skip to main content
10.1145/1851600.1851620acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
research-article

Effects of content and time of delivery on receptivity to mobile interruptions

Published:07 September 2010Publication History

ABSTRACT

In this paper we investigate effects of the content of interruptions and of the time of interruption delivery on mobile phones. We review related work and report on a naturalistic quasi-experiment using experience-sampling that showed that the receptivity to an interruption is influenced by its content rather than by its time of delivery in the employed modality of delivery - SMS. We also examined the underlying variables that increase the perceived quality of content and found that the factors interest, entertainment, relevance and actionability influence people's receptivity significantly. Our findings inform system design that seeks to provide context-sensitive information or to predict interruptibility and suggest the consideration of receptivity as an extension to the way we think and reason about interruptibility.

References

  1. Adamczyk, P. D. and B. P. Bailey. If not now, when?: the effects of interruption at different moments within task execution. Proc. CHI 2004. ACM Press (2004). Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Avrahmi, D. Fogarty, Hudson, S. E. Biases in human estimation of interruptibility: effects and implications for practice. Proc. CHI 2007. ACM Press (2007). Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Begole, J., Matsakis, N. E., Tang, J. C. Lilsys: Sensing Unavailability. Proc. CSCW 2004. ACM Press (2004). Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bulmer, M. G. Principles of Statistics, Dover Publications (1979).Google ScholarGoogle Scholar
  5. comScore: Mobile Internet Becoming a Daily Activity For Many. http://bit.ly/aYOHkx. Accessed: 23.02.2010Google ScholarGoogle Scholar
  6. Csikszentmihalyi, M., Larson, R., Prescott, S. The ecology of adolescent activity and experience. Journal of Youth and Adolescence 6, 3 (1977), 281--294.Google ScholarGoogle ScholarCross RefCross Ref
  7. Csikszentmihalyi, M., LeFevre, J. Optimal experience in work and leisure. Journal of Personality and Social Psychology 56, 5 (1989), 815--822.Google ScholarGoogle ScholarCross RefCross Ref
  8. Cutrell, E. B., Czerwinski, M., Horvitz E. Effects of instant messaging interruptions on computing tasks. Ext. abstracts CHI 2000, ACM Press (2000). Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Czerwinski, M., Cutrell, E., Horvitz, E. Instant messaging: Effects of relevance and time. People and computers XIV: Proc. HCI 2000, British Computer Society (2000).Google ScholarGoogle Scholar
  10. Dey, A. K., Salber, D., Abowd G. D., A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications. Human-Computer Interaction 16, 2 (2001), 97 -- 166. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Dourish, P. What we talk about when we talk about context. Personal and Ubiquitous Computing 8, 1 (2004), 19--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Grandhi, S. A., Jones, Q. Conceptualizing interpersonal interruption management: a theoretical framework and research program. Proc. Hawaii International Conference on System Sciences 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Ho, J., Intille, S.S. Using context-aware computing to reduce the burden of interruptions from mobile devices. Proc. CHI 2005, ACM Press (2005). Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Hudson, J. M., Christensen, J., Kellogg, W. A., Erickson, T. "I'd be overwhelmed, but it's just one more thing to do": availability and interruption in research management. Proc. CHI 2002, ACM Press (2002). Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Hudson, S., Fogarty, J., Akeson, C., Avrahami, D., Forlizzi, J., Kiesler, S., Lee, J., Yang, J. Predicting human interruptibility with sensors: a Wizard of Oz feasibility study. Proc. CHI 2003, ACM Press (2003). Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Iqbal, S. T., Bailey, B. P. Leveraging characteristics of task structure to predict the cost of interruption. Proc. CHI 2006, ACM Press (2006). Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Kalyanaramen, S., Ivory J., Maschmeyer, L. Interruptions and online information processing: The role of interruption type, interruption content, and interruption frequency. Proc. Annual Meeting of Int. Communication Association 2005.Google ScholarGoogle Scholar
  18. Lasswell, H. D. The structure and function of communication in society. In Bryson, L. (ed.) The Communication of Ideas. New York, Harper (1948).Google ScholarGoogle Scholar
  19. Lei, S., Zhang, K., Sha, E. Applying Situation Awareness to Mobile Proactive Information Delivery. In Emerging Directions in Embedded and Ubiquitous Computing. Berlin, Heidelberg, Springer (2007), 592--603. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Miyata, Y., Norman, D. A. Psychological issues in support of multiple activites. In Norman. D. A. (ed.) User-Centered System Design. Hillsdale, NJ, Lawrence Erlbaum Associates (1986), 265--284.Google ScholarGoogle Scholar
  21. Nardi, B. A., Whittaker, S., Bradner, E. Interaction and outeraction: instant messaging in action. Proc. CSCW 2000, ACM Press (2000). Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Oulasvirta, A., Tamminen, S., Roto, V., Kuorelahti, J. Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI. Proc. CHI 2005, ACM (2005). Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Schegloff, E. A. Sequencing in Conversational Openings. American Anthropologist 70, 6 (1968), 1075--1095.Google ScholarGoogle ScholarCross RefCross Ref
  24. Scollon, C. N., Kim-Prieto, C. Diner, E. Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses. Journal of Happiness Studies 4, 1 (2003), 5--34.Google ScholarGoogle ScholarCross RefCross Ref
  25. Shen, X., Chen H. An Empirical Study of What Drives Consumers to Use Mobile Advertising in China. Proc. Grid and Pervasive Computing - Workshops, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Sohn, T., Li, K. A., Griswold, W. G., Hollan, J. D. A diary study of mobile information needs. Proc. CHI 2008. ACM Press (2008). Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Stone, A., Shiffman, S. Capturing momentary, self-report data: A proposal for reporting guidelines. Annals of Behavioral Medicine 24, 3 (2002), 236--243.Google ScholarGoogle ScholarCross RefCross Ref
  28. Tolmie, P., Crabtree, A., Rodden, T., Benford. S. "Are you watching this film or what?" Interruptions and the juggling of cohorts. Proc. CSCW 2008. ACM Press (2008). Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Tsang, M. M., Ho, S.-C., Liang, T.-P. Consumer Attitudes Toward Mobile Advertising: An Empirical Study. International Journal of Electronic Commerce 8, 3 (2004), 65--78. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Vastenburg, M. H., Keyson, D. V., de Ridder, H. Interrupting people at home. Proc. 2004 IEEE Systems, Man and Cybernetics.Google ScholarGoogle Scholar
  31. Xia, L. and D. Sudharshan. Effects of Interruptions on Consumer Online Decision Processes. Journal of Consumer Psychology 12, 3 (2002), 265--280.Google ScholarGoogle ScholarCross RefCross Ref
  32. Xu, K., Zhu, M., Zhang, D., Gu, T. Context-aware content filtering & presentation for pervasive & mobile information systems. Proc. Ambient media and systems. Quebec, Canada, ICST (2008). Google ScholarGoogle ScholarDigital LibraryDigital Library

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
    September 2010
    552 pages
    ISBN:9781605588353
    DOI:10.1145/1851600
    • General Chairs:
    • Marco de Sá,
    • Luís Carriço,
    • Program Chair:
    • Nuno Correia

    Copyright © 2010 ACM

    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 7 September 2010

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article

    Acceptance Rates

    MobileHCI '10 Paper Acceptance Rate46of225submissions,20%Overall Acceptance Rate202of906submissions,22%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader