Human-Computer Interaction: Ergonomics and User Interfaces - Vol. 1

By Hans-Jörg Bullinger; Jürgen Ziegler | Go to book overview
Save to active project

4
Conclusions

The MBAUM framework and its application to the ELFI system show that a combination of usage modelling (realised by applying a novel neuro-fuzzy algorithm) and user modelling, of mentalistic assumptions and behaviouroriented assumptions is possible. Moreover, this combination is beneficial in the sense that it allows for rich user-adaptivity, related to both individualisation of the user interface and personalization of system functionality. This means an important improvement over previous approaches focusing on only one aspect of adaptivity. Further developments include refinement of MBAUM components and implementations in other application systems. Special attention will be paid to forecasting of user action sequences and to adaptive help.


6
References

Davidson, B. D. & Hirsh, H. ( 1998). "Probabilistic online action prediction". AAAI Spring Symposium on Intelligent Environments.

Maes, P. ( 1994). "Agents that reduce work and information overload". Communications of the ACM, 37( 7), 31-40.

Miller, G. A.( 1956), "The magical number seven plus or minus two", Psychological Review, 63, 81-87.

Nikov, A., Delichev, S. & Stoeva, S. ( 1997). "An neuro-fuzzy approach for user interface adaptation implemented in the information system of Bulgarian parliament", In Sepälä, P. Luopajärvi, T. Nygård, C. & Mattila, M. (Eds.): Human computer-interaction, Stress and mental load, Aging, Occupational health (Vol. 1) Proc. 13th International Ergonomics Congress, (IEA'97, Tampere, Finland, June 29 - July 4, 1997), pp. 100-112. Helsinki: Finnish Institute of Occupational Health.

Pohl, W. ( 1997). "LaboUr -- Machine learning for user modelling. In Smith", M. J. et al. (Eds.): Proc. of HCI International '97, Vol. B, pp. 27-31. Amsterdam: Elsevier Science.

Pohl, W. ( 1998). "Logic-Based Representation and Reasoning for User Modelling Shell Systems". St. Augustin, Germany: infix.

Stoeva, S. & Nikov, A. ( 1999). "A fuzzy backpropagation algorithm". Fuzzy Sets and Systems, accepted for publication.

-340-

Notes for this page

Add a new note
If you are trying to select text to create highlights or citations, remember that you must now click or tap on the first word, and then click or tap on the last word.
Loading One moment ...
Project items
Notes
Cite this page

Cited page

Style
Citations are available only to our active members.
Sign up now to cite pages or passages in MLA, APA and Chicago citation styles.

Cited page

Bookmark this page
Human-Computer Interaction: Ergonomics and User Interfaces - Vol. 1
Table of contents

Table of contents

Settings

Settings

Typeface
Text size Smaller Larger
Search within

Search within this book

Look up

Look up a word

  • Dictionary
  • Thesaurus
Please submit a word or phrase above.
Print this page

Print this page

Why can't I print more than one page at a time?

While we understand printed pages are helpful to our users, this limitation is necessary to help protect our publishers' copyrighted material and prevent its unlawful distribution. We are sorry for any inconvenience.
Full screen
/ 1356

matching results for page

Cited passage

Style
Citations are available only to our active members.
Sign up now to cite pages or passages in MLA, APA and Chicago citation styles.

Cited passage

Welcome to the new Questia Reader

The Questia Reader has been updated to provide you with an even better online reading experience.  It is now 100% Responsive, which means you can read our books and articles on any sized device you wish.  All of your favorite tools like notes, highlights, and citations are still here, but the way you select text has been updated to be easier to use, especially on touchscreen devices.  Here's how:

1. Click or tap the first word you want to select.
2. Click or tap the last word you want to select.

OK, got it!

Thanks for trying Questia!

Please continue trying out our research tools, but please note, full functionality is available only to our active members.

Your work will be lost once you leave this Web page.

For full access in an ad-free environment, sign up now for a FREE, 1-day trial.

Already a member? Log in now.

Are you sure you want to delete this highlight?