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Seungcheol Austin Lee

Biographic Data

ID4983706
NAMESeungcheol Austin Lee
GIVEN NAMESSeungcheol Austin
FAMILY NAMELee
SIGNATURELEE S A
AFFILIATIONSNorthern Kentucky University
ORCID0000-0002-3985-2505
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS9
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Mitigating physician communication overload and enhancing patient–provider communication with Large Language Models

    Open Access•Seungcheol Austin Lee•ARTICLE•Review of Communication•2026

    Physician communication overload, driven by high volumes of electronic messages, patient inquiries, and the cognitive effort required to navigate complex information systems, is a significant challenge in modern healthcare. This overload contributes to burnout, reduces the time available for direct patient care, and increases the risk of safety issues. Large Language Models (LLMs) offer promising tools to help alleviate these burdens. This paper …

  • Fear of Autonomous Robots and Artificial Intelligence: Evidence from National Representative Data with Probability Sampling

    Open Access•Yuhua Liang, Seungcheol Austin Lee•ARTICLE•International Journal of Social…•2017

  • The Role of Reciprocity in Verbally Persuasive Robots

    Open Access•Seungcheol Austin Lee, Yuhua Liang et al.•ARTICLE•Cyberpsychology Behavior and…•2016•Cited by: 8•References: 5

    The current research examines the persuasive effects of reciprocity in the context of human-robot interaction. This is an important theoretical and practical extension of persuasive robotics by testing (1) if robots can utilize verbal requests and (2) if robots can utilize persuasive mechanisms (e.g., reciprocity) to gain human compliance. Participants played a trivia game with a robot teammate. The ostensibly autonomous robot helped (or failed t…

  • Reciprocity in Computer–Human Interaction: Source-Based, Norm-Based, and Affect-Based Explanations

    Open Access•Seungcheol Austin Lee, Yuhua Liang et al.•ARTICLE•Cyberpsychology Behavior and…•2015•Cited by: 1•References: 9

    Individuals often apply social rules when they interact with computers, and this is known as the Computers Are Social Actors (CASA) effect. Following previous work, one approach to understand the mechanism responsible for CASA is to utilize computer agents and have the agents attempt to gain human compliance (e.g., completing a pattern recognition task). The current study focuses on three key factors frequently cited to influence traditional noti…

  • The Relationship Between Communication Climate and Elementary Teachers' Beliefs About Alternative Assessment

    Open Access•Seungcheol Austin Lee, Hee Sun Park et al.•ARTICLE•Journal of Pacific Rim Psychology•2011

    Alternative assessment in education is becoming widely implemented around the Pacific region. This study conducted a multilevel analysis of communication climate and beliefs about the effectiveness of alternative assessment. Participants were 662 teachers from 75 elementary schools in Korea. The findings showed that teachers' beliefs about the effectiveness of alternative assessment were positively influenced by their perception of communication …

  • The Role of Reciprocity in Verbally Persuasive Robots

    Open Access•Seungcheol Austin Lee, Yuhua Liang et al.•ARTICLE•Cyberpsychology Behavior and…•2016•Cited by: 8•References: 5

    The current research examines the persuasive effects of reciprocity in the context of human-robot interaction. This is an important theoretical and practical extension of persuasive robotics by testing (1) if robots can utilize verbal requests and (2) if robots can utilize persuasive mechanisms (e.g., reciprocity) to gain human compliance. Participants played a trivia game with a robot teammate. The ostensibly autonomous robot helped (or failed t…

  • Reciprocity in Computer–Human Interaction: Source-Based, Norm-Based, and Affect-Based Explanations

    Open Access•Seungcheol Austin Lee, Yuhua Liang et al.•ARTICLE•Cyberpsychology Behavior and…•2015•Cited by: 1•References: 9

    Individuals often apply social rules when they interact with computers, and this is known as the Computers Are Social Actors (CASA) effect. Following previous work, one approach to understand the mechanism responsible for CASA is to utilize computer agents and have the agents attempt to gain human compliance (e.g., completing a pattern recognition task). The current study focuses on three key factors frequently cited to influence traditional noti…

  • The Relationship Between Communication Climate and Elementary Teachers' Beliefs About Alternative Assessment

    Open Access•Seungcheol Austin Lee, Hee Sun Park et al.•ARTICLE•Journal of Pacific Rim Psychology•2011

    Alternative assessment in education is becoming widely implemented around the Pacific region. This study conducted a multilevel analysis of communication climate and beliefs about the effectiveness of alternative assessment. Participants were 662 teachers from 75 elementary schools in Korea. The findings showed that teachers' beliefs about the effectiveness of alternative assessment were positively influenced by their perception of communication …

  • Reciprocity in Computer–Human Interaction: Source-Based, Norm-Based, and Affect-Based Explanations

    Open Access•Seungcheol Austin Lee, Yuhua Liang et al.•ARTICLE•Cyberpsychology Behavior and…•2015•Cited by: 1•References: 9

    Individuals often apply social rules when they interact with computers, and this is known as the Computers Are Social Actors (CASA) effect. Following previous work, one approach to understand the mechanism responsible for CASA is to utilize computer agents and have the agents attempt to gain human compliance (e.g., completing a pattern recognition task). The current study focuses on three key factors frequently cited to influence traditional noti…

  • The Role of Reciprocity in Verbally Persuasive Robots

    Open Access•Seungcheol Austin Lee, Yuhua Liang et al.•ARTICLE•Cyberpsychology Behavior and…•2016•Cited by: 8•References: 5

    The current research examines the persuasive effects of reciprocity in the context of human-robot interaction. This is an important theoretical and practical extension of persuasive robotics by testing (1) if robots can utilize verbal requests and (2) if robots can utilize persuasive mechanisms (e.g., reciprocity) to gain human compliance. Participants played a trivia game with a robot teammate. The ostensibly autonomous robot helped (or failed t…

  • Fear of Autonomous Robots and Artificial Intelligence: Evidence from National Representative Data with Probability Sampling

    Open Access•Yuhua Liang, Seungcheol Austin Lee•ARTICLE•International Journal of Social…•2017

  • Mitigating physician communication overload and enhancing patient–provider communication with Large Language Models

    Open Access•Seungcheol Austin Lee•ARTICLE•Review of Communication•2026

    Physician communication overload, driven by high volumes of electronic messages, patient inquiries, and the cognitive effort required to navigate complex information systems, is a significant challenge in modern healthcare. This overload contributes to burnout, reduces the time available for direct patient care, and increases the risk of safety issues. Large Language Models (LLMs) offer promising tools to help alleviate these burdens. This paper …

Psychology (4 works) · Computer Science (3 works) · Artificial Intelligence (2 works) · Cognitive psychology (2 works) · Communication (2 works) · Competence (human resources (2 works) · Compliance (psychology (2 works) · Political science (2 works) · Reciprocity (cultural anthropology (2 works) · Robot (2 works)

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