Abstract
Intelligent interfaces have moved into the mainstream, but often using black-box algorithms that even the developers, let alone the users can understand. Human-like computing is about making algorithms closer to the way humans' think in order to improve the algorithms and/or improve the experience for the user. This paper discusses issues raised during a recent EPSRC workshop in the UK and explores the implications for HCI and smart environments.
Keywords: Human-like computing, intelligent interfaces, low-intention interaction, HCI.
References
-
Bienkowski, M., Feng, M. and Means B. (2012). Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief, U.S. Department of Education, http://www.ed.gov/edblogs/technology/files/2012/03/edm-la-brief.pdf
-
Buckingham Shum, S. (2012) Learning Analytics. UNESCO Policy Brief. Available from http://iite.unesco.org/pics/publications/en/files/3214711.pdf (2 February 2015).
-
Clark, A. (1989). Microcognition,: Philosophy, Cognitive Science and Parallel Processing. MIT Press
-
Clark, A. (1998). Being There: Putting Brain, Body and the World Together Again. MIT Press. https://mitpress.mit.edu/books/being-there
-
Dix, A. (1992). Human issues in the use of pattern recognition techniques. In Neural Networks and Pattern Recognition in Human Computer Interaction Eds. R. Beale and J. Finlay. Ellis Horwood. 429-451. http://www.hcibook.com/alan/papers/neuro92/
-
Dix, A. and Patrick, A. (1994). Query By Browsing. Proceedings of IDS’94: The 2nd International Workshop on User Interfaces to Databases, Ed. P. Sawyer. Lancaster, UK, Springer Verlag. 236-248.
-
Dix, A. (2002). Beyond Intention - pushing boundaries with incidental interaction. Proceedings of Building Bridges: Interdisciplinary Context-Sensitive Computing, Glas-gow University, 9 Sept 2002. http://alandix.com/academic/papers/beyond-intention-2002/
-
Dix, A. (2005). the brain and the web – a quick backup in case of accidents. Interfaces, 65, pp. 6-7. Winter 2005. http://alandix.com/academic/papers/brain-and-web-2005/
-
Dix, A..(2005b). The adaptive significance of regret. (unpublished essay, 2005) http://alandix.com/academic/essays/regret.pdf
-
Dix, A., Katifori, A., Lepouras, G., Vassilakis, C. and Shabir, N. (2010). Spreading Activation Over Ontology-Based Resources: From Personal Context To Web Scale Reasoning. Internatonal Jnl. of Semantic Comp., 4(1). 59–102. http://www.hcibook.com/alan/papers/web-scale-reasoning-2010/
-
Dix, A. (2011). A shifting boundary: the dynamics of internal cognition and the web as external representation. In Proc. WebSci '11. ACM, Article 9. http://alandix.com/academic/papers/websci2011-int-ext-cog/
-
Dix, A. (2015). REF Redux 6 — Reasons and Remedies. 25th Sept 2016. http://alandix.com/blog/2015/09/25/ref-redux-6/ (retr. 10/6/2016)
-
Dix, A. (2016). Human-Like Computing. http://alandix.com/blog/2016/02/23/human-like-computing/ (retr. 10/6/2016).
-
Dix, A. (2017). Activity modelling for low-intention interaction. in The Handbook on Formal Methods in Human Computer Interaction. Springer (forthcoming).
-
EPSRC (2016). Human-Like Computing Handbook. Engineering and Physical Sciences Research Council. 17–18 February 2016
-
Ferrucci, D., et al. (2010). "Building Watson: An Overview of the DeepQA Project," AI Mag., vol. 31, no. 3, pp. 59-79, Fall 2010. DOI: 10.1609/aimag.v31i3.2303
-
Ferrucci, D. (2012).. Introduction to "This is Watson". IBM J. Res. Dev. 56, 3 (May 2012), 235-249. DOI: 10.1147/JRD.2012.2184356
-
Flood, A. (2016). Robots could learn human values by reading stories, research suggests. The Guardian, http://www.theguardian.com/books/2016/feb/18/robots-could-learn-human-values-by-reading-stories-research-suggests
-
Gray, W. and Fu, W. (2001). Ignoring perfect knowledge in-the-world for imperfect knowledge in-the-head. In Proc. of CHI '01. ACM, 112–119.
-
Halevy, A. Norvig, P. and Pereira, F. (2009). The Unreasonable Effectiveness of Data. IEEE Intelligent Systems 24, 2 (March 2009), 8-12.
-
Hawking, S., Russell, S., Tegmark. M. and Wilczek, F. (2014). Transcendence looks at the implications of artificial intelligence - but are we taking AI seriously enough? The Independent, Thursday 01 May 2014.
-
Katifori, A.. Vassilakis, C. and A. Dix, A. (2010). Ontologies and the Brain: Using Spreading Activation through Ontologies to Support Personal Interaction. Cog. Sys Research, 11. 25–41. http://alandix.com/academic/papers/Ontologies-and-the-Brain-2010/
-
Newell, A. (1990). Unified Theories of Cognition. Harvard University Press, Cambridge, MA, USA.
-
Peiris, D. (1997). Computer interviews: enhancing their effectiveness by simulating interpersonal techniques. PhD Thesis, University of Dundee. http://virtual.inesc.pt/rct/show.php?id=56
-
Silver, D., et al. (2016). Mastering the game of Go with deep neural networks and tree search. Nature, 529(7587) 484–489.
-
Weizenbaum, J. (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Commun. ACM 9, 1 (January 1966), 36-45.
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