Nowadays, with the rapid development of the Internet, the number of Internet users has been increasing rapidly. Individual multimodal network digital traces including video, voice and public discourses could be recorded and obtained efficiently and conveniently. Human-Media Interaction (HMI) generated behavior and contents can be digitally recorded and saved as big data, which provides an idea platform to understand the interaction in view of psychology. Much research has been conducted to investigate how psychological factors affect and are affected by the interaction based on HMI generated data. Using artificial intelligence technology can mine the correlation mode between behavior/contents and psychology in a data-driven way. It can further expand the space-time boundary of psychological research, such as intelligent psychological assessment, large-scale and longitudinal psychological change analysis and tracking, the interaction and affect analysis between psychological factors and behavior/contents, etc.
This Research Topic aims to provide an interdisciplinary view on psychology and HMI, to investigate the quantitative correlation mode between HMI Generated data and users’ psychology, explore the differential performance in Human-Media Interaction (HMI) between users with different psychological characteristics, and further explore how the psychological factors and media affect HMI.
The topics of interest include but are not limited to:
- Analysis of differences in HMI generated behavior and contents between different countries
- Psycholinguistic analysis on legacy and contemporary content
- Psychological analysis on verbal and nonverbal interaction behavior
- Analyze the psychological status and characteristics of users of social media platform
- Intelligent psychology assessment technology based on HMI generated behavior and contents analysis
This Research Topic of Human-Media Interaction in the journal of Frontiers in Psychology seeks commentaries, original research, short reports, and reviews on Psychology and HMI, especially empirical research.
Nowadays, with the rapid development of the Internet, the number of Internet users has been increasing rapidly. Individual multimodal network digital traces including video, voice and public discourses could be recorded and obtained efficiently and conveniently. Human-Media Interaction (HMI) generated behavior and contents can be digitally recorded and saved as big data, which provides an idea platform to understand the interaction in view of psychology. Much research has been conducted to investigate how psychological factors affect and are affected by the interaction based on HMI generated data. Using artificial intelligence technology can mine the correlation mode between behavior/contents and psychology in a data-driven way. It can further expand the space-time boundary of psychological research, such as intelligent psychological assessment, large-scale and longitudinal psychological change analysis and tracking, the interaction and affect analysis between psychological factors and behavior/contents, etc.
This Research Topic aims to provide an interdisciplinary view on psychology and HMI, to investigate the quantitative correlation mode between HMI Generated data and users’ psychology, explore the differential performance in Human-Media Interaction (HMI) between users with different psychological characteristics, and further explore how the psychological factors and media affect HMI.
The topics of interest include but are not limited to:
- Analysis of differences in HMI generated behavior and contents between different countries
- Psycholinguistic analysis on legacy and contemporary content
- Psychological analysis on verbal and nonverbal interaction behavior
- Analyze the psychological status and characteristics of users of social media platform
- Intelligent psychology assessment technology based on HMI generated behavior and contents analysis
This Research Topic of Human-Media Interaction in the journal of Frontiers in Psychology seeks commentaries, original research, short reports, and reviews on Psychology and HMI, especially empirical research.