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Nils Dahlbäck

Researcher at Linköping University

Publications -  54
Citations -  1945

Nils Dahlbäck is an academic researcher from Linköping University. The author has contributed to research in topics: Natural language & Natural language user interface. The author has an hindex of 18, co-authored 54 publications receiving 1881 citations. Previous affiliations of Nils Dahlbäck include Swedish Institute of Computer Science & Stockholm University.

Papers
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Proceedings ArticleDOI

Wizard of Oz studies: why and how

TL;DR: It is concluded that empirical studies of the unique qualities of man-machine interaction as distinct from general human discourse are required for the development of user-friendly interactive systems.
Journal ArticleDOI

A glass box approach to adaptive hypermedia

TL;DR: This work presents an example of an adaptive hypertext help system POP, which is being built according to these principles, and discusses the design considerations and empirical findings that lead to this design.
Journal ArticleDOI

An Evaluation of Space Time Cube Representation of Spatiotemporal Patterns

TL;DR: A between-subjects experiment comparing novice users' error rates and response times when answering a set of questions using either space time cube or a baseline 2D representation provides an empirical foundation for the hypothesis that space time Cube representation benefits users analyzing complex spatiotemporal patterns.
Proceedings Article

Talking to a Computer Is Not like Talking to Your Best Friend.

TL;DR: A set of tools for conducting human-computer natural language dialogue simulations (Wizard of Oz experiments) and for analyzing the data obtained are developed and methods used and results obtained show the need for mechanisms for handling connected discourse in interfaces for this user group.
Book

Representations of discourse : cognitive and computational aspects

TL;DR: In this paper, cognitive and computational aspects of discourse representations have been studied in the context of natural language processing and natural language inference, with a specific aim to contribute to the development of NLP.