Eventi passati

IFKAD 2015 - Collective Intelligence Systems for Technology Entrepreneurship

IFKAD 2015 Special Tracks

Science & technology - Food for mind, Energy for the future

Tre giorni di workshop e formazione gratuita al femminile.

Seminario Dr. Latzina - SAP SE

Seminario Dr. Latzina - SAP SE

Settimana dell'Orientamento 9-13 febbraio presso il Campus

Dal 9 al 13 febbraio 2015, presso il Campus universitario Ernesto Quagliarello si svolgerà la "Settimana dell’Orientamento". Consultare il portale uniba per maggiori informazioni

La Mappa dell'Intolleranza

Hour of Code 8-14 Dicembre al Dipartimento di Informatica

SSE'14: 6th International Workshop on Social Software Engineering

colocated with the 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2014)

LD4IE 2014: 2nd International workshop on Linked Data for Information Extraction.

This workshop focuses on the exploitation of Linked Data for Web Scale Information Extraction (IE), which concerns extracting structured knowledge from unstructured/semi-structured documents on the Web.

IntRS 2014 - ACM RecSys Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

Held in conjunction with the ACM Conference on Recommender Systems (RecSys 2014) 6-10th October 2014, Silicon Valley, California. Submission deadline: 21st of July, 2014

Seminario Prof. Tsvi Kuflik: Automatic Detection of Social Behavior of Museum Visitor Pairs

Abstract: In many cases, visitors come to a museum in small groups. In these cases, the visitors’ social context has an impact on their museum visit experience. Knowing the social context may allow a system to provide socially-aware services to the visitors. Evidence of the social context can be gained from observing/monitoring the visitors’ social behavior. However, automatic identification of a social context requires on the one hand identifying typical social-behavior patterns, and on the other using relevant sensors that measure various signals and reason about them to detect the visitors’ social behavior. We present such typical social-behavior patterns of visitor pairs, identified by observations, and then, the instrumentation, detection process, reasoning, and analysis of measured signals that enables us to detect the visitors' social behavior. Simple sensors' data, such as proximity to other visitors, proximity to museum points-of-interest, and visitor orientation are used to detect social synchronization, attention to the social companion, and interest in museum exhibits. The presented approach may allow future research to offer adaptive services to museum visitors based on their social context, to support their group visit experience better.