User Fatigue Reduction by an Absolute Rating Data-trained Predictor in IEC

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Wang, S.F., Wang, S., Takagi, H.: User Fatigue Reduction by an Absolute Rating Data-trained Predictor in IEC. In: Proc. IEEE Congress on Evolutionary Computation, pp. 2195–2200. IEEE Press, New York (2006)



Predicting IEC users' evaluation characteristics is one way of reducing users' fatigue. However, users' relative evaluation appears as noise to the algorithm which learns and predicts the users' evaluation characteristics. This paper introduces the idea of absolute scale to improve the performance of predicting users' subjective evaluation characteristics in IEC, and thus it will accelerate EC convergence and reduce users' fatigue. We first evaluate the effectiveness of the proposed method using seven benchmark functions instead of a human user. The experimental results show that the convergence speed of an IEC using the proposed absolute rating data-trained predictor is much faster than that of an IEC using a conventional predictor training with relative rating data. Next, the proposed algorithm is used in an individual emotion fashion image retrieval system. Experimental results of sign tests demonstrate that the proposed algorithm can alleviate user fatigue and has a good performance in individual emotional image retrieval.

Extended Abstract


Used References

H. Takagi, "Interactive Evolutionary Computation: Fusion of the Capacities of EC Optimization and Human Evaluation," Proceedings of the IEEE, vol. 89-9, pp. 1275-1296, 2001.

M. Ohsaki and H. Takagi, "Improvement of Presenting Interface by Predicting the Evaluation Order to Reduce the Burden of Human Interactive EC Operations," IEEE Int. Conf. on System, Man, and Cybenetics,pp.1284- 1289, 1998.

S. F. Wang and H, Takagi, "Improving the Performance of Predicting Users' Subjective Evaluation Characteristics to Reduce Their Fatigue in IEC," J. of Physiological Anthropology Applied Human Science, vol. 24-1, pp.121-125, 2005.

S. F. Wang and H. Takagi, "Evaluation of User Fatigue Reduction Through IEC Rating-Scale Mapping," 4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology, pp.672-681, 2005.

Charles E. Osgood, George J. Suci, Percy H. Tannenbaum, The measurement of meaning , Urbana: University of Illinois Press, 1957.

S. Iwashita, S. F. Wang, H. Takagi, "Subjective evaluation on the method for reduction of IEC user's fatigue though rationg scale mapping," 21th Fuzzy System Symposium, pp.610-613.


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