Detecting Personality Traits Using Eye-Tracking Data

@article{Berkovsky2019DetectingPT,
  title={Detecting Personality Traits Using Eye-Tracking Data},
  author={Shlomo Berkovsky and Ronnie Taib and Irena Koprinska and Eileen Wang and Yucheng Zeng and Jingjie Li and Sabina Kleitman},
  journal={Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems},
  year={2019}
}
Personality is an established domain of research in psychology, and individual differences in various traits are linked to a variety of real-life outcomes and behaviours. Personality detection is an intricate task that typically requires humans to fill out lengthy questionnaires assessing specific personality traits. The outcomes of this, however, may be unreliable or biased if the respondents do not fully understand or are not willing to honestly answer the questions. To this end, we propose a… 

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References

SHOWING 1-10 OF 75 REFERENCES
Eye Movements During Everyday Behavior Predict Personality Traits
TLDR
It is shown that eye movements during an everyday task predict aspects of the authors' personality, and new relations between previously neglected eye movement characteristics and personality are revealed.
Implicit User-centric Personality Recognition Based on Physiological Responses to Emotional Videos
TLDR
Personality differences are better revealed while analyzing responses to emotionally homogeneous responses to affective movie clips, and significantly above-chance recognition is achieved for all five traits.
Inference of personality traits and affect schedule by analysis of spontaneous reactions to affective videos
This paper presents a method for inferring the Positive and Negative Affect Schedule (PANAS) and the BigFive personality traits of 35 participants through the analysis of their implicit responses to
A Survey of Personality Computing
TLDR
A survey of technologies capable of dealing with human personality, and a conceptual model underlying the three main problems addressed in the literature, namely Automatic Personality Recognition, Automatic Personality Perception and Automatic Personality Synthesis.
Private traits and attributes are predictable from digital records of human behavior
We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual
Predicting the Sixteen Personality Factors (16PF) of an individual by analyzing facial features
TLDR
It is shown that there is a significant relationship between the emotions elicited to the analyzed subjects and high prediction accuracy obtained for each of the 16 personality traits as well as notable correlations between distinct sets of AUs present at high-intensity levels and increased personality trait prediction accuracy.
As Far as the Eye Can See: Relationship between Psychopathic Traits and Pupil Response to Affective Stimuli
TLDR
It is suggested that psychopathy within a community sample is not associated with autonomic hypo-responsivity to affective stimuli, and this effect is discussed in relation to later defensive/appetitive mobilisation deficits.
Detecting Faking on a Personality Instrument Using Appropriateness Measurement
Research has demonstrated that people can and often do consciously manipulate scores on personality tests. Test constructors have responded by using social desir ability and lying scales in order to
Predicting Personality from Twitter
TLDR
This paper presents a method by which a user's personality can be accurately predicted through the publicly available information on their Twitter profile, and the implications this has for social media design, interface design, and broader domains.
...
1
2
3
4
5
...