posted on 2005-01-01, 00:00authored byLalitha Agnihotri, John R. Kender, Nevenka Dimitrova, John Zimmerman
The need for personalized summaries of media content has been
driven by the recent and anticipated explosive growth in the
media world. In this paper we present a methodology and a
supporting user study for generating user profiles and content
features that can be used to automatically create personalized
summaries of broadcast television content. We determined a
mapping, from users' personality traits measured by commonly
available personality tests, to computable video features that
such personality traits appear to prefer. Three common
personality profiles (Myers-Briggs, Merrill Reed, and Brain.exe)
were elicited from 59 subjects, together with their preferred
summary of news, music, and talk show videos. A factor
analysis between the personality traits and the features in
preferred summaries indicated that only some traits (e.g.,
gender, extraversion, control orientation, intuitiveness, etc.)
and only some features (e.g., faces, reportage, text, chorus, host,
etc.) had predictive value. The mapping of personality to
feature also differed by genre. However, in general, extraverted
users tended to prefer directly experienced content, while
introverted users preferred content mediated through analysis.
A validation user study is in progress.