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A literature review of video-sharing platform research in HCI
Video-sharing platforms (VSPs) such as YouTube, TikTok, and Twitch have grown rapidly in
recent years and attracted millions of users. Research topics such as online communities …
recent years and attracted millions of users. Research topics such as online communities …
Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey
A Pandey, DK Vishwakarma - Applied Soft Computing, 2024 - Elsevier
Sentiment analysis is a computational technique that analyses the subjective information
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …
Automated analysis and prediction of job interview performance
We present a computational framework for automatically quantifying verbal and nonverbal
behaviors in the context of job interviews. The proposed framework is trained by analyzing …
behaviors in the context of job interviews. The proposed framework is trained by analyzing …
How vloggers embrace their viewers: Focusing on the roles of para-social interactions and flow experience
CL Hsu - Telematics and Informatics, 2020 - Elsevier
Social media allow marketers to directly influence consumers through a diverse set of tools.
The characteristics of individual platforms enable the development of creative and …
The characteristics of individual platforms enable the development of creative and …
Learning person-specific cognition from facial reactions for automatic personality recognition
This article proposes to recognise the true (self-reported) personality traits from the target
subject's cognition simulated from facial reactions. This approach builds on the following two …
subject's cognition simulated from facial reactions. This approach builds on the following two …
First impressions: A survey on vision-based apparent personality trait analysis
Personality analysis has been widely studied in psychology, neuropsychology, and signal
processing fields, among others. From the past few years, it also became an attractive …
processing fields, among others. From the past few years, it also became an attractive …
Self-supervised learning of person-specific facial dynamics for automatic personality recognition
This article aims to solve two important issues that frequently occur in existing automatic
personality analysis systems: 1. Attempting to use very short video segments or even single …
personality analysis systems: 1. Attempting to use very short video segments or even single …
Deep impression: Audiovisual deep residual networks for multimodal apparent personality trait recognition
Here, we develop an audiovisual deep residual network for multimodal apparent personality
trait recognition. The network is trained end-to-end for predicting the Big Five personality …
trait recognition. The network is trained end-to-end for predicting the Big Five personality …
Personality recognition by modelling person-specific cognitive processes using graph representation
Recent research shows that in dyadic and group interactions individuals' nonverbal
behaviours are influenced by the behaviours of their conversational partner (s). Therefore, in …
behaviours are influenced by the behaviours of their conversational partner (s). Therefore, in …
Deep personality trait recognition: a survey
X Zhao, Z Tang, S Zhang - Frontiers in psychology, 2022 - frontiersin.org
Automatic personality trait recognition has attracted increasing interest in psychology,
neuropsychology, and computer science, etc. Motivated by the great success of deep …
neuropsychology, and computer science, etc. Motivated by the great success of deep …