Luling Huang
Biographic Data
| ID | 4448882 |
|---|---|
| NAME | Luling Huang |
| GIVEN NAMES | Luling |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG L |
| AFFILIATIONS | Missouri Western State University |
| ORCID | 0000-0003-0139-1771 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
The field of communication is becoming less disruptive: Analyses of citation data over four decades
Innovation is fundamental to knowledge advancement in all realms of scholarship. The current study focuses on 2 forms of innovation in communication, as manifested via citation practices: consolidation and disruption. This study examines whether the field of communication has become consolidative or disruptive over time and projects the near-future trajectory of consolidation and disruption. Based on 92 communication journals and their citation d…
What did you hear and what did you see? Understanding the transparency of facial recognition and speech recognition systems during human–robot interaction
As social robots begin to assume various social roles in society, the demand for understanding how social robots work and communicate grows rapidly. While literature on explainable artificial intelligence suggests that transparency about a social robot’s working mechanism can evoke users’ positive attitudes, transparency may also have negative outcomes. This study investigates the paradoxical effects of the transparency of facial recognition tech…
Deep mind in social responses to technologies: A new approach to explaining the Computers are Social Actors phenomena
Psychological discrepancy in message-induced belief change: Empirical evidence regarding four competing models
Message discrepancy is the difference between the position of an advocated belief in a message and the position of a message receiver’s initial belief, and psychological discrepancy is how the message’s discrepancy is perceived by the receiver. The present study tested Fink et al.’s [(1983). Positional discrepancy, psychological discrepancy, and attitude change: Experimental tests of some mathematical models. Communication Monographs, 50(4), 413–…
What did you hear and what did you see? Understanding the transparency of facial recognition and speech recognition systems during human–robot interaction
As social robots begin to assume various social roles in society, the demand for understanding how social robots work and communicate grows rapidly. While literature on explainable artificial intelligence suggests that transparency about a social robot’s working mechanism can evoke users’ positive attitudes, transparency may also have negative outcomes. This study investigates the paradoxical effects of the transparency of facial recognition tech…
Psychological discrepancy in message-induced belief change: Empirical evidence regarding four competing models
Message discrepancy is the difference between the position of an advocated belief in a message and the position of a message receiver’s initial belief, and psychological discrepancy is how the message’s discrepancy is perceived by the receiver. The present study tested Fink et al.’s [(1983). Positional discrepancy, psychological discrepancy, and attitude change: Experimental tests of some mathematical models. Communication Monographs, 50(4), 413–…
Psychological discrepancy in message-induced belief change: Empirical evidence regarding four competing models
Message discrepancy is the difference between the position of an advocated belief in a message and the position of a message receiver’s initial belief, and psychological discrepancy is how the message’s discrepancy is perceived by the receiver. The present study tested Fink et al.’s [(1983). Positional discrepancy, psychological discrepancy, and attitude change: Experimental tests of some mathematical models. Communication Monographs, 50(4), 413–…
Deep mind in social responses to technologies: A new approach to explaining the Computers are Social Actors phenomena
What did you hear and what did you see? Understanding the transparency of facial recognition and speech recognition systems during human–robot interaction
As social robots begin to assume various social roles in society, the demand for understanding how social robots work and communicate grows rapidly. While literature on explainable artificial intelligence suggests that transparency about a social robot’s working mechanism can evoke users’ positive attitudes, transparency may also have negative outcomes. This study investigates the paradoxical effects of the transparency of facial recognition tech…
The field of communication is becoming less disruptive: Analyses of citation data over four decades
Innovation is fundamental to knowledge advancement in all realms of scholarship. The current study focuses on 2 forms of innovation in communication, as manifested via citation practices: consolidation and disruption. This study examines whether the field of communication has become consolidative or disruptive over time and projects the near-future trajectory of consolidation and disruption. Based on 92 communication journals and their citation d…
Cognitive psychology (3 works) · Psychology (3 works) · AI in Service Interactions (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Social Psychology (2 works) · Behavioral Health and Interventions (1 works) · Citation (1 works) · Citation analysis (1 works) · Cognitive science (1 works)