title: An estimation of finger-tapping rates and load capacities and the effects of various factors.
abstract: OBJECTIVE
  The aim of this study was to estimate the finger-tapping rates and finger load capacities of eight fingers (excluding thumbs) for a healthy adult population and investigate the effects of various factors on tapping rate.
  
  
  BACKGROUND
  Finger-tapping rate, the total number of finger taps per unit of time, can be used as a design parameter of various products and also as a psychomotor test for evaluating patients with neurologic problems.
  
  
  METHODS
  A 1-min tapping task was performed by 148 participants with maximum volitional tempo for each of eight fingers. For each of the tapping tasks, the participant with the corresponding finger tapped the associated key in the standard position on the home row of a conventional keyboard for touch typing.
  
  
  RESULTS
  The index and middle fingers were the fastest fingers for both hands, and little fingers the slowest. All dominant-hand fingers, except little finger, had higher tapping rates than the fastest finger of the nondominant hand. Tapping rate decreased with age and smokers tapped faster than nonsmokers. Tapping duration and exercise had also significant effect on tapping rate.
  
  
  CONCLUSIONS
  Normative data of tapping rates and load capacities of eight fingers were estimated for the adult population. In designs of psychomotor tests that require the use of tapping rate or finger load capacity data, the effects of finger, age, smoking, and tapping duration need to be taken into account.
  
  
  CONCLUSIONS
  The findings can be used for ergonomic designs requiring finger-tapping capacity and also as a reference in psychomotor tests.
authors: Boğaziçi University, Istanbul, Turkey mahmut.eksioglu@boun.edu.tr.
authors: Mahmut
authors: M
authors: Ekşioğlu
authors: Fatih University, Istanbul, Turkey.
authors: Ali
authors: A
authors: İşeri
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D006804:Ergonomics; D005260:Female; D005385:Fingers / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D011597:Psychomotor Performance / Q000502:physiology*; D055815:Young Adult
keywords: design for human capacity; ergonomics; keyboard layout design; motor control; psychomotor test