Beau G Schelble
Biographic Data
| ID | 7594652 |
|---|---|
| NAME | Beau G Schelble |
| GIVEN NAMES | Beau G |
| FAMILY NAME | Schelble |
| SIGNATURE | SCHELBLE B G |
| AFFILIATIONS | Clemson University |
| ORCID | 0000-0003-3704-697X |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Modeling perceived information needs in human-AI teams: Improving AI teammate utility and driving team cognition
As AI technologies advance, teams are beginning to see AI transition from a tool to a full-fledged teammate. Introducing an AI teammate brings several challenges, ranging from how human teammates perceive their new AI teammates from an affective standpoint to how AI should engage in the various teaming behaviors that make up effective teamwork. The current study used a mixed factorial survey and structural equation modeling to assess how particip…
What you say vs what you do: Utilizing positive emotional expressions to relay AI teammate intent within human–AI teams
Examining the impact of varying levels of AI teammate influence on human-AI teams
Adapt and overcome: Perceptions of adaptive autonomous agents for human-AI teaming
Understanding the impact and design of AI teammate etiquette
Technical and practical advancements in Artificial Intelligence (AI) have led to AI teammates working alongside humans in an area known as human-agent teaming. While critical past research has shown the benefit to trust driven by the incorporation of interaction rules and structures (i.e. etiquette) in both AI tools and robotic teammates, research has yet to explicitly examine etiquette for digital AI teammates. Given the historic importance of t…
Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature
OBJECTIVE: We define human-autonomy teaming and offer a synthesis of the existing empirical research on the topic. Specifically, we identify the research environments, dependent variables, themes representing the key findings, and critical future research directions. BACKGROUND: Whereas a burgeoning literature on high-performance teamwork identifies the factors critical to success, much less is known about how human-autonomy teams (HATs) achieve …
What Happens When Humans Believe Their Teammate is an AI? An Investigation into Humans Teaming with Autonomy
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What Happens When Humans Believe Their Teammate is an AI? An Investigation into Humans Teaming with Autonomy
Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature
OBJECTIVE: We define human-autonomy teaming and offer a synthesis of the existing empirical research on the topic. Specifically, we identify the research environments, dependent variables, themes representing the key findings, and critical future research directions. BACKGROUND: Whereas a burgeoning literature on high-performance teamwork identifies the factors critical to success, much less is known about how human-autonomy teams (HATs) achieve …
Examining the impact of varying levels of AI teammate influence on human-AI teams
Adapt and overcome: Perceptions of adaptive autonomous agents for human-AI teaming
Understanding the impact and design of AI teammate etiquette
Technical and practical advancements in Artificial Intelligence (AI) have led to AI teammates working alongside humans in an area known as human-agent teaming. While critical past research has shown the benefit to trust driven by the incorporation of interaction rules and structures (i.e. etiquette) in both AI tools and robotic teammates, research has yet to explicitly examine etiquette for digital AI teammates. Given the historic importance of t…
What you say vs what you do: Utilizing positive emotional expressions to relay AI teammate intent within human–AI teams
Modeling perceived information needs in human-AI teams: Improving AI teammate utility and driving team cognition
As AI technologies advance, teams are beginning to see AI transition from a tool to a full-fledged teammate. Introducing an AI teammate brings several challenges, ranging from how human teammates perceive their new AI teammates from an affective standpoint to how AI should engage in the various teaming behaviors that make up effective teamwork. The current study used a mixed factorial survey and structural equation modeling to assess how particip…
Computer Science (7 works) · Human-Automation Interaction and Safety (7 works) · Psychology (7 works) · Knowledge management (6 works) · Team Dynamics and Performance (5 works) · Ethics and Social Impacts of AI (4 works) · Applied Psychology (3 works) · Artificial Intelligence (3 works) · Autonomy (3 works) · Management (3 works)