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Kurfess, Franz
Cal Poly SLO
San Luis Obispo, California
 
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Franz J. Kurfess joined the Computer Science Department of California Polytechnic State University in the summer of 2000, after a short stay with Concordia University in Montreal, Canada, and a longer stay with the New Jersey Institute of Technology. Before that, he spent some time with the University of Ulm, Germany, as a postdoc at the International Computer Science Institute in Berkeley, CA, and at the Technical University in Munich, where he obtained his MS and PhD in Computer Science.

At Cal Poly, he is the coordinator of the human-computer interaction lab, and teaches courses in the areas of artificial intelligence, knowledge-based systems, user-centered design and development, and human-computer interaction. His main areas of research are artificial intelligence and human-computer interaction, with particular interest in the usability and interaction aspects of knowledge-intensive systems. He is currently investigating a framework for the analysis of “interaction spaces,” consisting of the physical space where interaction between humans and computational systems takes place, and a conceptual space delineated between the shared communication channels, symbol systems, vocabularies and languages, and the conceptual model of the domain and the world. So far, humans have been able to accommodate the limitations of computational systems concerning such interactions fairly well. When expanding interaction to situations where robots (or computational systems in general) have to communicate with other robots, it becomes much more critical to have a coherent framework for interaction in place.

 
 
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- 6 of 6 reviews

   
   Inclusive design for a digital world: designing with accessibility in mind
Gilbert R., Apress, New York, NY, 2019. 272 pp.  Type: Book (978-1-484250-15-0)

Having taught courses in user-centered design (UCD) and human-computer interaction (HCI) for over 20 years, I am familiar with both the history of the field and the methods and tools currently in use. On several occasions, I’...

Sep 7 2021  
   Image processing techniques for detecting and classification of plant disease: a review
Hungilo G., Emmanuel G., Emanuel A.  IMIP 2019 (Proceedings of the 2019 International Conference on Intelligent Medicine and Image Processing, Bali, Indonesia, Apr 19-22, 2019) 48-52, 2019.  Type: Proceedings

For experienced farmers and biologists, detecting and identifying plant diseases is usually fairly straightforward: they are familiar with the most common problems related to their crops and can use visual inspection, possibly in combi...

Mar 9 2020  
   Guidelines for human-AI interaction
Amershi S., Weld D., Vorvoreanu M., Fourney A., Nushi B., Collisson P., Suh J., Iqbal S., Bennett P., Inkpen K., Teevan J., Kikin-Gil R., Horvitz E.  CHI 2019 (Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Glasgow, UK, May 4-9, 2019) 1-13, 2019.  Type: Proceedings

From a human-computer interaction (HCI) perspective, the arrival of virtual assistants (for example, Alexa, Siri, Google Assistant, and Bixby) has led to a shift in interaction mode from visual to speech-based: instead of manipulating ...

Jun 20 2019  
   Systematic automation of scenario-based testing of user interfaces
Campos J., Fayollas C., Martinie C., Navarre D., Palanque P., Pinto M.  EICS 2016 (Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, Brussels, Belgium, Jun 21-24, 2016) 138-148, 2016.  Type: Proceedings

In May 2016, the driver of a Tesla Model S equipped with the autopilot feature was killed when his vehicle crashed into a tractor-trailer [1]. Tesla confirmed that the vehicle’s autopilot was active and that its brakes were n...

Aug 18 2016  
   Texterra: a framework for text analysis
Turdakov D., Astrakhantsev N., Nedumov Y., Sysoev A., Andrianov I., Mayorov V., Fedorenko D., Korshunov A., Kuznetsov S. Programming and Computing Software 40(5): 288-295, 2014.  Type: Article

Turdakov et al. describe the Texterra framework developed at the Institute for System Programming (ISP) of the Russian Academy of Sciences (RAS). Texterra’s intended use is for multi-language text analysis using knowledge ext...

Jan 8 2015  
   Unsupervised information extraction by text segmentation
Cortez E., da Silva A., Springer Publishing Company, Incorporated, New York, NY, 2013. 124 pp.  Type: Book (978-3-319025-96-4)

The typical result from a web search is still a ranked list of documents that may contain the information you’re looking for, but it is up to the user to actually extract the sought-after information. In order for search engi...

Apr 22 2014  
 
 
 
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