[Table of Content] [Appendices] [Abstract] [Summary] [Chapter 1] [Chapter 2] [Chapter 3] [Chapter 4] [Chapter 5] [Chapter 6]

Human Performance in Six Degree of Freedom Input Control

Shumin Zhai, Ph.D.


Chapter 2.8: [Data Transformation] [General Results] [Performance in Early Experimental Phase] [Performance in Final Phase of Experiment] [Ease of Use] [Fatigue] [Subjective Preference] [Interaction between Resistance and Transfer Function]

2.8 Experiment 1 Results

2.8.1 Data Transformation


(a)


(b)

Figure 2.8 Residual distributions before (a) and after (b) log transformation in Experiment 1 data.

In the following data analysis, statistical model residuals were first analysed and it was found that the residual distribution was skewed towards lower scores (Figure 2.8a). This is typical when completion time is used as performance measure. Log transformation was then imposed, in order to meet the residual distribution requirement for analysis of variance (ANOVA) (Howell, 1992) . Figure 2.8 (a) and (b) show the residual distribution before and after the log transformation. The same procedure and treatment were carried out for the subsequent experiments in the following chapters; however, for the sake of brevity, the residual plots are not shown further. For ease of comprehension, all figures that illustrate results will still be drawn according to the original, untransformed scale.

2.8.2 General Results

Figure 2.9 displays the means and standard errors of each control technique over the four phases of the experiment. The detailed results of a repeated measure analysis of the entire data set are summarised in Table A3.1.1 in Appendix 3. The performance difference caused by different techniques was statistically significant: F(3, 21) = 40.18, P < 0.0001. In addition, subjects' performances improved significantly with practice: F(3, 21) = 54.6, P< 0.0001. No other independent variable or interactions between the variables were statistically significant (p>0.05).

The ranks of the four techniques, as measured by average completion time over all four phases, was as follows: isotonic position (6.71 sec), isometric rate (6.97 sec), isotonic rate (10.55 sec), and isometric position (16.93 sec). Statistical comparisons between the four techniques, as summarised in Table A3.1.2 in Appendix 3, shows that the performance differences between every pair of techniques were statistically significant, except the difference between the isotonic position and the isometric rate mode.


Figure 2.9 General results of Experiment 1

2.8.3 Performance in Early Experiment Phase

Whereas the preceding section analysed the overall performances of the four techniques over all four phases of the experiment, the present section focuses on the initial test. Repeated measure variance analysis (Table A3.1.3 in Appendix 3) showed that the major conclusion drawn from Test 1 was the same as that drawn from the overall data: Technique resulted in a significant performance difference. Pairwise comparisons between conditions (Table A3.1.4 in Appendix 3) showed that all pairs were significantly different from each other, except the isotonic position versus the isometric rate (See also Figure 2.9). The mean values of these two techniques were 7.68 and 9.07 seconds respectively, i.e. the isotonic position mode produced shorter mean completion times than the isometric rate control in phase I (after 10 minutes of practice). However, this difference was not statistically significant (F(1,7) = 0.654, p = 0.43), possibly due to the relatively small number of degrees of freedom in the repeated measure analysis. Repeated measure analysis is a conservative test, in which subject and effect interactions are used as error terms.

When a full factorial analysis was used, the difference between the isotonic position and the isometric rate mode was detected as statistically significant (Fisher's Protected LSD post-hoc test: p < 0.01). Full factorial analysis, using Subjects as one of the factors and using model residual as error term, is much more sensitive. The implications of full factorial analysis and repeated measure analysis are different, however. Factorial analysis computes the probability that the differences between means are caused by chance, as reflected by model "residual" after removing all the variance caused by all other independent variables and their interactions, including subjects (individual differences). Repeated measure analysis, on the other hand, does not remove all the variance caused by individual differences and other factors from its error term. The results of repeated measure analysis are therefore more generalisable to larger populations of users.

2.8.4 Performance in Final Phase of Experiment

Figure 2.10 shows the results for Test 4, which took place after the subjects had had 40 minutes of intensive practice. Repeated measure analysis of variance (Table A3.1.5 in Appendix 3) showed that technique was still a statistically significant factor. Pairwise comparison showed that the difference between every pair of techniques was significant, except the isotonic position vs. the isometric rate (Table A3.1.6 in Appendix 3).

Figure 2.10 Individual subject results for Test 4 of Experiment 1

2.8.5 Ease of Use

After the entire experiment was over, subjects were asked to rate each of the techniques according to "Ease of Use", "Fatigue" and "Overall Preference"*. Figure 2.11 summarises the subjective ratings on ease of use. The isotonic position mode and the isometric rate mode received higher average ratings than the other two modes. Technique caused a statistically significant difference on these ratings: F(3, 21) = 12.9, P <0.0001. Fisher's Protected LSD post-hoc test (Table A3.1.7 in Appendix 3) showed that the difference between every pair of techniques was significant, except the isotonic position and the isometric rate mode. Note that the results were based on data collected after 40 minutes of practice with each mode. It was observed that users usually found isometric rate control more difficult to use than isotonic position control at their very initial stage of experiment.

Figure 2.11 Subjective ratings of ease of use in Experiment 1

2.8.6 Fatigue

Figure 2.12 Subjective ratings of fatigue in Experiment 1

Figure 2.12 summarises the subjective ratings of fatigue. Technique caused a statistically significant difference on the ratings on fatigue: F(3, 21) = 10.9, P = 0.0002. Fisher's Protected LSD post-hoc test (Table A3.1.8, Appendix 3) showed that the differences between every pair of techniques were significant, except the isotonic position and the isotonic rate mode.

The isometric position technique was felt to be the most fatiguing and the isometric rate technique the least fatiguing. It is important to note that the isotonic position technique was significantly more fatiguing than the isometric rate technique, even though it produced scores similar to the isometric rate control on some other measures (e.g. ease of use and time performance). This is due to the fact that with isotonic sensing users have to perform unsupported hand movements.

2.8.7 Subjective Preference

Overall, users preferred the isotonic position control and the isometric rate to the other two techniques. A significant difference in preference ratings existed between techniques: F(3, 21) = 19.3, P < 0.0001. Fisher's Protected LSD post-hoc test (Table A3.1.9, Appendix 3) showed that the differences between every pair of techniques were significant, except for the isotonic position versus isometric rate mode comparison. Users' overall subjective preferences were very similar to the result from time performance measurement .

Figure 2.13 Overall subjective preference in Experiment 1Figure 2.13 Overall subjective preference in Experiment 1

2.8.8 Interaction between Resistance and Transfer Function

Figure 2.14 illustrates one of the most important results from this experiment. A strong interaction was found between the transfer function and the resistance of the control techniques by a repeated measure variance analysis ( Table A3.1.10, Appendix 3). Even though both resistance (F(1,7) = 8.6, p < 0.05) and transfer function (F(1,7) = 12.8 p < 0.01) significantly affected completion time, the interaction between these two variables was much more significant (F(1,7) = 182.4, P < 0.0001), suggesting that simply to compare resistance (isometric versus isotonic) or transfer function (position versus rate control), as was found in some of the literature reviewed, is misleading. This important conclusion is illustrated further in Figure 2.15, which is a revised version of Figure 2.14 plotted in 3D.

Figure 2.14 Interaction between resistance and transfer function (2D plot)

Figure 2.15 Interaction pattern between resistance and transfer function (3D plot)