is more engaging than when provided in monolog. In this paper, we present algorithms for converti...

OBJECTIVE To test the reliability and applicability of Urdu translation of the International personality disorder examination (IPDE) in a psychiatric outpatient population in Pakistan. METHODS This study was conducted at the outpatient department of Fatima Memorial Hospital Lahore from April 2012 to March 2013. Patients considered to have a personality disorder by a psychiatrist were initiall...

Recognition of personality traits is a well studied problem in psychology while only recently it has been addressed by speech and language technology research. This paper describes annotation and experiments towards automatically inferring speakers personality traits in spontaneous conversations. In the first part, the work describes the annotation framework based on the Big-Five personality tr...

We investigate the value-add of topic modeling in text analysis for depression, and for neuroticism as a strongly associated personality measure. Using Pennebaker’s Linguistic Inquiry and Word Count (LIWC) lexicon to provide baseline features, we show that straightforward topic modeling using Latent Dirichlet Allocation (LDA) yields interpretable, psychologically relevant “themes” that add valu...

Determining an individual’s personality traits is an important concept in Psychology. Although traits are normally assessed through self-report tests, an alternative method would be to computationally analyze an individual’s linguistic markers. Studies in personality trait classification show promising results and look to continuously improve the field by either using new features or by collect...

Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membership functions. These linguistic variables should be optimized at the level of single rules or sets of rules. Assuming the Gaussian uncertainty of input values allows to increase the accuracy of predictions and to estima...

When humans interact with one another, socially intelligent conversational behaviors arise from the interaction of a number of different factors: the conversants’ personality, cultural knowledge, the ability to observe and reason about social relationships, and the ability to project and detect affective cues. For virtual agents to be socially intelligent, they must have an expressive conversat...

Previous work on statistical language generation has primarily focused on grammaticality and naturalness, scoring generation possibilities according to a language model or user feedback. More recent work has investigated data-driven techniques for controlling linguistic style without overgeneration, by reproducing variation dimensions extracted from corpora. Another line of work has produced ha...