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The Nano Level of Media Use: Situational Influences on (Mobile) Media Use

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How We Use the Media

Abstract

The past two decades have witnessed tremendous change in our media ecologies, with one big trend among those changes being the rise of mobile media. Using these devices is not tied to any given location but they can be carried along with their users, enabling media use in nearly each and every context and situation in our everyday lives. Hence, the situational context of media use has become of theoretically unlimited variability, raising the interest in studying its influences on media use. But of course, context of media use had been studied already before the rise of mobile media. This chapter therefore sets out to first introduce situational dimensions already integrated in the study of traditional mass media use. Based on this we review current attempts to integrate situational characteristics into the study of mobile media use as well as methodological approaches to capture situational aspects of media use.

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References

  • Aguinis, H., & Bradley, K. J. (2014). Best practice recommendations for designing and implementing experimental vignette methodology studies. Organizational Research Methods, 17(4), 351–371. https://doi.org/10.1177/1094428114547952

    Article  Google Scholar 

  • Barwise, T. P., Ehrenberg, A. S. C., & Goodhardt, G. J. (1982). Glued to the box? Patterns of TV repeat-viewing. Journal of Communication, 32(4), 22–29. https://doi.org/10.1111/j.1460-2466.1982.tb02515.x

    Article  Google Scholar 

  • Belk, R. (1975). Situating the situation: A reply to Barker and Wicker. Journal of Consumer Research, 2(3), 235–236.

    Google Scholar 

  • Bennett, W. L., & Iyengar, S. (2008). A new era of minimal effects? The changing foundations of political communication. Journal of Communication, 58(4), 707–731. https://doi.org/10.1111/j.1460-2466.2008.00410.x

    Article  Google Scholar 

  • Biocca, F., David, P., & West, M. (1994). Continuous response measurement (CRM): A computerized tool for research on the cognitive processing of communication messages. In A. Lang (Ed.), Measuring psychological responses to media messages (pp. 15–64). Hillsdale: Lawrence Erlbaum Associates.

    Google Scholar 

  • Blumler, J. G., & Katz, E. (Eds.). (1974). The uses of mass communications: Current perspectives on gratifications research (Vol. 3). Beverly Hills, CA: Sage. Retrieved from http://www.loc.gov/catdir/enhancements/fy0660/73090713-d.html

    Google Scholar 

  • Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54(1), 579–616. https://doi.org/10.1146/annurev.psych.54.101601.145030

    Article  Google Scholar 

  • Bolger, N., & Laurenceau, J.-P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. New York, NY: Guilford Press.

    Google Scholar 

  • Bouwman, H., Bejar, A., & Nikou, S. (2012). Mobile services put in context: A Q-sort analysis. Telematics and Informatics, 29(1), 66–81. https://doi.org/10.1016/j.tele.2011.04.001

    Article  Google Scholar 

  • Dimmick, J., Kline, S., & Stafford, L. (2000). The gratification niches of personal e-mail and the telephone: Competition, displacement, and complementarity. Communication Research, 27(2), 227–248.

    Article  Google Scholar 

  • Gensch, D., & Shaman, P. (1980). Models of competitive television ratings. Journal of Marketing Research, 17(3), 307. https://doi.org/10.2307/3150528

    Article  Google Scholar 

  • Gibson, J. J. (1979). The ecological approach to visual perception. New York: Psychology Press (17th print).

    Google Scholar 

  • GSMA Association. (2018). The Mobile Economy 2018 (p. 60). London: GSMA Association. Retrieved from https://www.gsma.com/mobileeconomy/wp-content/uploads/2018/05/The-Mobile-Economy-2018.pdf

    Google Scholar 

  • Gustafsson, A., Herrmann, A., & Huber, F. (2003). Conjoint analysis as an instrument of market research practice. In A. Gustafsson, A. Herrmann, & F. Huber (Eds.), Conjoint measurement. Methods and applications (pp. 3–30). Berlin: Springer.

    Chapter  Google Scholar 

  • Hasebrink, U., & Domeyer, H. (2012). Media repertoires as patterns of behaviour and as meaningful practices: A multimethod approach to media use in converging media environments. Participations. Journal of Audience and Reception Studies, 9(2), 757–779.

    Google Scholar 

  • Hasebrink, U., & Krotz, F. (1993). Wie nutzen Zuschauer das Fernsehen? Konzept zur Analyse individuellen Nutzungsverhaltens anhand telemetrischer Daten. Media Perspektiven, 11–12, 515–527.

    Google Scholar 

  • Humphreys, L., Karnowski, V., & von Pape, T. (2018). Smartphones as Metamedia: A Framework for Identifying the Niches Structuring Smartphone Use. International Journal of Communication, 2793–2809.

    Google Scholar 

  • Karnowski, V., & Jandura, O. (2014). When lifestyle becomes behavior: A closer look at the situational context of mobile communication. Telematics and Informatics, 31(2), 184–193. https://doi.org/10.1016/j.tele.2013.11.001

    Article  Google Scholar 

  • Karren, R. J., & Barringer, M. W. (2002). A review and analysis of the policy-capturing methodology in organizational research: Guidelines for research and practice. Organizational Research Methods, 5(4), 337–361. https://doi.org/10.1177/109442802237115

    Article  Google Scholar 

  • Koch, T., Peter, C., & Müller, P. (2019). Das Experiment in der Kommunikations- und Medienwissenschaft: Grundlagen, Durchführung und Auswertung experimenteller Forschung. Wiesbaden: Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-19754-4

    Book  Google Scholar 

  • Kristoffersen, S., & Ljungberg, F. (1999). “Making Place” q to Make IT Work: Empirical Explorations of HCI for Mobile CSCW. In In GROUP’99: Proceedings of the international ACM SIGGROUP Conference on Supporting Group Work (pp. 276–285). New York: ACM Press.

    Google Scholar 

  • Kuchenbuch, V. K., & Auer, R. (2006). Audience Flow bei ZDF, ARD, RTL und SAT. Media Perspektiven, 3, 154–170.

    Google Scholar 

  • Kuzmičová, A. (2015). Does it Matter Where You Read? Situating Narrative in Physical Environment: Situating Narrative. Communication Theory. https://doi.org/10.1111/comt.12084

  • Larson, R., & Csikszentmihalyi, M. (1983, March). The experience sampling method. In H. T. Reis (Ed.), Naturalistic approaches to studying social interaction (Vol. 15, pp. 41–56). San Francisco: Jossey-Bass.

    Google Scholar 

  • Lee, I., Kim, J., & Kim, J. (2005). Use contexts for the Mobile internet: A longitudinal study monitoring actual use of Mobile internet services. International Journal of Human-Computer Interaction, 18(3), 269–292. https://doi.org/10.1207/s15327590ijhc1803_2

    Article  Google Scholar 

  • Mallat, N., Rossi, M., Tuunainen, V. K., & Öörni, A. (2009). The impact of use context on mobile services acceptance: The case of mobile ticketing. Information & Management, 46(3), 190–195. https://doi.org/10.1016/j.im.2008.11.008

    Article  Google Scholar 

  • Naab, T. K., Karnowski, V., & Schlütz, D. (2018). Reporting Mobile social media use: How survey and experience sampling measures differ. Communication Methods and Measures, 1–22. https://doi.org/10.1080/19312458.2018.1555799

  • Naab, T. K., & Schnauber, A. (2016). Habitual initiation of media use and a response-frequency measure for its examination. Media Psychology, 19(1), 126–155. https://doi.org/10.1080/15213269.2014.951055

    Article  Google Scholar 

  • Palmgreen, P., & Rayburn, J. D. I. (1985). An expectancy-value approach to media gratifications. In K. E. Rosengren, L. A. Wenner, & P. Philip (Eds.), Media gratifications research (pp. 61–72). London: Sage.

    Google Scholar 

  • Perry, M., O’hara, K., Sellen, A., Brown, B., & Harper, R. (2001). Dealing with mobility: Understanding access anytime, anywhere. ACM Transactions on Computer-Human Interaction, 8(4), 323–347. https://doi.org/10.1145/504704.504707

    Article  Google Scholar 

  • Quandt, T., & von Pape, T. (2010). Living in the Mediatope: A multimethod study on the evolution of Media Technologies in the Domestic Environment. The Information Society, 26(5), 330–345. https://doi.org/10.1080/01972243.2010.511557

    Article  Google Scholar 

  • Rossi, P. H., & Anderson, A. B. (1982). The factorial survey approach: An introduction. In P. H. Rossi & S. L. Nock (Eds.), Measuring social judgements (pp. 15–67). Beverly Hills: Sage.

    Google Scholar 

  • Schneider, F. M., Otto, L., & Bartsch, A. (2017). Das ist doch kein Zustand! Zur Messung von States und Traits in der Kommunikationswissenschaft. Medien & Kommunikationswissenschaft, 65(1), 83–100. https://doi.org/10.5771/1615-634X-2017-1-83

    Article  Google Scholar 

  • Schweiger, W. (2006). Transmedialer Nutzungsstil und Rezipientenpersönlichkeit. Publizistik, 51(3), 290–312.

    Article  Google Scholar 

  • Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4(1), 1–32. https://doi.org/10.1146/annurev.clinpsy.3.022806.091415

    Article  Google Scholar 

  • Struckmann, S., & Karnowski, V. (2016). News consumption in a changing media ecology: An MESM-study on mobile news. Telematics and Informatics, 33(2), 309–319. https://doi.org/10.1016/j.tele.2015.08.012

    Article  Google Scholar 

  • Turner, M., Love, S., & Howell, M. (2008). Understanding emotions experienced when using a mobile phone in public: The social usability of mobile (cellular) telephones. Telematics and Informatics, 25(3), 201–215.

    Article  Google Scholar 

  • van de Wijngaert, L., & Bouwman, H. (2009). Would you share? Predicting the potential use of a new technology. Telematics and Informatics, 26(1), 85–102.

    Article  Google Scholar 

  • van de Wijngaert, L., & Bouwman, H. (2011). Theoretical and methodological starting points for a situational approach towards the understanding of the adoption and use of new technologies and services. In A. Vishwanath & G. A. Barnett (Eds.), The diffusion of innovations. A communication science perspective (pp. 77–101). New York: Peter Lang.

    Google Scholar 

  • van den Hooff, B., Groot, J., & de Jonge, S. (2005). Situational influences on the use of communication technologies: A Meta-analysis and exploratory study. Journal of Business Communication, 42(1), 4–27. https://doi.org/10.1177/0021943604271192

    Article  Google Scholar 

  • van Meurs, L. (1999). Switching during commercial breaks. Amsterdam: Universiteit van Amsterdam.

    Google Scholar 

  • Vartiainen, M. (2006). Mobile virtual work—Concepts, outcomes and challenges. In J. H. E. Andriessen & M. Vartiainen (Eds.), Mobile virtual work: A new paradigm? (pp. 13–44). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-28365-X_2

    Chapter  Google Scholar 

  • Webster, J. G., & Wakshlag, J. J. (1982). The impact of group viewing on patterns of television program choice. Journal of Broadcasting, 26(1), 445–455. https://doi.org/10.1080/08838158209364012

    Article  Google Scholar 

  • Webster, J. G., & Wakshlag, J. J. (1983). A theory of television program choice. Communication Research, 10(4), 430–446. https://doi.org/10.1177/009365083010004002

    Article  Google Scholar 

  • Wonneberger, A., Schoenbach, K., & van Meurs, L. (2009). Dynamics of individual television viewing behavior: Models, empirical evidence, and a research program. Communication Studies, 60(3), 235–252. https://doi.org/10.1080/10510970902955992

    Article  Google Scholar 

  • Wonneberger, A., Schoenbach, K., & van Meurs, L. (2011). Interest in news and politics—Or situational determinants? Why people watch the news. Journal of Broadcasting & Electronic Media, 55(3), 325–343. https://doi.org/10.1080/08838151.2011.597466

    Article  Google Scholar 

  • Zhang, W., & Zhang, L. (2012). Explicating multitasking with computers: Gratifications and situations. Computers in Human Behavior, 28(5), 1883–1891. https://doi.org/10.1016/j.chb.2012.05.006

    Article  Google Scholar 

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Karnowski, V. (2020). The Nano Level of Media Use: Situational Influences on (Mobile) Media Use. In: Krämer, B., Frey, F. (eds) How We Use the Media . Transforming Communications – Studies in Cross-Media Research. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-41313-2_8

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