Skip to main content

Artificial Intelligence versus End-User Development: A Panel on What Are the Tradeoffs in Daily Automations?

  • Conference paper
  • First Online:
Human-Computer Interaction – INTERACT 2021 (INTERACT 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12936))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lieberman, H., Paterno, F., Wulf, V. (eds.): End User Development. Kluwer Publishers, Dordrecht (2006)

    Google Scholar 

  2. 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)

    Article  Google Scholar 

  3. 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

    Article  Google Scholar 

  4. 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

    Article  Google Scholar 

  5. 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

    Article  Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. 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)

    Google Scholar 

  8. Shneiderman, B.: Human-centered artificial intelligence: reliable, safe & trustworthy. Int. J. Human-Comput. Interact. 36(6), 495–504 (2020)

    Article  Google Scholar 

  9. Schmidt, A.: Implicit human computer interaction through context. Pers. Technol. 4(2), 191–199 (2000). https://doi.org/10.1007/BF01324126

    Article  Google Scholar 

  10. Schmidt, A., Herrmann, T.: Intervention user interfaces: a new interaction paradigm for automated systems. Interactions 24(5), 40–45 (2017)

    Article  Google Scholar 

  11. 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)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fabio Paternò .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85607-6_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85606-9

  • Online ISBN: 978-3-030-85607-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics