Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions

Graphology is a technique for analyzing an individual’s personality based on the given sample of their handwriting. Graphology considers the fact that the movement of our hand is directly related to the state of our brain. This paper implements the techniques of graphology using machine learning. The pre-defined data about the analysis of handwriting is given as learning data set for the machine. An image of a handwritten text document in jpg format is given as input to this machine. The processed output gives the personality of the individual corresponding to the input handwriting.

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Multimodal BigFive Personality Trait Analysis Using Communication Skill Indices and Multiple Discussion Types Dataset

Social Computing and Social Media. Design, Human Behavior and Analytics - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21902-4_27 ◽

2019 ◽

pp. 370-383

Author(s):

Candy Olivia Mawalim ◽

Shogo Okada ◽

Yukiko I. Nakano ◽

Masashi Unoki

Keyword(s):

Personality Trait ◽

Communication Skill ◽

Trait Analysis

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Impact of the Locus of Causality and Internal Control on the Social Utility of Causal Explanations

Swiss Journal of Psychology ◽

10.1024/1421-0185/a000020 ◽

2010 ◽

Vol 69 (3) ◽

pp. 173-179 ◽

Cited By ~ 12

Author(s):

Samantha Perrin ◽

Benoît Testé

Keyword(s):

Internal Control ◽

Three Dimensions ◽

Social Utility ◽

External Control ◽

Job Interview ◽

Locus Of Causality ◽

Causal Explanations ◽

Professional Success ◽

The Social ◽

Different Types

Research into the norm of internality ( Beauvois & Dubois, 1988 ) has shown that the expression of internal causal explanations is socially valued in social judgment. However, the value attributed to different types of internal explanations (e.g., efforts vs. traits) is far from homogeneous. This study used the Weiner (1979 ) tridimensional model to clarify the factors explaining the social utility attached to internal versus external explanations. Three dimensions were manipulated: locus of causality, controllability, and stability. Participants (N = 180 students) read the explanations expressed by appliants during a job interview. They then described the applicants on the French version of the revised causal dimension scale and rated their future professional success. Results indicated that internal-controllable explanations were the most valued. In addition, perceived internal and external control of explanations were significant predictors of judgments.

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The Vienna Risk-Taking Test - Traffic

Journal of Individual Differences ◽

10.1027/1614-0001.28.4.198 ◽

2007 ◽

Vol 28 (4) ◽

pp. 198-204 ◽

Cited By ~ 11

Author(s):

Andreas Hergovich ◽

Martin E. Arendasy ◽

Markus Sommer ◽

Bettina Bognar

Keyword(s):

Construct Validity ◽

Personality Trait ◽

Risk Taking ◽

Personality Test ◽

Educational Levels ◽

Item Level ◽

Degree Of Risk ◽

And Gender ◽

Homeostasis Theory

Abstract. The study reports results regarding the dimensionality and construct validity of a newly developed, objective, video-based personality test that assesses the willingness to take risks in traffic situations. On the basis of the theory of risk homeostasis developed by Wilde, different traffic situations with varying degrees of objective danger were filmed. During the test the respondents are asked to indicate at which point the action that is contingent on the described situation will become too dangerous to carry out. Latencies at the item level were recorded as a measure for the subjectively accepted degree of a person's willingness to take risks in the sense of the risk homeostasis theory by Wilde. In a study on 274 people with different educational levels and gender, the unidimensionality of the test as corresponding to the latency model by Scheiblechner was investigated. The results indicate that the Vienna Risk-Taking Test - Traffic assesses a unidimensional, latent personality trait that can be interpreted as subjectively accepted degree of risk (target risk value).

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