YouPivot: Improving recall with contextual search

Joshua Hailpern, Nicholas Jitkoff, Andrew Warr, Karrie Karahalios, Robert Sesek, Nikita Shkrob

Research output: Chapter in Book/Report/Conference proceedingConference contribution


According to cognitive science literature, human memory is predicated on contextual cues (e.g., room, music) in the environment. During recall tasks, we associate information/activities/objects with contextual cues. However, computer systems do not leverage our natural process of using contextual cues to facilitate recall. We present a new interaction technique, Pivoting, that allows users to search for contextually related activities and find a target piece of information (often not semantically related). A sample motivation for contextual search would be, "what was that website I was looking at when Yesterday by The Beatles was last playing?" Our interaction technique is grounded in the cognitive science literature, and is demonstrated in our system YouPivot. In addition, we present a new personal annotation method, called TimeMarks, to further support contextual recall and the pivoting process. In a pilot study, participants were quicker to identify websites, and preferred using YouPivot, compared to current tools. YouPivot demonstrates how principles of human memory can be applied to enhance the search of digital information.

Original languageEnglish (US)
Title of host publicationCHI 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Print)9781450302289
StatePublished - 2011

Publication series

NameConference on Human Factors in Computing Systems - Proceedings


  • Contextual cue
  • Contextual search
  • Human memory
  • Interface
  • Pivot
  • Pivoting
  • Search
  • Time mark
  • YouPivot

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design


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