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| Content Provider | PubMed Central |
|---|---|
| Author | Amir, Karniel Avraham, Guy Peles, Bat-chen Shelly, Levy-tzedek Nisky, Ilana |
| Copyright Year | 2010 |
| 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. |
| Related Links | http://dx.doi.org/10.3791/2492 |
| Starting Page | 2492 |
| File Format | |
| ISSN | 1940087X |
| e-ISSN | 1940087X |
| Journal | Journal of Visualized Experiments : JoVE |
| Issue Number | 46 |
| Language | English |
| Publisher | MyJove Corporation |
| Publisher Date | 2010-12-15 |
| Access Restriction | Open |
| Rights Holder | MyJove Corporation |
| Subject Keyword | Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Neuroscience Immunology and Microbiology Biochemistry, Genetics and Molecular Biology Chemical Engineering |
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