Abstract
Artificial Intelligence (AI) and End-User Development (EUD) look at automation from two different perspectives. The former tends to provide fully automatic solutions, the latter aims to empower users to directly create what they want. We need both, but it is still unclear how to combine them to obtain effective every-day automations that meet the flexible and dynamic user needs. The panel aims to stimulate the Human-Computer Interaction community to think more carefully about such aspects and the possible approaches to address them.
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References
Lieberman, H., Paterno, F., Wulf, V. (eds.): End User Development. Kluwer Publishers, Dordrecht (2006)
Ardito, C., Desolda, G., Lanzilotti, R., Malizia, R., Matera, M.: Analysing trade-offs in frameworks for the design of smart environments. Behav. Inf. Technol. 39(1), 47–71 (2020)
Bakker, S., Elise Hoven, E., Berry, E.: Peripheral interaction: characteristics and considerations. Pers. Ubiquit. Comput. 19(1), 239–254 (2015). https://doi.org/10.1007/s00779-014-0775-2
Clemmensen, T., Hertzum, M., Abdelnour-Nocera, J.: Ordinary user experiences at work: a study of greenhouse growers. ACM Trans. Comput.-Human Interact. 27(3), 1–31 (2020). https://doi.org/10.1145/3386089
Fröhlich, P., Baldauf, M., Meneweger, T., Tscheligi, M., de Ruyter, B., Paternó, F.: Everyday automation experience: a research agenda. Pers. Ubiquit. Comput. 24(6), 725–734 (2020). https://doi.org/10.1007/s00779-020-01450-y
Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., Pedreschi, D.: A survey of methods for explaining black box models. ACM Comput. Surv. (CSUR) 51(5), 1–42 (2018)
Jia-Jun Li, T., Radensky, M., Jia, J., Singarajah, K., Mitchell, T.M., Myers, B.A.: PUMICE: a multi-modal agent that learns concepts and conditionals from natural language and demonstrations. In: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST 2019), pp. 577–589 (2019)
Shneiderman, B.: Human-centered artificial intelligence: reliable, safe & trustworthy. Int. J. Human-Comput. Interact. 36(6), 495–504 (2020)
Schmidt, A.: Implicit human computer interaction through context. Pers. Technol. 4(2), 191–199 (2000). https://doi.org/10.1007/BF01324126
Schmidt, A., Herrmann, T.: Intervention user interfaces: a new interaction paradigm for automated systems. Interactions 24(5), 40–45 (2017)
Manca, M., Paternò, F., Santoro, C., Corcella, L.: Supporting end-user debugging of trigger-action rules for IoT applications. Int. J. Hum. Comput. Stud. 123, 56–69 (2019)
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Paternò, F., Burnett, M., Fischer, G., Matera, M., Myers, B., Schmidt, A. (2021). Artificial Intelligence versus End-User Development: A Panel on What Are the Tradeoffs in Daily Automations?. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12936. Springer, Cham. https://doi.org/10.1007/978-3-030-85607-6_33
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DOI: https://doi.org/10.1007/978-3-030-85607-6_33
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