| 1. |
- Pakucs, Botond
(author)
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Butler : A universal speech interface for mobile environments
- 2004
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In: MOBILE HUMAN-COMPUTER INTERACTION. - BERLIN : SPRINGER. - 3540230866 ; , s. 399-403
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Conference paper (peer-reviewed)abstract
- Speech interfaces are about to be integrated in consumer appliances and embedded systems and are expected to be used by mobile users in ubiquitous computing environments. This paper discusses some major usability and HCI related problems that may be introduced by this development. It is argued that a human-centered approach should be employed when designing and developing speech interfaces for mobile environments. Further, the Butler, a generic spoken dialogue system developed according to the human-centered approach is described. The Butler features a dynamic multi-domain approach.
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| 2. |
- Sjölund, Micael, et al.
(author)
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Smartphone views : Building multi-device distributed user interfaces
- 2004
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In: Mobile Human-Computer Interaction - MobileHCI 2004. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783540230861 - 9783540286370 - 3540230866 ; , s. 507-511
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Book chapter (peer-reviewed)abstract
- This paper introduces a prototype of a distributed user interface (DUI) on dual devices, a workstation and a Windows Mobile-powered smartphone. By porting the XML-compliant GUT system Views to the smartphone platform, we explore one possibility of distributing CUT components among heterogeneous devices. We describe problems and conclusions from designing and implementing the system.
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| 3. |
- Tollmar, Konrad, et al.
(author)
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IDeixis - Searching the Web with mobile images for location-based information
- 2004
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In: MOBILE HUMAN-COMPUTER INTERACTION - MOBILEHCI 2004, PROCEEDINGS. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 3540230866 ; 3160, s. 288-299
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Conference paper (peer-reviewed)abstract
- In this paper we describe an image-based approach to finding location-based information from camera-equipped mobile devices. We introduce a point-by-photograph paradigm, where users can specify a location simply by taking pictures. Our technique uses content-based image retrieval methods to search the web or other databases for matching images and their source pages to find relevant location-based information. In contrast to conventional approaches to location detection, our method can refer to distant locations and does not require any physical infrastructure beyond mobile internet service. We have developed a prototype on a camera phone and conducted user studies to demonstrate the efficacy of our approach.
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