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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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TZID:Europe/Paris
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DTSTART:20151025T030000
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UID:calendar.7211.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260405T115705Z
CREATED:20151214T095945Z
DESCRIPTION:Knowing the social context may allow a system to provide social
 ly-aware services to the visitors. Evidence of the social context can be g
 ained from observing/monitoring the visitors’ social behavior. However\, a
 utomatic identification of a social context requires on the one hand ident
 ifying typical social-behavior patterns\, and on the other using relevant 
 sensors that measure various signals and reason about them to detect the v
 isitors’ social behavior. The talk will present such typical social-behavi
 or patterns of visitor pairs\, identified by observations\, and then\, the
  instrumentation\, detection process\, reasoning\, and analysis of measure
 d signals that enables to detect the visitors' social behavior. Simple sen
 sors' data\, such as proximity to other visitors\, proximity to museum poi
 nts-of-interest\, and visitor orientation were used to detect social synch
 ronization\, attention to the social companion\, and interest in museum ex
 hibits. The presented approach may allow future research to offer adaptive
  services to museum visitors based on their social context\, to support th
 eir group visit experience better.Bio: Prof. Tsvi Kuflik is the former hea
 d of the Information Systems Dept. at The University of Haifa (now on saba
 ttical). Over the past ten years\, the focus of his work was on ubiquitous
  user modeling applied to cultural heritage. In the course of his work\, a
  “Living Lab” has been developed at the University of Haifa – a museum vis
 itors’ guide system was developed for the Hecht museum. It is available fo
 r visitors on a daily basis and serves also as a test bed for experimentin
 g with novel technologies in the museum. Currently\, the system is being u
 sed for research on Social Signal Processing where signals transmitted by 
 devices carried by the visitors are used for modeling group behavior\, in 
 order to reason about the state of the group visit. Another research direc
 tion focusses on the use of intelligent user interfaces in ubiquitous comp
 uting within the “living lab”. Where issues like interaction with large\, 
 situated displays\; interrupt management\; navigation support\; temporal a
 nd lifelong aspects of ubiquitous user modeling are studied. Tsvi got BSc.
  and MSc. In computer science and PhD. In information systems from Ben-Gur
 ion University of the Negev\, Israel. Over the years Tsvi collaborated wit
 h local and international researchers\, supervised graduate students worki
 ng with him on this research\, organized the PATCH workshops series (Perso
 nal Access To Cultural Heritage) and published about 200 scientific papers
 \, out of them 30 papers about this specific research. Tsvi is also a dist
 inguished ACM scientist and a senior IEEE member.
DTSTART;TZID=Europe/Paris:20151217T100000
DTEND;TZID=Europe/Paris:20151217T100000
LAST-MODIFIED:20190805T155749Z
LOCATION:Aula Magna\, DIAG\, via Ariosto 25\, Roma
SUMMARY:Tsvi Kuflik - Automatic Detection of Social Behavior of Museum Visi
 tor Pairs - Tsvi Kuflik
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/7211
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