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Sture Hägglund

Researcher at Linköping University

Publications -  19
Citations -  161

Sture Hägglund is an academic researcher from Linköping University. The author has contributed to research in topics: Software & Expert system. The author has an hindex of 5, co-authored 19 publications receiving 161 citations.

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Contributions to the development of methods and tools for interactive design of applications software

TL;DR: A generalized framework for dialogue design is presented and the implementation of customized programming environments, supporting computer utilization for specific applications is discussed.
Journal ArticleDOI

Communication knowledge for knowledge communication

TL;DR: The concept of “communication knowledge”, distinct from the domain knowledge, is emphasized, and three aspects of communication knowledge are identified and research related to them presented.
OtherDOI

The Industry Doctoral Student : An educational challenge for academia and industry

TL;DR: In this article, the authors examine the conditions and mechanisms conducive to creativity in both private and public institutions, and identify which work environments appear to best stimulate the creation of knowledge, including a discussion of the policy implications and an agenda for future research.
Journal ArticleDOI

Introducing expert critiquing systems

TL;DR: Expert critiquing systems as mentioned in this paper emphasize the support for the user's own decision-making rather than to let the system independently suggest a solution to a given problem, which is an interesting and important complement to conventional expert systems.
Book ChapterDOI

Effortless Data Capture for Ambient E-Services with Digital Pen and Paper Technology

TL;DR: In this chapter, the authors will describe technologies for using digital pen and paper as data input media for e-services and computing applications, refer a number of applications together with studies and evaluations of their usability, and comment upon future prospects for integrating digital pen-and- paper as an effortless technique for data capture.