Recent trends in deep learning based personality detection
Recently, the automatic prediction of personality traits has received a lot of attention.
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …
Specifically, personality trait prediction from multimodal data has emerged as a hot topic …
Using smartphones to collect behavioral data in psychological science: Opportunities, practical considerations, and challenges
Smartphones now offer the promise of collecting behavioral data unobtrusively, in situ, as it
unfolds in the course of daily life. Data can be collected from the onboard sensors and other …
unfolds in the course of daily life. Data can be collected from the onboard sensors and other …
Emotion recognition using wireless signals
This paper demonstrates a new technology that can infer a person's emotions from RF
signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections …
signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections …
Using machine learning to advance personality assessment and theory
W Bleidorn, CJ Hopwood - Personality and Social …, 2019 - journals.sagepub.com
Machine learning has led to important advances in society. One of the most exciting
applications of machine learning in psychological science has been the development of …
applications of machine learning in psychological science has been the development of …
Stress recognition using wearable sensors and mobile phones
In this study, we aim to find physiological or behavioral markers for stress. We collected 5
days of data for 18 participants: a wrist sensor (accelerometer and skin conductance) …
days of data for 18 participants: a wrist sensor (accelerometer and skin conductance) …
A survey of personality computing
A Vinciarelli, G Mohammadi - IEEE Transactions on Affective …, 2014 - ieeexplore.ieee.org
Personality is a psychological construct aimed at explaining the wide variety of human
behaviors in terms of a few, stable and measurable individual characteristics. In this respect …
behaviors in terms of a few, stable and measurable individual characteristics. In this respect …
Smartphone sensing methods for studying behavior in everyday life
Highlights•Smartphone Sensing Methods (SSMs) permit continuous and real-time
behavioral observation in the context of people's daily lives.•SSMs provide objective …
behavioral observation in the context of people's daily lives.•SSMs provide objective …
Moodscope: Building a mood sensor from smartphone usage patterns
We report a first-of-its-kind smartphone software system, MoodScope, which infers the mood
of its user based on how the smartphone is used. Compared to smartphone sensors that …
of its user based on how the smartphone is used. Compared to smartphone sensors that …
Measuring large-scale social networks with high resolution
This paper describes the deployment of a large-scale study designed to measure human
interactions across a variety of communication channels, with high temporal resolution and …
interactions across a variety of communication channels, with high temporal resolution and …
Effects of gender and personality differences on students' perception of game design elements in educational gamification
While many studies have reported the effectiveness of gamification in motivating students
and making learning more fun, some others have reported contradictory findings regarding …
and making learning more fun, some others have reported contradictory findings regarding …