Type of Document Dissertation Author Perugini, Saverio Author's Email Address sperugin@cs.vt.edu URN etd-06252004-162449 Title Program Transformations for Information Personalization Degree PhD Department Computer Science Advisory Committee
Advisor Name Title Ramakrishnan, Naren Committee Chair Abbott, A. Lynn Committee Member Fox, Edward Alan Committee Member Pérez-Quiñones, Manuel A. Committee Member Rosson, Mary Beth Committee Member Keywords
- Hierarchical Hypermedia
- Information Retrieval
- Out-of-turn Interaction
- Personalization
- Program Transformations
- Partial Evaluation
- Program Slicing
- Web Mining
- Web Modeling
Date of Defense 2004-05-14 Availability unrestricted Abstract Personalization constitutes the mechanisms and technologies necessary tocustomize information access to the end-user. It can be defined as the
automatic adjustment of information content, structure, and presentation. The
central thesis of this dissertation is that modeling interaction explicitly in
a representation, and studying how partial information can be harnessed in it
by program transformations to direct the flow of the interaction, can provide
insight into, reveal opportunities for, and define a model for personalized
interaction. To evaluate this thesis, a formal modeling methodology is
developed for personalizing interactions with information systems, especially
hierarchical hypermedia, based on program transformations. The predominant
form of personalized interaction developed in this thesis is out-of-turn
interaction, a technique which empowers the user to take the initiative in a
user--system dialog by providing unsolicited, but relevant, information
out-of-turn. Out-of-turn interaction helps flexibly bridge any mismatch
between the user's model of information seeking and the system's hardwired
hyperlink structure in a manner fundamentally different from extant solutions,
such as multiple faceted browsing classifications and search tools. This
capability is showcased through two interaction interfaces using alternate
modalities to capture and communicate out-of-turn information to the underlying
system: a toolbar embedded into a traditional browser for out-of-turn textual
input and voice-enabled content pages for out-of-turn speech input. The
specific research issues addressed involve identifying and developing
representations and transformations suitable for general classes of
hierarchical hypermedia, providing supplemental interactions for improving the
personalized experience, and studying user's (out-of-turn) interactions with
resulting systems.
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