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Intelligent Assistants

Author

Listed:
  • Hitesh Dhiman

    (Institut für industrielle Informationstechnik (inIT), TH-OWL)

  • Christoph Wächter

    (Institut für industrielle Informationstechnik (inIT), TH-OWL)

  • Michael Fellmann

    (University of Rostock)

  • Carsten Röcker

    (Institut für industrielle Informationstechnik (inIT), TH-OWL
    Fraunhofer IOSB-INA)

Abstract

Intelligent assistants are an increasingly commonplace class of information systems spanning a broad range of form and complexity. But what characterizes an intelligent assistant, and how do we design better assistants? In the paper, the authors contribute to scientific research in the domain of intelligent assistants in three steps, each building on the previous. First, they investigate the historical context of assistance as human work. By examining qualitative studies regarding the work of human assistants, the authors inductively derive concepts crucial to modeling the context of assistance. This analysis informs the second step, in which they develop a conceptual typology of intelligent assistants using 111 published articles. This typology explicates the characteristics (what or how) of intelligent assistants and their use context (who or which). In the third and final step, the authors utilize this typology to shed light on historical trends and patterns in design and evaluation of intelligent assistants, reflect on missed opportunities, and discuss avenues for further exploration.

Suggested Citation

  • Hitesh Dhiman & Christoph Wächter & Michael Fellmann & Carsten Röcker, 2022. "Intelligent Assistants," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(5), pages 645-665, October.
    • Handle: RePEc:spr:binfse:v:64:y:2022:i:5:d:10.1007_s12599-022-00743-1
    DOI: 10.1007/s12599-022-00743-1
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    References listed on IDEAS

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    1. May, Jerrold H. & Vargas, Luis G., 1996. "SIMPSON: An intelligent assistant for short-term manufacturing scheduling," European Journal of Operational Research, Elsevier, vol. 88(2), pages 269-286, January.
    2. Stefan Morana & Jella Pfeiffer & Marc T. P. Adam, 2020. "User Assistance for Intelligent Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(3), pages 189-192, June.
    3. Sofia Samoili & Montserrat Lopez Cobo & Emilia Gomez & Giuditta De Prato & Fernando Martinez-Plumed & Blagoj Delipetrev, 2020. "AI Watch. Defining Artificial Intelligence. Towards an operational definition and taxonomy of artificial intelligence," JRC Research Reports JRC118163, Joint Research Centre.
    4. Alexander Maedche & Christine Legner & Alexander Benlian & Benedikt Berger & Henner Gimpel & Thomas Hess & Oliver Hinz & Stefan Morana & Matthias Söllner, 2019. "AI-Based Digital Assistants," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 535-544, August.
    5. Antje Janssen & Jens Passlick & Davinia Rodríguez Cardona & Michael H. Breitner, 2020. "Virtual Assistance in Any Context," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(3), pages 211-225, June.
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