Cognition and Tool Use: Forms of Engagement in Human and Animal Use of Tools

By Chris Baber. 2003

107 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/11f4e49baec7493b21ab0fd1a13aa9033ca35a1b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Song-Chun Zhu
2. Luc Van Gool
3. Li Fei-Fei
4. Jitendra Malik
5. Trevor Darrell
6. Alan L. Yuille
7. Dacheng Tao
8. Andrea Vedaldi

In Control and Systems Engineering

1. Yuke Zhu
2. Silvio Savarese
3. Li Fei-Fei
4. Ying Nian Wu
5. Thomas E. Horton
6. Kuan Fang
7. Song-Chun Zhu
8. Siyuan Huang

In Human-Computer Interaction

1. Thomas E. Horton
2. Song-Chun Zhu
3. Silvio Savarese
4. Robert St. Amant
5. Josh Tenenbaum
6. Ying Nian Wu
7. Li Fei-Fei

Citations in the corpus

• KETO: Learning Keypoint Representations for Tool Manipulation (2019, background): “intelligence in cognitive science studies [4], [3], [42], [19].”
• Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (2020, background): “‘‘Container” is ubiquitous in daily life and is considered a halftool [270].”
• Revisiting the definition of animal tool use (2008, methodology): “Insights from past research on animal tool use have already influenced the study of the evolution of cognition (Sterelny 2003), human neuropsychology (Maravita & Iriki 2004), human factors and humanecomputer interaction (Baber 2003), robotics (St Amant & Wood 2005; Stoytchev 2005) and philosophy of ”