“The key aspect of this work is not the extent of the studies – using hundreds of participants for one specific protocol – but the combination of three experimental protocols coupled with small user groups.” One of my ‘A History of HCI in 15 Papers’
Paul M Fitts seminal work “The information capacity of the human motor system in controlling the amplitude of movement” [1]does exactly what a good human factors paper should. This kind of clarity in both the experimental work, and its dissemination, is what we should still be aiming for today some 60 years later. In his work Fitts performs three supporting experiments each using between 16 and 20 people to arrive at the understanding that performance of the task uniformly improved as the movement needed was decreased and the target area is increased. Fitts puts it as:
The rate of performance of all the tasks studied increased uniformly as movement amplitude was decreased and as tolerance limits were extended.
Fitts’ experiments comprised of reciprocally tapping using a stylus, transferring discs from one spindle to another, and transferring pins from one set of holes to a different set of holes. From the results reciprocal tapping was found to be the easiest while disk transfer was the most difficult.
The key aspect of this work is not the extent of the studies – using hundreds of participants for one specific protocol – but the combination of three experimental protocols coupled with small user groups. Each protocol produces results which will support the findings of the others – that performance increases when the required movement decreases and the tolerance allowed increases. The fact that three small studies with three separate methodologies and protocols produce similar results is key to understanding that there is an ecologically valid real world system at work with practical significance in regard to movement and control. This means that Fitts can derive a mathematical algorithm which represents the system to a very accurate level which enables human factors specialists today to make predictions about eye-hand coordination with regard to the movement of pointing devices and other motor based input systems.
References
- Fitts, P. (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47 (6), 381-391 DOI: 10.1037/h0055392
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