Before revision:  We propose a Twenty-Questions style collaborative image guessing game, Explanation-assisted Guess Which (ExAG)  as a method of evaluating the efficacy of explanations  in the context of Visual Question Answering (VQA) - the task of answering natural language questions on images.
After revision:  We propose a Twenty-Questions style collaborative image guessing game, Explanation-assisted Guess Which (ExAG) as a method of evaluating the efficacy of explanations in the context of Visual Question Answering (VQA) . In our proposed ExAG, a human user needs to guess a secretly picked image by the VQA agent by asking natural language questions on images.