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Towards an Ontology of Cognitive Assistants

Part of: Knowledge-based Engineering

Published online by Cambridge University Press:  26 July 2019

Torsten Maier ,
Jessica Menold  and
Christopher McComb

Abstract

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Cognitive assistants such as IBM Watson and Siri are at the forefront of social and technological innovation and have the potential to solve many unique problems. However, the lack of standardization and classification within the field impedes critical analysis of existing cognitive assistants and may further inhibit their growth into more useful applications. This paper discusses the development of an ontology, its classes, and subclasses that may serve as a foundation for defining and differentiating CAs. Specifically, the four suggested classes include: learning, intelligence, autonomy, and communication. Various assistants are described and categorized using the proposed system. Our novel ontological framework is the first step towards a classification system for this burgeoning field.

Keywords

Artificial intelligenceCase studyOntologiesCognitive Assistants
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 2637 - 2646
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Anderson, W. L., et al. (2001), “A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives, abridged edition”.Google Scholar
Bang, H., et al. (2018), “Daphne: An intelligent assistant for architecting earth observing satellite systems”, AIAA Conference Proceedings. Available at: https://arc.aiaa.org/doi/pdf/10.2514/6.2018-1366.Google Scholar
Bateman, J. A., et al. (1990), “A general organization of knowledge for natural language processing: The penman upper model”, Technical report, USC Information Sciences Institute.Google Scholar
Bernard, Z. (2018), “Markets Insider”, in, Available at: https://markets.businessinsider.com/news/stocks/smart-speakers-are-taking-off-with-consumers-charts-2018-4-1021723081.Google Scholar
Berry, P., et al. (2017), “Evaluating intelligent knowledge systems: experiences with a user-adaptive assistant agent”, Knowledge and Information Systems. Springer London, Vol. 52 No. 2, pp. 379–409. http://doi.org/10.1007/s10115-016-1011-3Google Scholar
Boost (2018), “boost.ai”, in. Available at: https://www.boost.ai/technology/.Google Scholar
Buchanan, B., Sutherland, G. and Feigenbaum, A. E. (1966), “Heuristic DENDRAL: A program for generating explanatory hypotheses in organic chemistry”, Available at: https://profiles.nlm.nih.gov/ps/access/BBABKI.ocr.Google Scholar
Bush, V. (1966), “Memex revisited”, Science Is Not Enough.Google Scholar
Champin, P.-A. (2003), “ARDECO: an assistant for experience reuse in Computer Aided Design”, Workshop from Structured Cases to Unstructured Problem Solving Episodes - WS 5 of ICCBR'03, Trondheim (NO), pp. 287–294. Available at: http://liris.cnrs.fr/∼pchampin/publis/iccbr2003c.pdf.Google Scholar
Chang, X. and Rai, R. (2010), “Development and utilization of ontologies in design for manufacturing”, Journal of Mechanical Design, Vol. 132 No. 2. Available at: http://computingengineering.asmedigitalcollection.asme.org/article.aspx?articleid=1472631.Google Scholar
Coronado, M., et al. (2018), “A cognitive assistant for learning java featuring social dialogue”, International Journal of Human-Computer Studies, Vol. 117. http://doi.org/10.1016/j.ijhcs.2018.02.004Google Scholar
Dorais, G., et al. (1999), “Adjustable autonomy for human-centered autonomous systems on mars”, Working notes of the Sixteenth International Joint Conference on Artificial Intelligence Workshop on Adjustable Autonomy Systems, pp. 16–35.Google Scholar
Dunjko, V., et al. (2016), “Quantum-enhanced machine learning”, Available at: https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.117.130501.Google Scholar
Engelbart, D. C. (1962), “Augmenting human intellect: A conceptual framework”, Available at: https://www.dougengelbart.org/pubs/augment-3906.html (Accessed: 23 July 2018).Google Scholar
Ferguson, G., et al. (2010), “Towards a personal health management assistant”, Journal of biomedical informatics, Vol. 43(5 Suppl), pp. S13–S16. http://doi.org/10.1016/j.jbi.2010.05.014Google Scholar
Garcia-Serrano, M. A., Martinez, P. and Hernandez, Z. J. (2004), “Using AI techniques to support advanced interaction capabilities in a virtual assistant for e-commerce”, Expert systems with applications, Vol. 26 No. 3, pp. 413–426. Available at: https://www.sciencedirect.com/science/article/pii/S0957417403001726.Google Scholar
Gatti-Petito, J., et al. (2013), “Clinical scholarship and adult learning theory: A role for the DNP in nursing education”, Nursing Education Perspectives, Vol. 34 No. 4. Available at: https://journals.lww.com/neponline/Fulltext/2013/07000/Clinical_Scholarship_and_Adult_Learning_Theory__A.14.aspx.Google Scholar
Goksu, I. and Gulcu, A. (2016), “The Evaluation of the cognitive learning process of the renewed bloom taxonomy using a web based expert system”, TOJET: The Turkish Online Journal of Educational Technology, Vol. 15 No. 4.Google Scholar
Goodrich, A. M., et al. (2001), “Experiments in adjustable autonomy”, Proceedings of IJCAI Workshop on autonomy, delegation and control: interacting with intelligent agents. American Association for Artificial Intelligence Press.Google Scholar
Hatchuel, A. and Weil, B. (2009), “C-K design theory: An advanced formulation”, Research in Engineering Design, Vol. 19 No. 4, pp. 181–192. http://doi.org/10.1007/s00163-008-0043-4Google Scholar
Hauswald, J., Laurenzano, A. M. and Zhang, Y. (2015), “Sirius: An open end-to-end voice and vision personal assistant and its implications for future warehouse scale computers”, Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 223–238. Available at: https://dl.acm.org/citation.cfm?id=2694347.Google Scholar
Herron, J. (2017), “Intelligent Agents for the Library”, Journal of Electronic Resources in Medical Libraries. Routledge, Vol. 14 No. 3–4, pp. 139–144. http://doi.org/10.1080/15424065.2017.1367633Google Scholar
Jäger, G. and Rogers, J. (2012), “Formal language theory: refining the Chomsky hierarchy”, Philosophical Transactions of the Royal Society B, Vol. 367 No. 1598.Google Scholar
Kazanas, C. H. and Chawhan, R. A. (1975), “Effects of two treatments on cognitive achievement of students varying in problem-solving ability”, The Journal of Educational Research, Vol. 68 No. 7, pp. 269–273.Google Scholar
Kumar, R. and Rasal, A. (2018), “Smart speaker market by intelligent virtual assistant (amazon alexa, google assistant, siri, cortana, and others), end user (personal and commercial), distribution channel (online and offline), and price (low, mid, and premium) - global opportunity analys”, Allied Market Research.Google Scholar
Kuznar, D., et al. (2014), “Virtual assistant platform”, An International Journal of Computing and Informatics, Vol. 40 No. 3. Available at: http://www.informatica.si/ojs-2.4.3/index.php/informatica/article/view/1437.Google Scholar
Le, N.-T. and Wartschinski, L. (2018), “A cognitive assistant for improving human reasoning skills”, International Journal of Human-Computer Studies, Vol. 117. http://doi.org/10.1016/j.ijhcs.2018.02.005Google Scholar
Li, F. (2009), “An intelligent assistant design system based on CBR and MAS”, 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design. IEEE. Available at: https://ieeexplore.ieee.org/abstract/document/5375257/.Google Scholar
Liu, G. (2008), “The application of intelligent agents in libraries: a survey”, Program, Vol. 45 No. 1, pp. 78–97. Available at: https://www.emeraldinsight.com/doi/abs/10.1108/00330331111107411.Google Scholar
Lodhi, P., et al. (2018), “StuA: An Intelligent Student Assistant”, IJIMAI Journal, pp. 1–9.Google Scholar
Myers, K., et al. (2007), “An intelligent personal assistant for task and time management”, AI Magazine, Vol. 28 No. 2, pp. 47–62. http://doi.org/10.1609/aimag.v28i2.2039Google Scholar
NHTSA (no date), “United States Department of Transportation”, in.Google Scholar
Nkhoma, Z. M., et al. (2017), “Unpacking the revised Bloom's taxonomy: developing case-based learning activities”, Education & Training, Vol. 59 No. 3.Google Scholar
NSF (2015), “Intelligent cognitive assistants”.Google Scholar
Perez, S. (2018), “Tech crunch”, in. Available at: https://techcrunch.com/2017/07/11/siri-usage-and-engagement-dropped-since-last-year-as-alexa-and-cortana-grew/.Google Scholar
Reddy, M. P. (2000), “Mobile agents”, Resonance, Vol. 7 No. 2. Available at: https://link.springer.com/article/10.1007/BF02836751.Google Scholar
Richard, J. G. (2001), The Source for Processing Disorders. LinguiSystems, Inc.Google Scholar
Rincon, J., et al. (2018), “A new emotional robot assistant that facilitates human interaction and persuasion”, Knowledge and Information Systems. Springer London, pp. 1–21. http://doi.org/10.1007/s10115-018-1231-9Google Scholar
Roberts, N. (1976), “Further verification of bloom's taxonomy”, The Journal of Experimental Education, Vol. 45 No. 1, pp. 16–19.Google Scholar
Russell, J. S. and Norvig, P. (2015), “Artificial intelligence: a modern approach”, Pearson. Available at: http://thuvien.thanglong.edu.vn:8081/dspace/handle/DHTL_123456789/4010.Google Scholar
Saghir, B. and Crespi, N. (2007), “An intelligent assistant for context-aware adaptation of personal communications”, 2007 IEEE Wireless Communications and Networking Conference. IEEE. Available at: https://ieeexplore.ieee.org/iel5/4204175/4204176/04204648.pdf.Google Scholar
Samuel, L. A. (1959), “Some studies in machine learning using the game of checkers”, IBM Journal, pp. 535–554.Google Scholar
Santos, J. and Rodrigues, C. J. J. P. (2013), “Intelligent personal assistants based on internet of things approaches”, IEEE Systems Journal, Vol. 12 No. 2. Available at: https://ieeexplore.ieee.org/abstract/document/7473837/.Google Scholar
Schwark, D. J. (2015), “Toward a taxonomy of affective computing”, International Journal of Human-Computer Interaction, Vol. 31 No. 11, pp. 761–768.Google Scholar
Shen, W., Norrie, D. H. and Barthès, J.-P. A. (2010), “Multi-agent systems for concurrent intelligent design and manufacturing”, Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing. http://doi.org/10.4324/9780203305607Google Scholar
Shortliffe, H.E. (1975), “MYCIN: Computer-based medical consultations”.Google Scholar
Soulsby, D. (2006), “Gagne's hierarchical theory of learning: Some conceptual difficulties”, The Journal of Curriculum Studies, pp. 122–132. Available at: https://www.tandfonline.com/doi/pdf/10.1080/0022027750070204.Google Scholar
Weizenbaum, J. (1966), “ELIZA-computer program for the study of natural language communication between man and machine”, Communications of the ACM, Vol. 9 No. 1, pp. 36–45. Available at: https://dl.acm.org/citation.cfm?id=365168.Google Scholar
White, T. R. (1973), “Research into learning hierarchies”, Review of Educational Research, Vol. 43 No. 3, pp. 361–375. Available at: http://journals.sagepub.com/doi/pdf/10.3102/00346543043003361.Google Scholar
Wiest, G. (2012), “Neural and mental hierarchies”, Frontiers in Psychology, Vol. 3.Google Scholar
Wu, S., et al. (2006), “Personal assistant agents for collaborative design environments”, Computers in Industry. http://doi.org/10.1016/j.compind.2006.04.010Google Scholar