Proceedings ArticleDOI
Wizard of Oz studies: why and how
Nils Dahlbäck,Arne Jönsson,Lars Ahrenberg +2 more
- Vol. 6, Iss: 4, pp 193-200
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TLDR
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.Abstract:
Current approaches to the development of natural language dialogue systems are discussed, and it is claimed that they do not sufficiently consider the unique qualities of man-machine interaction as distinct from general human discourse. It is concluded that empirical studies of this unique communication situation are required for the development of user-friendly interactive systems. One way of achieving this is through the use of so-called Wizard of Oz studies. The focus of the work described in the paper is on the practical execution of the studies and the methodological conclusions drawn on the basis of the authors' experience. While the focus is on natural language interfaces, the methods used and the conclusions drawn from the results obtained are of relevance also to other kinds of intelligent interfaces.read more
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Dissertation
Conception et réalisation logicielles pour les collecticiels centrées sur l'activité de groupe : le modèle et la plate-forme Clover
TL;DR: In this paper, the authors propose a model of architecture for multi-utilisateurs and an infrastructure generique, called Clover, for the developpement des collecticiels centre sur l'humain.
Journal ArticleDOI
The MATCH corpus: a corpus of older and younger users’ interactions with spoken dialogue systems
TL;DR: The MATCH corpus is presented, a unique data set of 447 dialogues in which 26 older and 24 younger adults interact with nine different spoken dialogue systems, which contains information about the users’ cognitive abilities and detailed usability assessments of each dialogue system.
Journal ArticleDOI
An Open Sensing and Acting Platform for Context-Aware Affective Support in Ambient Intelligent Educational Settings
TL;DR: The open platform AICARP v2 is implemented to detect changes in physiological signals that can be associated with stressful situations, and when this happens, it recommends the learner to relax by delivering modulated sensorial support in terms of light, sound, or vibration at a relaxation breath rate.
Posted Content
Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management
TL;DR: In this article, two sample-efficient neural networks algorithms, trust region actor-critic with experience replay (TRACER) and episodic natural actor critic with experience re-play (eNACER), are presented to speed up the learning process.
Journal ArticleDOI
Exploring spatially-aware cross-device interaction techniques for mobile collaborative sensemaking
TL;DR: This work conducted a three-step research study involving a total number of 65 users in 18 groups, in order to propose a composition paradigm that offers three interaction techniques for performing more complex operations, such as forwarding to multiple devices queries or query results or aggregating and visualizing search results across device boundaries.
References
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Journal ArticleDOI
The development of communication skills: modifications in the speech of young children as a function of listener
Marilyn Shatz,Rochel Gelman +1 more
TL;DR: This paper found that the 4-year-old adjusted his speech with regard to the changing capacities of different-aged listeners, and the younger the 2-year old, the greater was the observed speech adjustment.
Journal ArticleDOI
Cross-linguistic differences in parsing: Restrictions on the use of the Late Closure strategy in Spanish ☆
Fernando Cuetos,Don C. Mitchell +1 more
TL;DR: The results throw doubt on the suggestion that the Late Closure strategy is favoured (in English) mainly because it is efficient in information processing terms and suggest that different languages make use of parsing strategies in an essentially arbitrary way.
Journal ArticleDOI
Simulating speech systems
Norman Fraser,Nigel Gilbert +1 more
TL;DR: The “Wizard of Oz” technique for simulating future interactive technology and a partial taxonomy of such simulations is reviewed and a general Wizard of Oz methodology is suggested.