Kenneth Kotovsky
Datos Biográficos
| ID | 9568873 |
|---|---|
| NOMBRE | Kenneth Kotovsky |
| NOMBRES | Kenneth |
| APELLIDO | Kotovsky |
| FIRMA | KOTOVSKY K |
| AFILIACIONES | Carnegie Mellon University |
| ORCID | 0000-0001-7199-9403 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2021 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 0 |
Trust in an AI versus a Human teammate
Recent advances in artificial intelligence (AI) enable researchers to create more powerful AI agents that are becoming competent teammates for humans. However, human distrust of AI is a critical factor that may impede human-AI cooperation. Although AI agents have been endowed with anthropomorphic traits, such as a human-like appearance, in prior studies to improve human trust in AI, it is still an open question whether humans have more trust in a…
Determinants of creative thinking
Creative problem solving is often conceptualised as a process of search. However, little is known about the difficulties of carrying out this search process. We conducted three studies examining how strongly different task characteristics impact creative problem-solving performance. In Study 1, regression analyses on normative data of Remote Associates Test (RAT) problems identified key task characteristics that best predict performance. We repli…
Human confidence in artificial intelligence and in themselves
Artificial intelligence (AI) has shown its promise in assisting human decision-making. However, humans' inappropriate decision to accept or reject suggestions from AI can lead to severe consequences in high-stakes AI-assisted decision-making scenarios. This problem persists due to insufficient understanding of human trust in AI. Therefore, this research studies how two types of human confidence that affect trust, their confidence in AI and confid…
A strategic decision-making architecture toward hybrid teams for dynamic competitive problems
Advances in artificial intelligence create new opportunities for computers to support humans as peers in hybrid teams in several complex problem-solving situations. This paper proposes a decision-making architecture for adaptively informing decisions in human-computer collaboration for large-scale competitive problems under dynamic environments. The proposed architecture integrates methods from sequence learning, model predictive control, and gam…
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A strategic decision-making architecture toward hybrid teams for dynamic competitive problems
Advances in artificial intelligence create new opportunities for computers to support humans as peers in hybrid teams in several complex problem-solving situations. This paper proposes a decision-making architecture for adaptively informing decisions in human-computer collaboration for large-scale competitive problems under dynamic environments. The proposed architecture integrates methods from sequence learning, model predictive control, and gam…
Determinants of creative thinking
Creative problem solving is often conceptualised as a process of search. However, little is known about the difficulties of carrying out this search process. We conducted three studies examining how strongly different task characteristics impact creative problem-solving performance. In Study 1, regression analyses on normative data of Remote Associates Test (RAT) problems identified key task characteristics that best predict performance. We repli…
Human confidence in artificial intelligence and in themselves
Artificial intelligence (AI) has shown its promise in assisting human decision-making. However, humans' inappropriate decision to accept or reject suggestions from AI can lead to severe consequences in high-stakes AI-assisted decision-making scenarios. This problem persists due to insufficient understanding of human trust in AI. Therefore, this research studies how two types of human confidence that affect trust, their confidence in AI and confid…
Trust in an AI versus a Human teammate
Recent advances in artificial intelligence (AI) enable researchers to create more powerful AI agents that are becoming competent teammates for humans. However, human distrust of AI is a critical factor that may impede human-AI cooperation. Although AI agents have been endowed with anthropomorphic traits, such as a human-like appearance, in prior studies to improve human trust in AI, it is still an open question whether humans have more trust in a…
Computer Science (4 obras) · Psychology (3 obras) · Artificial Intelligence (2 obras) · Epistemology (2 obras) · Ethics and Social Impacts of AI (2 obras) · Human-Automation Interaction and Safety (2 obras) · Social Psychology (2 obras) · Aesthetics (1 obra) · AI in Service Interactions (1 obra) · AI-based Problem Solving and Planning (1 obra)