The WILD project: Multi-scale, Multi-surface, and Multi-user Interaction, by
Dr. Michel Beaudouin-Lafon,
Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud, Orsay France.
Monday, Dec. 2, 2013, 13:00, Milton Bender auditorium.
WILD focuses on interaction, providing users with a 3D real-time motion capture system, multi-touch tabletop displays and other devices. Unlike other wall-sized displays, users will be able to interact and collaborate directly, to both visualize and manipulate heterogeneous data sets.
Multi-scale Interaction lets users navigate through large and complex datasets by visualizing them at different scales. The high-resolution wall affords multi-scale interaction through simple locomotion: approaching the wall reveals details. Motion tracking will enable us to design new visualization and navigation techniques that use full-body motion to control scale.
Multi-surface Interaction manages data displayed on multiple surfaces such as the wall, tabletop display, and mobile devices (PDAs, iPod Touch, mobile phones, etc.). A key issue is to provide efficient techniques to help users transfer information seamlessly from one surface to another. The motion tracking system will offer a unique opportunity to investigate new multi-surface interaction techniques.
Multi-user Interaction supports users collaborating to achieve a task, users interacting simultaneously on the same dataset, and the exchange of data among users. WILD will focus on collaborative interactions involving multiple display and input surfaces. Typical situations include two users working on the same dataset, one sitting at the table with a global view of the wall display, the other standing closer to the wall, getting detailed information about a region of the screen.
An object oriented metrics suite based on cognitive informatics, by Prof. Sanjay Mishra, Covenant University, OTA, Nigeria.
Monday, Jul. 1, 2013, 11:00, ICT#E220.
This talk will introduce the suite of metrics for Object oriented programming. The metrics are developed using cognitive weight based on cognitive informatics. The proposed metrics covers majority of the important features (e.g. inheritance, coupling, class and methods) of Object oriented programming. The metric suite is demonstrated with a case study. Biography
Sanjay Misra is a software engineer and professor of computer engineering in Covenant University, OTA, Nigeria. He also served as head of department of computer engineering and head of Cyber Security department from in Federal University of Technology, Minna Nigeria.
The Equivalence between Abstract Argumentation and Logic Programming,
Dr. Martin Caminada, University of Aberdeen, UK.
Wednesday May 29, 2013, 11:00, CSIM #106.
Abstract argumentation has become a popular approach for nonmonotonic inference. The basic idea is to construct a form of aggregates, called arguments, and to examine how these attack each other (basically, to construct a directed graph in which the arguments are represented by vertices and the attack relation is represented by edges). Several criteria have been stated (called "argumentation semantics") for evaluating such a graph, basically to decide which arguments to accept and which arguments to reject.
Logic Programming is a slightly older approach for nonmonotonic inference. Here, one starts with a set of rules like "a <- b, c, not d", stating that if b and c can be derived and d cannot be derived, then a can be derived. Again, several criteria have been stated (called "logic programming semantics") for evaluating a logic program, basically to decide which atoms to accept and which atoms to reject. There turns out to be a striking similarity between these two approaches. In fact, it is possible to convert a logic program to an argumentation framework in standard way. Most of the argumentation semantics can then be shown to coincide with related logic programming semantics. However, there turn out to be two noticeable exceptions, questioning whether Abstract Argumentation is indeed a general approach for nonmonotonic inference.
Trust in Context, by Prof. Abhaya Nayak, Macquarie University, Australia.
Monday, Jan. 21, 2013, 11:00, CSIM #106.
Prof. Abhaya Nayak is a faculty member in the Department of Computing, Macquarie University, Sydney (Australia). He is typically teaching units related to Artificial Intelligence, Programming and Database Systems. His research interests include Belief Revision, Nonmonotonic Reasoning, Reasoning about Action, and Intelligent Information Assimilation. He is particularly interested in the application of Social Choice Theory in the context of information management. He is a co-founder of the Intelligent Systems Group at Macquarie, the other founder being Mehmet Orgun. They jointly supervise the functioning of this research group.
This talk examines how Spohn’s Ordinal Conditional Functions, which are used to model belief dynamics, when appropriately adapted and interpreted, can fruitfully model the dynamics of trust. In this framework, trust is deﬁned in terms of lack of trust (trust deﬁcit) which is taken to be a primitive notion.
It explores the notion of context sensitive trust, i.e., how in different domains of human interaction, one agent might trust another agent in varying degrees, and suggests the dynamics of such trust.