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Understanding in-car smartphone usage pattern with an un-obfuscated observation

Published:26 April 2014Publication History

ABSTRACT

The spread of smartphone has enabled everyone to easily participate in information activities regardless of time and space. The interiors of cars are not an exception to this phenomenon. Many drivers use their smartphone while driving, though it is legally restricted due to safety issues. This research intends to (1) observe the information behaviors of drivers (2) classify their information activities (3) and finally induce design implications. For this purpose, we conducted user research using an in-car monitoring system observing drivers in situ (Figure 1) and a smartphone application usage tracker. After gathering and integrating the data through a multi-coding process, we were able to introduce special categories, "five sessions," explaining a smartphone usage pattern in cars particularly. Moreover, using the drivers' voice recordings, we found out drivers' specific informational needs. The results informed us of four implications that could be used in smart cars or car-related services in the future.

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References

  1. Lindqvist, Janne, and Jason Hong. "Undistracted driving: A mobile phone that doesn't distract." Proceedings of the 12th Workshop on Mobile Computing Systems and Applications. ACM, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Matthews, Tara, Jeffrey Pierce, and John Tang. "No smart phone is an island: The impact of places, situations, and other devices on smart phone use." IBM RJ10452 (2009).Google ScholarGoogle Scholar
  3. Sohn, Timothy, et al. "A diary study of mobile information needs." Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Taylor, Carol A., et al. A framework for understanding mobile internet motivations and behaviors. ACM, 2008.Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems
      April 2014
      2620 pages
      ISBN:9781450324748
      DOI:10.1145/2559206

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 April 2014

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      Acceptance Rates

      CHI EA '14 Paper Acceptance Rate1,000of3,200submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

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