@inproceedings{7cb7678d437f41f4b6a5d2da82440691,
title = "A turing-like handshake test for motor intelligence",
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. This test is limited to the linguistic aspects of machine intelligence. A salient function of the brain is the control of movement, with the human hand movement being 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, artificial, or a linear combination of the two). Instead of asking the interrogator whether the other party is a person or a computer program, we employ a forced-choice method and ask which of two systems is more human-like. By comparing a given model with a weighted sum of human and artificial systems, we fit a psychometric curve to the answers of the interrogator and extract a quantitative measure for the computer model in terms of similarity to the human handshake.",
keywords = "Diagnostics, Discrete, Haptics, Human Machine Interface, Motor Behavior, Motor Control, Perception, Rhythmic, Teleoperation, Turing test",
author = "Amir Karniel and Ilana Nisky and Guy Avraham and Peles, \{Bat Chen\} and Shelly Levy-Tzedek",
year = "2010",
doi = "10.1007/978-3-642-14064-8\_29",
language = "אנגלית",
isbn = "3642140637",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "197--204",
booktitle = "Haptics",
edition = "PART 1",
note = "International Conference on Haptics: Generating and Perceiving Tangible Sensations, EuroHaptics 2010 ; Conference date: 08-07-2010 Through 10-07-2010",
}