Kosa Goucher-Lambert

Assistant Professor

University of California, Berkeley

United States

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Articles (11)

How Being Outvoted by AI Teammates Impacts Human-AI Collaboration

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Year:

2024

Understanding inspiration: Insights into how designers discover inspirational stimuli using an AI-enabled platform

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Year:

2023

Data on human decision, feedback, and confidence during an artificial intelligence-assisted decision-making task

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Year:

2023

ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model

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Year:

2023

The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design

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Year:

2023

Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging

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Year:

2023

Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice

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Year:

2022

Do Human and Computational Evaluations of Similarity Align? An Empirical Study of Product Function

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Year:

2022

Enabling multi-modal search for inspirational design stimuli using deep learning

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Year:

2022

Evaluating Quantitative Measures for Assessing Functional Similarity in Engineering Design

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Year:

2022

Factors Impacting Highly Innovative Designs: Idea Fluency, Timing, and Order

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Year:

2022

Collaborators (2)

Shahroz Khan

University Of Strathclyde

UNITED KINGDOM

Mo Hu

Assistant Professor

Texas A&M University

UNITED STATES

Kosa Goucher-Lambert

Research Interests

Explore related searches

Contact this professor

Articles (11)

How Being Outvoted by AI Teammates Impacts Human-AI Collaboration

Understanding inspiration: Insights into how designers discover inspirational stimuli using an AI-enabled platform

Data on human decision, feedback, and confidence during an artificial intelligence-assisted decision-making task

ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model

The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design

Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging

Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice

Do Human and Computational Evaluations of Similarity Align? An Empirical Study of Product Function

Enabling multi-modal search for inspirational design stimuli using deep learning

Evaluating Quantitative Measures for Assessing Functional Similarity in Engineering Design

Factors Impacting Highly Innovative Designs: Idea Fluency, Timing, and Order

Collaborators (2)

Shahroz Khan

Mo Hu

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