Searching for letters or closed shapes in simulated electronic displays.

16 men counted the number of bright symbols of a particular kind in a simulated electronic display presenting a total of between 19 and 59 symbols of 8 different kinds. In some displays all the symbols were bright, in others bright and dim symbols were mixed. 4 sets of 8 symbols were compared. Targe...

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Detalles Bibliográficos
Publicado en:Journal of Applied Psychology Vol. 52; no. 5; pp. 348 - 357
Autor principal: Poulton, E. C.
Formato: Journal Article
Publicado: American Psychological Association Oct68
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Searching for letters or closed shapes in simulated electronic displays.
      aug:
        au: Poulton, E. C.
        affil: Applied Psychology Research Unit, Cambridge, England.
      su:
        Information display systems
        Letters
        Signs & symbols
        Cathode ray tubes
        Computer input-output equipment
        Applied psychology
        Analysis of variance
        Discrimination (Sociology)
        Electronics
        Light
        Sensory perception
      sug:
        subj:
          Information display systems
          Letters
          Signs & symbols
          Cathode ray tubes
          Computer input-output equipment
          Applied psychology
          Analysis of variance
          Discrimination (Sociology)
          Electronics
          Light
          Sensory perception
      ab: 16 men counted the number of bright symbols of a particular kind in a simulated electronic display presenting a total of between 19 and 59 symbols of 8 different kinds. In some displays all the symbols were bright, in others bright and dim symbols were mixed. 4 sets of 8 symbols were compared. Targets were missed less often from sets of capital letters than from sets of closed shapes (p < .01) thus the letters were the more easily discriminated from each other. The probability of missing at least 1 target increased approximately linearly with the number of targets present (p < .01). The rate of increase was approximately proportional to the total number of bright symbols displayed, and was somewhat greater when dim symbols were present also (p < .05). For a combined total of 57-59 bright and dim symbols, the probability of missing at least 1 target increased from about .03 per target when 10 of the symbols were bright, to .09 when 26 were bright. 35% of the underestimations were of size 2 or greater. The time taken to count the targets increased with the total number of bright symbols present (p < .01). Dim symbols tended to be counted as bright (p < .01).
      pubtype: Academic Journal
      doctype: Journal Article
      src: R
    language: English
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          year: 1968
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