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In our study we did not achieve high yield of results for now in predicting like/dislike of users as this is a feasibility study based on trials. Thus, we have inferred that we need to use higher complexity models of Deep Learning for achieving better accuracy in near future. We also need to work on a method to tackle fake-responses. We have future plans to provide the participants with a wide variety of choice and more neutral choices to objectively analyze the decision-making process while tracking their eye-movement as an additional parameter while delving deeper into complex classifiers for achieving higher predictions accuracy. We also think that additional methods can be added on to this process like eye-tracking coupled with higher complexity models of classifiers to take our prediction accuracy to a higher level.

Figure 3.10 Approximate brain EEG map for dislike state.

Figure 3.11 Approximate brain EEG map for like state.