One dimensional Turing-like handshake test for motor intelligence

Amir Karniel, Guy Avraham, Bat Chen Peles, Shelly Levy-Tzedek, Ilana Nisky

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

In the Turing test, a computer model is deemed to "think intelligently" if it can generate answers that are not distinguishable from those of a human. However, this test is limited to the linguistic aspects of machine intelligence. A salient function of the brain is the control of movement, and the movement of the human hand is a sophisticated demonstration of this function. Therefore, we propose a Turing-like handshake test, for machine motor intelligence. We administer the test through a telerobotic system in which the interrogator is engaged in a task of holding a robotic stylus and interacting with another party (human or artificial). Instead of asking the interrogator whether the other party is a person or a computer program, we employ a two-alternative forced choice method and ask which of two systems is more human-like. We extract a quantitative grade for each model according to its resemblance to the human handshake motion and name it "Model Human-Likeness Grade" (MHLG). We present three methods to estimate the MHLG. (i) By calculating the proportion of subjects' answers that the model is more human-like than the human; (ii) By comparing two weighted sums of human and model handshakes we fit a psychometric curve and extract the point of subjective equality (PSE); (iii) By comparing a given model with a weighted sum of human and random signal, we fit a psychometric curve to the answers of the interrogator and extract the PSE for the weight of the human in the weighted sum. Altogether, we provide a protocol to test computational models of the human handshake. We believe that building a model is a necessary step in understanding any phenomenon and, in this case, in understanding the neural mechanisms responsible for the generation of the human handshake.

Original languageEnglish
Article numbere2492
JournalJournal of Visualized Experiments
Issue number46
DOIs
StatePublished - 1 Jan 2010

Keywords

  • Diagnostics
  • Handshake
  • Haptics
  • Human Machine Interface
  • Issue 46
  • Motor Behavior
  • Motor Control
  • Neuroscience
  • Perception
  • Teleoperation
  • Telepresence
  • Turing test

ASJC Scopus subject areas

  • Neuroscience (all)
  • Chemical Engineering (all)
  • Biochemistry, Genetics and Molecular Biology (all)
  • Immunology and Microbiology (all)

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