Bo Hu

Bo Hu
  • Ph.D. student at City University of Hong Kong

About

13
Publications
2,153
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
303
Citations
Introduction
Bo Hu is a Ph.D. student in the Department of Media and Communication at City University of Hong Kong. His research interests include human-AI interaction and computer-mediated communication.
Current institution
City University of Hong Kong
Current position
  • Ph.D. student

Publications

Publications (13)
Article
Algorithmic recommendations, characterized by features including accuracy, familiarity, novelty, and transparency, have been used in TikTok for a long time. However, the impact of these features on users’ privacy calculus and continuance usage intention remains unclear. Survey data from 625 Chinese users was analyzed using the least-squares partial...
Article
This study explored the relationships between three types of Internet use (i.e. educational, socialising, and entertainment) and externalising behaviours in early adolescents. Using a representative sample of early adolescents in China (N = 819, Mage = 11.76), the result revealed that the indirect effect of educational Internet use on externalising...
Article
Online trolling behavior is becoming prevalent and has received increasing attention. Although few qualitative studies demonstrated that victims of online trolling are more likely to troll others, quantitative evidence examining such a phenomenon is lacking. Drawing on the general aggression model, this study aimed to investigate how trolling victi...
Article
Instead of telling the whole truth, doctors sometimes resort to prosocial lies when diagnosing illness to protect patients from psychological harm. Recent advances in artificial intelligence (AI) have introduced AI doctors capable of telling prosocial lies in a medical setting. Accordingly, this study conducted a 3 (full truth vs. partial prosocial...
Article
The growing prevalence of conversational artificial intelligence (CAI), digital agents that talk and respond socially to users, has increased the likelihood of over-dependency on this new technology. Drawing on the interaction of person-affect-cognition-execution model, this study examined how social anxiety, loneliness, and rumination contribute t...
Article
Task-oriented chatbots are gradually being used across the globe. Most notably, while chatbots have for a long time penetrated users’ daily lives in mainland China, Hong Kong is still struggling to improve and promote its chatbot services. To determine whether antecedents of satisfaction and usage intention differ based on different stages of chatb...
Article
Full-text available
Objective Based on the heuristic–systematic model (HSM) and health belief model (HBM), this study aims to investigate how personalization and source expertise in responses from a health chatbot influence users’ health belief-related factors (i.e. perceived benefits, self-efficacy and privacy concerns) as well as usage intention. Methods A 2 (perso...
Article
Full-text available
The relationship between exposure to prosocial media content and prosocial behavior has been extensively explored. However, previous studies mainly explore the effect of prosocial media content exposure by comparing an individual’s exposure to the different types of content (i.e., prosocial content or neutral content), and generally focus on tradit...
Article
As mobile payment technology is at a nascent stage, the use of facial recognition payment (FRP) services is gradually penetrating the lives of Chinese people. Although the FRP system may have advantages over other payment technologies, a civil lawsuit over refusing to submit facial information and a series of illegal activities related to selling f...

Network

Cited By