mlsanityData to 14 Oct 2026

Read My Mind: A Multi-Modal Dataset for Human Belief Prediction

arXiv 2304.14501 ↗First posted 7 Mar 2023cs.CV cs.AI cs.HCcited by 1

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Abstract (arXiv)

Understanding human intentions is key to enabling effective and efficient human-robot interaction (HRI) in collaborative settings. To enable developments and evaluation of the ability of artificial intelligence (AI) systems to infer human beliefs, we introduce a large-scale multi-modal video dataset for intent prediction based on object-context relations.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 4 of its 8 references that are in the map. First posted on arXiv 7 Mar 2023.

Builds on

4 of 8 references.

References · 4

  1. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,064
  2. 2021A Survey of Embodied AI: From Simulators to Research Taskscited by 261
  3. 2019Gaze360: Physically Unconstrained Gaze Estimation in the Wildcited by 174
  4. 2023A Study of Comfortability between Interactive AI and Humancited by 1

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Citing papers per year: 2023: 1.

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