Bob Wielinga mainly focuses on Robot, Human–computer interaction, Human–robot interaction, Set and Simulation. He combines Human–computer interaction and Elderly people in his research. His study in Human–robot interaction is interdisciplinary in nature, drawing from both Cognitive psychology and Adaptation.
His work carried out in the field of Set brings together such families of science as Domain model, Interface, Software engineering and Wizard of Oz experiment. The various areas that Bob Wielinga examines in his Knowledge-based systems study include Domain and Domain knowledge. His study in the field of Chunking, Model-based reasoning and Knowledge acquisition is also linked to topics like Structuring and Social behaviour.
The scientist’s investigation covers issues in Knowledge management, Artificial intelligence, Information retrieval, Knowledge acquisition and Software engineering. His biological study spans a wide range of topics, including Domain and Structure. He has included themes like Machine learning and Natural language processing in his Artificial intelligence study.
His research integrates issues of Annotation and World Wide Web in his study of Information retrieval. His World Wide Web research incorporates themes from Event and Multimedia. His studies in Software engineering integrate themes in fields like The Internet, Deliverable and Knowledge-based systems.
Bob Wielinga mainly investigates Robot, World Wide Web, Knowledge management, Human–robot interaction and Information retrieval. His Robot research integrates issues from Human–computer interaction and Set. His work in the fields of Thesaurus and Web mining overlaps with other areas such as Cultural heritage.
His Knowledge management research is multidisciplinary, incorporating elements of Domain, Search and rescue, Task, Structure and Control. His study looks at the intersection of Human–robot interaction and topics like Cognitive psychology with Artificial intelligence. His studies deal with areas such as Usability and Adaptation as well as Social relation.
Bob Wielinga focuses on Human–robot interaction, Social robot, Robot, Human–computer interaction and Cognitive psychology. Bob Wielinga undertakes interdisciplinary study in the fields of Human–robot interaction and Test through his works. His work on Human–computer interaction is being expanded to include thematically relevant topics such as Multimedia.
The concepts of his Cognitive psychology study are interwoven with issues in Situational ethics and Artificial intelligence. His Artificial intelligence research is multidisciplinary, relying on both Correlation and Set. His research in Social relation intersects with topics in Usability and Adaptation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model
Marcel Heerink;Ben J. A. Kröse;Vanessa Evers;Bob J. Wielinga.
International Journal of Social Robotics (2010)
CommonKADS: a comprehensive methodology for KBS development
G. Schreiber;B. Wielinga;R. de Hoog;H. Akkermans.
IEEE Intelligent Systems (1994)
KADS : a principled approach to knowledge-based system development
Guus Schreiber;Bob Wielinga;Joost Breuker.
Ontology-based photo annotation
A.T. Schreiber;B. Dubbeldam;J. Wielemaker;B. Wielinga.
IEEE Intelligent Systems (2001)
The effects of transparency on trust in and acceptance of a content-based art recommender
Henriette Cramer;Vanessa Evers;Satyan Ramlal;Maarten Someren.
User Modeling and User-adapted Interaction (2008)
Semantic Annotation of Image Collections
L. Hollink;A.T. Schreiber;J. Wielemaker;B.J. Wielinga.
Knowledge Capture 2003 -- Proceedings Knowledge Markup and Semantic Annotation Workshop (2003)
The KACTUS View on the 'O' word
A.T. Schreiber;B.J. Wielinga;W.N.H. Jansweijer;A.A. Anjewierden.
international joint conference on artificial intelligence (1995)
Configuration-design problem solving
B. Wielinga;G. Schreiber.
IEEE Intelligent Systems (1997)
The unified problem-solving method development language UPML
Dieter Fensel;Enrico Motta;Frank van Harmelen;V. Richard Benjamins.
Knowledge and Information Systems (2003)
Measuring acceptance of an assistive social robot: a suggested toolkit
Marcel Heerink;Ben Krose;Vanessa Evers;Bob Wielinga.
robot and human interactive communication (2009)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: