Research output per year
Research output per year
Fingerprint
Dive into the research topics where Human, Artificial Intelligence, and Robot Teaming, Center for (CHART) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Nia Amazeen
- Psychology - Professor
- Human, Artificial Intelligence, and Robot Teaming, Center for (CHART) - Professor
- Sustainability Initiative - Professor
Person
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Ashish Amresh
- Research in Stereo Modeling, Partnership for (PRISM) - Research Scientist
- Software Engineering - Research Scientist
- Advanced Technology Innovation Center (ATIC) - Research Scientist
- Computer Science and Engineering - Research Scientist
- Human, Artificial Intelligence, and Robot Teaming, Center for (CHART) - Research Scientist
- Decision Theater (DT) - Research Scientist
Person
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Spring Berman
- Mechanical and Aerospace Engineering - Associate Professor
- Human, Artificial Intelligence, and Robot Teaming, Center for (CHART) - Associate Professor
- Engineering, Ira A. Fulton Schools of (IAFSE) - Associate Professor
- Knowledge Enterprise (KE) - Associate Professor
- Biomimicry Center, The - Associate Professor
- Electrical Engineering - Associate Professor
Person
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A COGNITIVE PERSPECTIVE ON SUBJECTIVE AND OBJECTIVE DIAGNOSTIC IMAGE QUALITY MODELS
Caviedes, J., Patel, B. K., Gutzwiller, R., Li, B., Bhat, R. & Chhabra, S., 2022, 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings. IEEE Computer Society, p. 246-250 5 p. (Proceedings - International Conference on Image Processing, ICIP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Acquiring Mental Models for Explanations
Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 81-94 14 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Applications
Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 137-146 10 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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CHAT subaward from MIT LL
OTHER: Domestic Non-ABOR University
10/1/22 → 9/30/23
Project: Research project
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SCC-IRG Track 1: Koyungnupta: Smart, Connected, and Culturally-centered System to Support the Well-being of Hopi/Tewa Youth
National Science Foundation (NSF)
10/1/22 → 9/30/26
Project: Research project
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The Spread of Trust and Distrust in Distributed Human-Autonomy Teaming Constellations
DOD-USAF-AFRL: Air Force Office of Scientific Research (AFOSR)
8/1/22 → 9/29/24
Project: Research project
Datasets
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Extending the Cognitive-Affective Theory of Learning with Media in Virtual Reality Learning: A Structural Equation Modeling Approach
Huang, W. (Creator), Roscoe, R. (Creator), Craig, S. (Creator) & Johnson, M. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.c.5733534.v1, https://sage.figshare.com/collections/Extending_the_Cognitive-Affective_Theory_of_Learning_with_Media_in_Virtual_Reality_Learning_A_Structural_Equation_Modeling_Approach/5733534/1
Dataset
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sj-pdf-1-jec-10.1177_07356331211053630 – Supplemental Material for Extending the Cognitive-Affective Theory of Learning with Media in Virtual Reality Learning: A Structural Equation Modeling Approach
Huang, W. (Creator), Roscoe, R. (Creator), Craig, S. (Creator) & Johnson, M. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.17112312.v1, https://sage.figshare.com/articles/journal_contribution/sj-pdf-1-jec-10_1177_07356331211053630_Supplemental_Material_for_Extending_the_Cognitive-Affective_Theory_of_Learning_with_Media_in_Virtual_Reality_Learning_A_Structural_Equation_Modeling_Approach/17112312/1
Dataset