Documents / Hearing transcript
This is the printed record of a July 29, 1968 symposium on unidentified flying objects held by the Committee on Science and Astronautics of the U.S. House of Representatives, chaired by Rep. J. Edward Roush. The committee heard statements from six scientists: J. Allen Hynek, James E. McDonald, Carl Sagan, Robert L. Hall, James A. Harder and Robert M. L. Baker. It also printed papers from Donald Menzel, Stanton Friedman, Frank Salisbury and others. Hynek argued that puzzling UFO reports from competent witnesses deserve serious scientific study.
“UFO Research Society”10 pages
233 The Use of the Computer in the Design of Recognition Test -Materials and in the Analysis of Results Our sample of only 206 actual UFO cases is really too small and haphazard for the purpose of ensuring that all types of reported shapes are adequately represented in any proposed recognition array. Many descriptive terms that have repeatedly been used ( such as "doughnut," "ring," "mushroom," flattened ball," "double -convex lense," "bullet," "blimp," and "submarine") didn't happen to ap- pear more than once in our particular sample). Ideally, for this work, one would like access to a centralized library of all reasonably documented cases—suitably coded for retrieval via computer. Indeed, at present the scientific study of the UFO problem is greatly hampered by the circumstance that the thousands of reported sightings have not been adequately coded or systematized in any uniform way and are, in fact, still scattered among such diverse and often mutually hostile organizations as the U.S. Air Force, NICAP, APRO, and the University of Colorado Project—not to mention a number of more -or -less private files assem- bled by individual investigators both here and abroad. Recent developments in computer technology—particularly in computer graphics—could be utilized, also, in the construction of arrays of shapes for a recognition test. Thus for any specified shape, the computer (together with suita- ble graphical output equipment) could automatically generate alternative pic- tures of the same object as viewed from any desired angle (e.g., Noll, 1965; Zajac, 1964); and could even generate other test shapes intermediate between that shape and some other specified shape. (In fact, as on-line graphical facilities become more widely available, even a relatively unartistic witness, seated in front of a sui.able display device, should be able to reconstruct his own object by tech- niques of these general sorts.) For the present, however, perhaps the most promising use of the computer in this connection would be in finding an optimum arrangement of the alternativetest shapes in the recognition array. This is a matter of real concern owing to the large number of shapes that should be included. (Even the 63 exhibited in the above figure fall far short of covering all the varieties that have been sketched or described.) If the alternatives could somehow be arranged so that similar shapes are close together, then the witness could quickly narrow down to the most relevant region of the array in order to make his final, most refined discrimi- nations. In order to do this we would first need to obtain some measure of the perceived similarity between any two shapes. One could of course obtain a direct, subjective judgment of similarity from experimental subjects. However, it might be more convenient to obtain a derived measure of similarity hased upon the frequency with which different subjects will sort the two shapes into the same pile, or upon the overlap in their application of the same descriptive terms to the two shapes in the kind of task described in the preceding section (cf., Rosenberg, Nelson, & Vivekananthan, in press). Once we have any such measure of similarity for every pair, we can apply powerful new computer -based methods for mapping the objects into a two-dimensional arrangement in such a way that their similarities are preserved, in so far as possi,ble, in the spatial proximities among them (Kruskal, 1964, Shepard. 1962; Shepard & Carroll, 1966). Moreover, these same methods could yield a quantitative metric of similarity that would then enable us to specify just how similar an object identified by one witness is to the object identified by another witness. Indeed, they could even tell us something about the basic dimensions along which UFO phenomena differ or, with the help of recently perfected methods for "hierarchical clustering" (Johnson, 1967), they could provide an indication of the basically different classes into which these phenomena undoubtedly fall. Possibly, some of these classes of unidentified aerial phenomena will turn out to be of purely natural origin. I once even ventured to suggest this for certain puzzling types of cases myself ( Shepard, 1967b) —though, admittedly, attemptsto develop such explanations in terms of known principles of atmospheric physics, generally, have run into competent and serious criticism (McDonald, 1968). Still. even if some of the phenomena arc of natural origin, a more complete and accuratecharacterization of their appearance and ,behavior should be of some interest to the physical scientist—indeed, all the more so to the extent that they appear toconflict with known physical principles. In any case, it appears that techniques now exist that could provide the basis for a psychologically oriented, but genuinely scientific investigation into uniden- tified aerial phenomena, whatever their nature may ultimately prove to be. 97-818 0-68-16
Hearing transcript, from the govinfo collection. The PDF is mirrored here; the original link is above. 256 pages are in the text index: search them above, or from the library's search.