报告人：文晟研究员 中央财经大学中国精算研究院
报告题目：When Augmented Reality Comes to Melbourne: People, Pok\'emon, and Their Social Networking
时 间：2016年12月08 日(星期四) 15:00 ~ 18:00
地 点：仓山校区成功楼601会议室
主 办：数学与计算机科学学院，福建省网络安全与密码技术重点实验室
参加对象：计算机方向的研究生，感兴趣的教师和其他方向的研究生
报告摘要：Augmented reality (AR) is a live view of the physical world whose elements are supplemented by computer-generated sensory input such as GPS data. A typical example is the recent popular AR-based game, Pokemon GO which attracted hordes of players after it has been released in June 2016. In the game, players use a mobile device's GPS capability to locate, capture, battle, and train virtual creatures, called Pokemon, who appears on the screen as if they were in the same real-world location as the player. Academically, there exist two symbiotic social networks related to the Pokemon GO game, one in the real world among players, and another one in the virtual world among players' virtual agencies (e.g. pokemons).
In this paper, we carried out a data-driven research on the Pokemon GO game to explore AR-based social networks. Accordingly, we designed a questionnaire to collect players' individual behaviours in Pokemon GO, and adopted maps of Melbourne to track their usual playing areas. Based on the data that we collected, we first built up the symbiotic social networks in both physical world (i.e. refers to players) and virtual world (i.e. refers to pokemons) as well as interactions between players and Pokemon GO elements (i.e. `bridges' of two worlds). We then investigated the mutual impact of the two social networks. We found that players' activities in the virtual world reflected their physical behaviours and movement. We further studied how the AR technique changed the social behaviours of players. By incorporating the real-world pedestrian dataset collected by sensors across Melbourne CBD into the study, we found that people's social networking behaviours significantly changed after AR came to Melbourne. As far as we know, this paper is the first to study the AR-based social networking and its participants.
专家简介：Dr. Sheng Wen received two PhD degrees from Central South University, China in February 2013 and Deakin University, Melbourne, in October 2014, respectively. He has been working full-time as a research fellow in Deakin University after he submitted his doctoral thesis in April 2014. From January 2015, he has been a Lecturer in Computer Science in the School of Information Technology in Deakin University. He also joined the Centre of Cyber Security Research as a core research member. Dr. Wen manages several small research projects that are considered as seed funding for national projects. For example, he is in charge of three Central Research Grants Schemes (CRGS) in Deakin University. He also manages industrial funding for start-up companies, such as Industry Engagement and Incentive Scheme in Deakin University. Since late 2014, Dr. Wen has received 5 small projects from both academia and industries. Dr. Wen is also leading a small research group. This small team includes Dr. Wen, 3 PhD students in Deakin as supervisors and one external senior researcher as collaborator (Dr. Mohammod S. Haghighi in University of Teheran). The small team focuses on the research of social network analysis and cyber physical security. In the last four years, as an excellent early career researcher, Dr. Wen has published more than 40 high-quality papers, including 25 journal papers (e.g. IEEE TPDS, TDSC, TIFS, TC, ACM TSN) and 15 conference articles in the fields of information security, epidemic modelling and source identification. Dr. Wen has also been actively providing services to the research community. For example, he is on the editorial board of Journals: 1) Ad Hoc & Sensor Wireless Networks (Elsevier, IF=0.487), 2) International Journal of Computer and Applications (Flayer, IF=0.22). He has been invited to be Chair Committee member for WMNC 2015, CSS 2015, IEEE BigDataService 2015, and GPC 2015. He also served as PC member for a number of International Conferences, such as Trustcom 2014, NSS 2014, SmartComp 2014, Trustcom 2015, ACISP 2016, AICCSA 2015, CSS 2012, DependSys 2015, HPCC 2015, ICA3PP 2015, ICA3PP 2011, ISICA 2015, NSS 2015, SNAMS 2015, SocialSec 2015, SocialSec 2016, DependSys 2016, TrustCom 2016, IEEE ICC 2016, IEEE Globalcom 2016.
