Mariët  Theune

Dr. Mariët Theune


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2005 in Computational Linguistics
Verified
Journal Article
Closed access
KDKees van Deemter
Kees van Deemter
MTMariët Theune
Mariët Theune
EKEmiel Krahmer
Emiel Krahmer
This paper challenges the received wisdom that template-based approaches to the generation of language are necessarily inferior to other approaches as regards their maintainability, linguistic well-foundedness and quality of output. Some recent NLG systems that call themselves `templatebased' will illustrate our claim

19 June 2006 in IEEE Transactions on Audio, Speech, and Language Processing
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Journal Article
Closed access
MTMariët Theune
Mariët Theune
KMK. Meijs
K. Meijs
DHD. Heylen
D. Heylen
ROR. Ordelman
R. Ordelman
Work on expressive speech synthesis has long focused on the expression of basic emotions. In recent years, however, interest in other expressive styles has been increasing. The research presented in this paper aims at the generation of a storytelling speaking style, which is suitable for storytelling applications and more in general, for applications aimed at children. Based on an analysis of human storytellers' speech, we designed and implemented a set of prosodic rules for converting "neutral" speech, as produced by a text-to-speech system, into storytelling speech. An evaluation of our storytelling speech generation system showed encouraging results

1 January 2006
Verified
Book Chapter
Closed access
PDF file
ISIvo Swartjes
Ivo Swartjes
MTMariët Theune
Mariët Theune

28 November 2018
Verified
Conference Paper
Open access
PDF file
JKJan Kolkmeier
Jan Kolkmeier
EHEmiel Harmsen
Emiel Harmsen
SGSander Giesselink
Sander Giesselink
DRDennis Reidsma
Dennis Reidsma
MTMariët Theune
Mariët Theune
DHDirk Heylen
Dirk Heylen

7 February 2010
Verified
Conference Paper
Open access
PDF file
YCYujia Cao
Yujia Cao
AMAngela Mahr
Angela Mahr
SCSandro Castronovo
Sandro Castronovo
MTMariët Theune
Mariët Theune
CSChristoph Stahl
Christoph Stahl
CMChristian A. Müller
Christian A. Müller
Local danger warning is an important function of Advanced Driver Assistance Systems (ADAS) to improve the safety of driving. The user interface (the warning presentation) is particularly crucial to a successful danger avoidance. We present a user study investigating various warning presentations using a scenario of emergent road obstacles. Two presentation factors were selected: modality and level of assistance. The modality factor had 4 variants: speech warning, visual and speech warning, visual warning with blinking cue, and visual warning with sound cue. The level of assistance varied between with or without action suggestions (AS). In accordance with the ISO usability model, a total of 6 measurements were derived to assess the effectiveness and efficiency of the warnings and the drivers’ satisfaction. Results indicate that the combination of speech and visual modality leads to the best performance as well as the highest satisfaction. In contrast, purely auditory and purely visual modalities were both insufficient for presenting high-priority warnings. AS generally improved the usability of the warnings especially when they were accompanied by supporting information so that drivers could validate the suggestions

11 November 2010
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Conference Paper
Open access
PDF file
YCYujia Cao
Yujia Cao
FSFrans van der Sluis
Frans van der Sluis
MTMariët Theune
Mariët Theune
RARieks Op Den Akker
Rieks Op Den Akker
ANAnton Nijholt
Anton Nijholt
As in-vehicle information systems are increasingly able to obtain and deliver information, driver distraction becomes a larger concern. In this paper we propose that informative interruption cues (IIC) can be an effective means to support drivers’ attention management. As a first step, we investigated the design and presentation modality of IIC that conveyed not only the arrival but also the priority level of a message. Both sound and vibration cues were created for four different priority levels and tested in 5 task conditions that simulated possible perceptional and cognitive load in real driving situations. Results showed that the cues were quickly learned, reliably detected, and quickly and accurately identified. Vibration was found to be a promising alternative for sound to deliver IIC, as vibration cues were identified more accurately and interfered less with driving. Sound cues also had advantages in terms of shorter response time and more (reported) physical comfort