Huiyi Tian
Biographic Data
| ID | 4128858 |
|---|---|
| NAME | Huiyi Tian |
| GIVEN NAMES | Huiyi |
| FAMILY NAME | Tian |
| SIGNATURE | TIAN H |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0002-7527-7691 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Identifying effective timer and proctoring settings for online exam systems
Enhancing citizen experience with anthropomorphic chatbots in public services
Despite the global trend of integrating chatbots in public services, citizens’ overall acceptance of these automated systems has been low since they may lack human touch and user-friendliness. The enhancement of citizen experience in chatbot-enabled public services has been an under researched topic in public administration. This study conducted a controlled experiment based on 2*2 factorial design to elicit and observe citizens’ interaction with…
The serological IgG and neutralizing antibody of Sars-CoV-2 omicron variant reinfection in Jiangsu Province, China
Background It is important to figure out the immunity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) reinfection to understand the response of humans to viruses. A serological survey for previously infected populations in Jiangsu Province was conducted to compare the antibody level of SARS-CoV-2 in reinfection by Omicron or not. Methods Reinfection with SARS-CoV-2 was defined as an individual being infected again after 90 days of…
Mental fatigue and negative emotion among nurses during the Covid-19 pandemic
Influencing Factors and Symbiotic Mechanism of the Integration of Medical Care and Disease Prevention during the Covid-19 Pandemic
Background: The COVID-19 outbreak has accelerated the huge difference between medical care and disease prevention in Chinese medical institutions. This study aimed to investigate the relationship between the symbiotic units, environments, models, and effects of the integration of medical care and disease prevention. Methods: This cross-sectional study involved 762 employees of public hospitals in 11 cities in Zhejiang Province by random stratifie…
No prominent works on this page.
Mental fatigue and negative emotion among nurses during the Covid-19 pandemic
Influencing Factors and Symbiotic Mechanism of the Integration of Medical Care and Disease Prevention during the Covid-19 Pandemic
Background: The COVID-19 outbreak has accelerated the huge difference between medical care and disease prevention in Chinese medical institutions. This study aimed to investigate the relationship between the symbiotic units, environments, models, and effects of the integration of medical care and disease prevention. Methods: This cross-sectional study involved 762 employees of public hospitals in 11 cities in Zhejiang Province by random stratifie…
The serological IgG and neutralizing antibody of Sars-CoV-2 omicron variant reinfection in Jiangsu Province, China
Background It is important to figure out the immunity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) reinfection to understand the response of humans to viruses. A serological survey for previously infected populations in Jiangsu Province was conducted to compare the antibody level of SARS-CoV-2 in reinfection by Omicron or not. Methods Reinfection with SARS-CoV-2 was defined as an individual being infected again after 90 days of…
Identifying effective timer and proctoring settings for online exam systems
Enhancing citizen experience with anthropomorphic chatbots in public services
Despite the global trend of integrating chatbots in public services, citizens’ overall acceptance of these automated systems has been low since they may lack human touch and user-friendliness. The enhancement of citizen experience in chatbot-enabled public services has been an under researched topic in public administration. This study conducted a controlled experiment based on 2*2 factorial design to elicit and observe citizens’ interaction with…
Computer Science (2 works) · Medicine (2 works) · Psychology (2 works) · Academic integrity and plagiarism (1 works) · AI in Service Interactions (1 works) · Antibody (1 works) · Anxiety (1 works) · Artificial Intelligence (1 works) · Avatar (1 works) · Biology (1 works)