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The interest to the concept of the Internet of Things is growing rapidly in the scenario of wireless telecommunications. The main idea behind this concept is the usage of the Internet as a common platform for connection of billions of Things around us. The main missing attribute in the Internet of Things concept is still the lack of interaction techniques with or between these Things. Hence, the Internet of Conversational Things makes this concept to happen and brings to the idea of direct interaction with all these devices. In this paper, we will describe and analyse the techniques of Internet of Conversational Things concept by examining the state-of-the-art approaches. At the end, we will come up with the new concept of Internet of Speech that will provide more connectivity between Things.

Abstract-Development of conversational agents started half century ago and since then it has transformed into a technology that is accessible in various aspects in everyday life. This paper presents a survey current state-of-the-art in the open domain neural conversational agent research and future research directions towards Artificial General Intelligence (AGI) creation. In order to create a conversational agent which is able to pass the Turing Test, numerous research efforts are focused on open-domain dialogue system. This paper will present latest research in domain of Neural Network reasoning and logical association, sentiment analysis and real-time learning approaches applied to open domain neural conversational agents. As an effort to provide future research directions, current cuttingedge approaches applied to open domain neural conversational agents, current cutting-edge approaches in rationale generation and the state-of-the-art research directions in alternative training methods will be discussed in this paper.

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This is the published version of the paper.This version of the publication may differ from the final published version. This paper explores gender differences among the students that used augmented reality (AR) in Iranian secondary schools. Vocabulary learning is considered as basic in foreign language acquisition, and it has a great importance in Iranian language education. Participants of the study were both female and male students due to the fact Iranian schools are considered gender-based 1, 2 . The Iranian education system is not based on co-education, and for this reason male and female students attend different schools. The current study is based on experimental design, and data was collected using pre-test and post-test. The findings show that there are no differences in learning English vocabulary due to gender among the Iranian students who use the AR-based approach. Permanent repository link