Suchergebnisse

Getting a good estimation of the Interaction Quality (IQ) of a spoken dialogue helps to increase the user satisfaction as the dialogue strategy may be adapted accordingly. Therefore, some research has already been conducted in order to automatically estimate the Interaction Quality. This paper adds to this by describing how Recurrent Neural Networks may be used to estimate the Interaction Quality for each dialogue turn and by evaluating their performance on this task. Here, we will show that RNNs may outperform non-recurrent neural networks. ; This paper is part of a project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 645012.

Comunicació presentada a: 8th International Workshop On Spoken Dialogue Systems (IWSDS), celebrat del 6 al 9 de juny a Farmington, Estats Units. ; In this paper, we investigate the applicability of soft changes to the system behaviour, namely changing the amount of elaborateness and indirectness displayed. To this end, we examine the impact of elaborateness and indirectness on the perception of human-computer communication in a user study. Here, we show that elaborateness and indirectness influence the user's impression of a dialogue and discuss the implications of our results for adaptive dialogue management. We conclude that elaborateness and indirectness offer valuable possibilities for adaptation and should be incorporated in adaptive dialogue management. ; This paper is part of a project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 645012.

Comunicació presentada a: INLG 2016 Workshop on Computational Creativity and Natural Language Generation, celebrat a Edinburgh, Escòcia, del 5 al 8 de setembre de 2016. ; In task-oriented dialogues, there is often only one right answer the system can give. However, a lack of variation can seem repetitive and unnatural. Humans change the way they express something, e.g. by being more or less concise. We aim to approximate this ability by automatically varying the level of verbosity and directness of a given system action. In this work, we illustrate how verbosity and directness may be utilised in adaptive dialogue management and present different approaches to automatically generate varying levels of verbosity and directness for given system actions. Thereby, new and unforeseen system actions can be created dynamically. ; This paper is part of a project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 645012.

Comunicació presentada a: 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue; celebrada del 13 al 15 de setembre de 2016 a Los Angeles, USA ; In this work, we investigate whether the cultural idiosyncrasies found in human human interaction may be transferred to human-computer interaction. With the aim of designing a culture-sensitive dialogue system, we designed a user study creating a dialogue in a domain that has the potential capacity to reveal cultural differences. The dialogue contains different options for the system output according to cultural differences. We conducted a survey among Germans and Japanese to investigate whether the supposed differences may be applied in human-computer interaction. Our results show that there are indeed differences, but not all results are consistent with the cultural models. ; This work is part of a project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 645012. This research and development work was also supported by the MIC/SCOPE #152307004.

This is a preprint of the paper: Benítez-Guijarro A. et al. (2021) Co-creating Requirements and Assessing End-User Acceptability of a Voice-Based Chatbot to Support Mental Health: A Thematic Analysis of a Living Lab Workshop. In: D'Haro L.F., Callejas Z., Nakamura S. (eds) Conversational Dialogue Systems for the Next Decade. Lecture Notes in Electrical Engineering, vol 704. Springer, Singapore. https://doi.org/10.1007/978-981-15-8395-7_15 This preprint follows Springer Self-archiving policy for non-open access books and chapters (https://www.springer. com/gp/open-access/publication-policies/self-archiving-policy): "authors may deposit a portion of the pre-submission version of their manuscript (preprint) in a recognised preprint server (.). Thi ; Mental health and mental wellbeing have become an important factor to many citizens navigating their way through their environment and in the work place. New technology solutions such as chatbots are potential channels for supporting and coaching users to maintain a good state of mental wellbeing. Chatbots have the added value of providing social conversations and coaching 24/7 outside from conventional mental health services. However, little is known about the acceptability and user led requirements of this technology. This paper uses a living lab approach to elicit requirements, opinions and attitudes towards the use of chatbots for supporting mental health. The data collected was acquired from people living with anxiety or mild depression in a workshop setting. The audio of the workshop was recorded and a thematic analysis was carried out. The results are the co-created functional requirements and a number of use case scenarios that can be of interest to guide future development of chatbots in the mental health domain. ; This research has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 823907 (MENHIR: Mental health monitoring through interactive conversations https://menhir-project.eu).