Abstract
With the emergence of smart, sensor-equipped mobile devices, the gathering and processing of data concerning the everyday lifestyles of the people using these devices has become a matter of course within the field of HCI. New standards in mobile technologies provide new opportunities for empirical studies, which allow researchers to explore people’s everyday lives unobtrusively. Furthermore, mobile, sensor-based approaches enhance empirical studies by automatically recognizing events of interest such as the arrival at specific locations. In this paper we describe how end-user development can be used to empower researchers without technical expertise to adjust their empirical studies to the individual dynamics of daily life. To do so, we implemented and evaluated the framework ‘FRAMES’ that allows researchers to flexibly specify and adopt mobile event-contingent self-report studies. The evaluation shows the potential of our framework for spontaneous customizations of the study without the need for redeployment or modification of the application.
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References
Fortunati, L.: The mobile phone: local and global dimensions. In: Nyíria, K. (ed.) A Sense of Place. The Global and the Local in Mobile Communication, pp. 61–70. Wien (2005)
Böhmer, M., Hecht, B., Johannes, S., Krüger, A., Bauer, G.: Falling asleep with angry birds, facebook and kindle – a large scale study on mobile application usage. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 47–56. ACM, Stockholm, Sweden (2011)
Do, T., Gatica-Perez, D.: By their apps you shall understand them: mining large-scale patterns of mobile phone usage. In: Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia, p. 27. ACM (2010)
Gouveia, R., Karapanos, E.: Footprint tracker: supporting diary studies with lifelogging. In: Proceedings of the Conference on Human Factors in Computing Systems, pp. 2921–2930. ACM (2013)
Christensen, P., Mikkelsen, M.R., Nielsen, T.A.S., Harder, H.: Children, Mobility, and Space: Using GPS and Mobile Phone Technologies in Ethnographic Research. J. Mix. Methods Res. 5, 227–246 (2011)
Bolger, N., Davis, A., Rafaeli, E.: Diary methods: capturing life as it is lived. Annu. Rev. Psychol. 54, 579–616 (2003)
Redelmeier, D.A., Kahneman, D.: Patients’ memories of painful medical treatments: Real-time and retrospective evaluations of two minimally invasive procedures. Pain 66, 3–8 (1996)
Wheeler, L., Reis, H.T.: Self-Recording of Everyday Life Events: Origins, Types, and Uses. J. Pers. 59, 339–354 (1991)
Brown, B.A.T., Sellen, A.J., O’Hara, K.P.: A diary study of information capture in working life. In: Turner, T., Szwillus, G., Czerwinski, M., Paternò, F. (eds.) Proceedings of the Conference on Human Factors in Computing Systems, pp. 438–445. ACM (2000)
Hulkko, S., Mattelmäki, T., Virtanen, K., Keinonen, T.: Mobile probes. In: Proceedings of the 3rd Nordic Conference on Human Computer Interaction, pp. 43–51. ACM (2004)
Consolvo, S., Walker, M.: Using the experience sampling method to evaluate ubicomp applications. IEEE Pervasive Comput. 2, 24–31 (2003)
Kahneman, D., Krueger, A.B., Schkade, D.A., Schwarz, N., Stone, A.A.: A survey method for characterizing daily life experience: the day reconstruction method. Science 306, 1776–1780 (2004)
Dörner, C., Heß, J., Pipek, V.: Fostering user-developer collaboration with infrastructure probes. Inf. Syst. J., 45–48 (2008)
Church, K., Smyth, B.: Understanding mobile information needs. In: Proceedings of the 10th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 493–494. ACM (2008)
Brandt, J., Weiss, N., Klemmer, S.R.: txt 4 l8r : Lowering the burden for diary studies under mobile conditions. In: ACM (ed.) Extended Abstracts on Human Factors in Computing Systems 2007, pp. 2303–2308. ACM New York (2007)
Möller, A., Kranz, M., Schmid, B., Roalter, L., Diewald, S.: Investigating self-reporting behavior in long-term studies. In: Proceedings of the Conference on Human Factors in Computing Systems CHI 2013, p. 2931. ACM, New York, USA (2013)
Robinson, M.D., Clore, G.L.: Belief and feeling: Evidence for an accessibility model of emotional self-report. Psychol. Bull. 128, 934–960 (2002)
Froehlich, J., Chen, M.Y., Consolvo, S., Harrison, B., Landay, J.A.: MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones. In: Design, pp. 57–70. ACM (2007)
Liu, N., Liu, Y., Wang, X.: Data logging plus e-diary: towards an online evaluation approach of mobile service field trial. In: Proceedings of the 12th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 287–290. ACM (2010)
Lieberman, H., Paternò, F., Wulf, V.: End User Development. Springer, Netherlands (2006)
Henderson, A., Kyng, M.: There’s no place like home: continuing design in use. In: Greenbaum, J., Kyng, M., (eds.) Design at Work Cooperative Design of Computer Systems, pp. 219–240. Lawrence Erlbaum Associates (1991)
Malone, T.W., Lai, K.-Y., Fry, C.: Experiments with Oval: a radically tailorable tool for cooperative work (1995)
Fischer, G., Girgensohn, A., Nakakoji, K., Redmiles, D.: Supporting software designers with integrated domain-oriented design environments. IEEE Trans. Softw. Eng. 18, 511–522 (1992)
Dourish, P.: Developing a reflective model of collaborative systems (1995)
Stiemerling, O., Wulf, V.: Beyond “Yes or No” - Extending Access Control in Groupware with Awareness and Negotiation. Gr. Decis. Negot. 9, 221 (2000)
Kruse, H.C.J., Slagter, R.J., Ter Hofte, G.H.: Collaborative component software: The CoCoWare framework and its application (2000)
Luckham, D.C.: The power of events: an introduction to complex event processing in distributed enterprise systems. In: Bassiliades, N., Governatori, G., Paschke, A. (eds.) RuleML 2008. LNCS, vol. 5321, p. 3. Springer, Heidelberg (2008)
Indulska, J., Bettini, C., Campbell, R., Mascolo, C., Aharony, N., Pan, W., Ip, C., Khayal, I., Pentland, A.: Social fMRI: Investigating and shaping social mechanisms in the real world. Pervasive Mob. Comput. 7, 643–659 (2011)
Twidale, M., Randall, D., Bentley, R.: Situated evaluation for cooperative systems. In: Proceedings of the 1994 ACM conference on Computer supported cooperative work, pp. 441–452. ACM (1994)
Nielsen, J.: Usability Engineering. Morgan Kaufmann (1993)
Ludwig, T., Scholl, S., Pipek, V.: PartS: Participatory Sensing for In Situ Capturing of People’s Behavior from an End-User Perspective (2015) (in review)
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Dax, J., Ludwig, T., Meurer, J., Pipek, V., Stein, M., Stevens, G. (2015). FRAMES – A Framework for Adaptable Mobile Event-Contingent Self-report Studies. In: Díaz, P., Pipek, V., Ardito, C., Jensen, C., Aedo, I., Boden, A. (eds) End-User Development. IS-EUD 2015. Lecture Notes in Computer Science(), vol 9083. Springer, Cham. https://doi.org/10.1007/978-3-319-18425-8_10
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DOI: https://doi.org/10.1007/978-3-319-18425-8_10
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