Keyi Chen
Biographic Data
| ID | 8585258 |
|---|---|
| NAME | Keyi Chen |
| GIVEN NAMES | Keyi |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN K |
| AFFILIATIONS | Department of Communication, University of Massachusetts |
| ORCID | 0000-0003-3725-9131 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Wind amplification induced by high-rise buildings and identification of local wind-prone neighborhoods using a CFD-machine learning framework
Why do people flee during Chinese Regular Epidemic Prevention and Control? Exploring trust effect in decision-making under risk and uncertainty
Maximizing Group Utilities While Avoiding Conflicts Through Agent Qualifications
Role-based collaboration (RBC) is a role-centered computational approach designed to solve collaboration problems. Group role assignment is an essential and extensive part of this research. Based on group multirole assignment (GMRA), this article addresses some issues in the current research. First, managers often hope to obtain the highest benefits rather than maximizing the team performance, which is emphasized in the traditional RBC research. …
If it is bad, why don’t I quit? Algorithmic recommendation use strategy from folk theories
Users persist in utilizing algorithmic recommendations despite perceiving their adverse consequences, such as privacy invasion and filter bubbles. This behavior appears contradictory to the innate human inclination to seek benefits and avert disadvantages. Employing folk theories, this study conducted in-depth interviews with 24 users who acknowledged the detrimental effects of algorithms and maintained a non-positive attitude toward them but con…
Does the Tourist Appreciate Your Employees? Prioritizing Service Employee Improvements Based on User-Generated Content Mining
While a multitude of opinion mining studies have examined the impact of attribute performance on customer satisfaction, they have offered limited insights into the role performance of service employees by investigating tourists’ experiences. Focusing on the hotel industry, this study investigated tourists’ evaluations of service personnel by scrutinizing 68,439 hotel reviews and explored the asymmetric effects of employee performance on customer …
No prominent works on this page.
If it is bad, why don’t I quit? Algorithmic recommendation use strategy from folk theories
Users persist in utilizing algorithmic recommendations despite perceiving their adverse consequences, such as privacy invasion and filter bubbles. This behavior appears contradictory to the innate human inclination to seek benefits and avert disadvantages. Employing folk theories, this study conducted in-depth interviews with 24 users who acknowledged the detrimental effects of algorithms and maintained a non-positive attitude toward them but con…
Does the Tourist Appreciate Your Employees? Prioritizing Service Employee Improvements Based on User-Generated Content Mining
While a multitude of opinion mining studies have examined the impact of attribute performance on customer satisfaction, they have offered limited insights into the role performance of service employees by investigating tourists’ experiences. Focusing on the hotel industry, this study investigated tourists’ evaluations of service personnel by scrutinizing 68,439 hotel reviews and explored the asymmetric effects of employee performance on customer …
Maximizing Group Utilities While Avoiding Conflicts Through Agent Qualifications
Role-based collaboration (RBC) is a role-centered computational approach designed to solve collaboration problems. Group role assignment is an essential and extensive part of this research. Based on group multirole assignment (GMRA), this article addresses some issues in the current research. First, managers often hope to obtain the highest benefits rather than maximizing the team performance, which is emphasized in the traditional RBC research. …
Wind amplification induced by high-rise buildings and identification of local wind-prone neighborhoods using a CFD-machine learning framework
Why do people flee during Chinese Regular Epidemic Prevention and Control? Exploring trust effect in decision-making under risk and uncertainty
Business (3 works) · Computer Science (3 works) · Advertising (2 works) · Internet privacy (2 works) · Artificial Intelligence (1 work) · Auction Theory and Applications (1 work) · Behavioral Health and Interventions (1 work) · Computer security (1 work) · Customer Service Quality and Loyalty (1 work) · Death Anxiety and Social Exclusion (1 work)