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ABSTRACT

Mobile phones may interrupt in any place at any time. Using the SocioXensor research tool on people's own mobile phones, we conducted an experience sampling study to explore which context information predicts a person's availability for a phone call, and which context information people wanted to disclose to particular social relations. Like other studies, we found that a small set of context information can help initiators of phone calls to improve their ability to know when recipients are receptive to phone calls. We also found that if we restrict the information to information recipients actually want to disclose, which is only a small subset of all information, enough context information is still available for initiators of phone calls to improve their ability to know when recipients are receptive to phone calls.

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.3 Group and Organization Interfaces
          Subjects: Collaborative computing

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.6 Learning

Keywords:
ESM, SocioXensor, context-aware telephony, interruptions