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Competent negotiation with simulated patients can save expenses in medical education and improve outcomes for all parties involved. The use of simulated agents is beneficial for a study of human behaviour and cognition due to the possibility to create and manage a wide range of specific social situations. Building plausible cognitive models underlying the agent’s intelligent behaviour from scratch is challenging and costly. Interaction designers and cognitive engineers require sufficient background knowledge to decide which domain information, resources and activities are important. Domain experts require sufficient understanding of human interaction and social cognition. All may lack advanced software development skills and an access to sufficient amount of authentic data. This paper presents a methodology to author cognitive agents and interactions with them. Authors can easily encode agents’ knowledge and equip them with different sets of preferences and decision making strategies. This offers abundant opportunities for various social simulations: to create and control situations in which doctor’s decision making and negotiation skills can be applied and assessed; employ and relate specific action patterns to various strategies and sociopragmatic variables of interactional power, social distance and degree of imposition; predict outcomes and explain why the choices made lead to what specific outcomes. The proposed approach also enables efficient collection of significant amount of annotated dialogue data and can be applied to model various medical and not medical negotiation scenarios.
Volha Petukhova; Firuza Sharifullaeva; Dietrich Klakow. Authoring Negotiation Content and Programming Simulated Patients. Lecture Notes in Electrical Engineering 2020, 163 -182.
AMA StyleVolha Petukhova, Firuza Sharifullaeva, Dietrich Klakow. Authoring Negotiation Content and Programming Simulated Patients. Lecture Notes in Electrical Engineering. 2020; ():163-182.
Chicago/Turabian StyleVolha Petukhova; Firuza Sharifullaeva; Dietrich Klakow. 2020. "Authoring Negotiation Content and Programming Simulated Patients." Lecture Notes in Electrical Engineering , no. : 163-182.
This paper presents SemMR, a semantic framework for modelling interactions between human and non-human entities and managing reusable and optimized cultural experiences, towards a shared cultural experience ecosystem that might seamlessly accommodate mixed reality experiences. The SemMR framework synthesizes and integrates interaction data into semantically rich reusable structures and facilitates the interaction between different types of entities in a symbiotic way, within a large, virtual, and fully experiential open world, promoting experience sharing at the user level, as well as data/application interoperability and low-effort implementation at the software engineering level. The proposed semantic framework introduces methods for low-effort implementation and the deployment of open and reusable cultural content, applications, and tools, around the concept of cultural experience as a semantic trajectory or simply, experience as a trajectory (eX-trajectory). The methods facilitate the collection and analysis of data regarding the behaviour of users and their interaction with other users and the environment, towards optimizing eX-trajectories via reconfiguration. The SemMR framework supports the synthesis, enhancement, and recommendation of highly complex reconfigurable eX-trajectories, while using semantically integrated disparate and heterogeneous related data. Overall, this work aims to semantically manage interactions and experiences through the eX-trajectory concept, towards delivering enriched cultural experiences.
Costas Vassilakis; Konstantinos Kotis; Dimitris Spiliotopoulos; Dionisis Margaris; Vlasios Kasapakis; Christos-Nikolaos Anagnostopoulos; Georgios Santipantakis; George A. Vouros; Theodore Kotsilieris; Volha Petukhova; Andrei Malchanau; Ioanna Lykourentzou; Kaj Michael Helin; Artem Revenko; Nenad Gligoric; Boris Pokric. A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems. Big Data and Cognitive Computing 2020, 4, 6 .
AMA StyleCostas Vassilakis, Konstantinos Kotis, Dimitris Spiliotopoulos, Dionisis Margaris, Vlasios Kasapakis, Christos-Nikolaos Anagnostopoulos, Georgios Santipantakis, George A. Vouros, Theodore Kotsilieris, Volha Petukhova, Andrei Malchanau, Ioanna Lykourentzou, Kaj Michael Helin, Artem Revenko, Nenad Gligoric, Boris Pokric. A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems. Big Data and Cognitive Computing. 2020; 4 (2):6.
Chicago/Turabian StyleCostas Vassilakis; Konstantinos Kotis; Dimitris Spiliotopoulos; Dionisis Margaris; Vlasios Kasapakis; Christos-Nikolaos Anagnostopoulos; Georgios Santipantakis; George A. Vouros; Theodore Kotsilieris; Volha Petukhova; Andrei Malchanau; Ioanna Lykourentzou; Kaj Michael Helin; Artem Revenko; Nenad Gligoric; Boris Pokric. 2020. "A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems." Big Data and Cognitive Computing 4, no. 2: 6.
This paper presents an approach to the evaluation of multimodal dialogue systems, applying usability metrics defined in ISO standards. Users’ perceptions of effectiveness, efficiency and satisfaction were correlated with various performance metrics derived from system logfiles and reference annotations. Usability experts rated questions from a preliminary 110-items questionnaire, and an assessment of their agreement on usability concepts has led to a selection of eight main factors: task completion and quality, robustness, learnability, flexibility, likeability, ease of use and usefulness (value) of an application. Based on these factors, an internally consistent and reliable questionnaire with 32 items (Cronbach’s alpha of 0.87) was produced. This questionnaire was used to evaluate the Virtual Negotiation Coaching system for metacognitive skills training in a multi-issue bargaining setting. The observed correlations between usability perception and derived performance metrics suggest that the overall system usability is determined by the quality of agreements reached, by the robustness and flexibility of the interaction, and by the quality of system responses.
Andrei Malchanau; Volha Petukhova; Harry Bunt. Multimodal Dialogue System Evaluation: A Case Study Applying Usability Standards. Lecture Notes in Electrical Engineering 2019, 145 -159.
AMA StyleAndrei Malchanau, Volha Petukhova, Harry Bunt. Multimodal Dialogue System Evaluation: A Case Study Applying Usability Standards. Lecture Notes in Electrical Engineering. 2019; ():145-159.
Chicago/Turabian StyleAndrei Malchanau; Volha Petukhova; Harry Bunt. 2019. "Multimodal Dialogue System Evaluation: A Case Study Applying Usability Standards." Lecture Notes in Electrical Engineering , no. : 145-159.
This paper presents the DialogBank, a new language resource consisting of dialogues with gold standard annotations according to the ISO 24617-2 standard. Some of these dialogues have been taken from existing corpora and have been re-annotated, offering the possibility to compare annotations according to different schemes; others have been newly annotated directly according to the standard. The ISO standard annotations in the DialogBank make use of three alternative representation formats, which are shown to be interoperable. The (re-)annotation brought certain deficiencies and limitations of the ISO standard to light, which call for considering possible revisions and extensions, and for exploring the possible integration of dialogue act annotations with other semantic annotations.
Harry Bunt; Volha Petukhova; Andrei Malchanau; Alex Fang; Kars Wijnhoven. The DialogBank: dialogues with interoperable annotations. Language Resources and Evaluation 2018, 53, 213 -249.
AMA StyleHarry Bunt, Volha Petukhova, Andrei Malchanau, Alex Fang, Kars Wijnhoven. The DialogBank: dialogues with interoperable annotations. Language Resources and Evaluation. 2018; 53 (2):213-249.
Chicago/Turabian StyleHarry Bunt; Volha Petukhova; Andrei Malchanau; Alex Fang; Kars Wijnhoven. 2018. "The DialogBank: dialogues with interoperable annotations." Language Resources and Evaluation 53, no. 2: 213-249.
The paper discusses two key tasks performed by a Question Answering Dialogue System (QADS): user question interpretation and answer extraction. The system represents an interactive quiz game application. The information that forms the content of the game is concerned with biographical facts of famous people’s life. The process of a question classification and answer extraction is performed based on a domain-specific taxonomy of semantic roles and relations computing the Expected Answer Type (EAT). Question interpretation is achieved performing a sequence of classification, information extraction, query formalization and query expansion tasks. The expanded query facilitates the search and retrieval of the information. The facts are extracted from Wikipedia pages by means of the same set of semantic relations, whose fillers are identified by trained sequence classifiers and pattern matching tools, and edited to be returned to the player as full-fledged system answers. The results (precision of 85% for the EAT classification of both in questions and answers) show that the presented approach fits the data well and can be considered as a promising method for other QA domains, in particular when dealing with unstructured information.
Volha Petukhova; Desmond Darma Putra; Alexandr Chernov; Dietrich Klakow. Understanding Questions and Extracting Answers: Interactive Quiz Game Application Design. Privacy Enhancing Technologies 2018, 246 -261.
AMA StyleVolha Petukhova, Desmond Darma Putra, Alexandr Chernov, Dietrich Klakow. Understanding Questions and Extracting Answers: Interactive Quiz Game Application Design. Privacy Enhancing Technologies. 2018; ():246-261.
Chicago/Turabian StyleVolha Petukhova; Desmond Darma Putra; Alexandr Chernov; Dietrich Klakow. 2018. "Understanding Questions and Extracting Answers: Interactive Quiz Game Application Design." Privacy Enhancing Technologies , no. : 246-261.
In this paper we apply the information state update (ISU) machinery to tracking and understanding the argumentative behaviour of participants in a parliamentary debate in order to predict its outcome. We propose to use the ISU approach to model the arguments of the debaters and the support/attack links between them as part of the formal representations of a participant’s information state. We first consider the identification of claims and evidence relations to their premises as an argument mining task. It is not sufficient, however, to indicate what relations occur without establishing how these relations are created and verified during the interaction. For this purpose the model requires a detailed specification of the creation, maintenance and use of shared beliefs. The ISU model provides procedures for incorporating beliefs and expectations shared between speaker and hearers in the tracking model. To evaluate the content of the tracked information states, we compare them to those of the human ‘concluder’ who wraps up a debate, stating the claims which the majority of the debaters have agreed on.
Volha Petukhova; Andrei Malchanau; Harry Bunt. Modelling Argumentative Behaviour in Parliamentary Debates: Data Collection, Analysis and Test Case. Transactions on Petri Nets and Other Models of Concurrency XV 2016, 26 -46.
AMA StyleVolha Petukhova, Andrei Malchanau, Harry Bunt. Modelling Argumentative Behaviour in Parliamentary Debates: Data Collection, Analysis and Test Case. Transactions on Petri Nets and Other Models of Concurrency XV. 2016; ():26-46.
Chicago/Turabian StyleVolha Petukhova; Andrei Malchanau; Harry Bunt. 2016. "Modelling Argumentative Behaviour in Parliamentary Debates: Data Collection, Analysis and Test Case." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 26-46.
This chapter is concerned with the incremental understanding of utterances in spoken dialogue, with a focus on how their intended (possibly multiple) communicative functions can be recognized in a data-oriented way on the basis of observable features of communicative behaviour. An incremental, token-based approach is described which combines the use of local classifiers, that exploit local utterance features, and global classifiers that use the outputs of local classifiers applied to previous and subsequent tokens. This approach is shown to result in excellent dialogue act recognition scores for unsegmented spoken dialogue. This can be seen as a significant step forward towards the development of fully incremental, on-line methods for computing the meaning of utterances in spoken dialogue.
Volha Petukhova; Harry Bunt. Incremental Recognition and Prediction of Dialogue Acts. Word Sense Disambiguation 2014, 47, 235 -256.
AMA StyleVolha Petukhova, Harry Bunt. Incremental Recognition and Prediction of Dialogue Acts. Word Sense Disambiguation. 2014; 47 ():235-256.
Chicago/Turabian StyleVolha Petukhova; Harry Bunt. 2014. "Incremental Recognition and Prediction of Dialogue Acts." Word Sense Disambiguation 47, no. : 235-256.
Volha Petukhova; Harry Bunt. Towards a multidimensional semantics of discourse markers in spoken dialogue. Proceedings of the Eighth International Conference on Computational Semantics - IWCS-8 '09 2009, 1 .
AMA StyleVolha Petukhova, Harry Bunt. Towards a multidimensional semantics of discourse markers in spoken dialogue. Proceedings of the Eighth International Conference on Computational Semantics - IWCS-8 '09. 2009; ():1.
Chicago/Turabian StyleVolha Petukhova; Harry Bunt. 2009. "Towards a multidimensional semantics of discourse markers in spoken dialogue." Proceedings of the Eighth International Conference on Computational Semantics - IWCS-8 '09 , no. : 1.
Volha Petukhova; Harry Bunt. The independence of dimensions in multidimensional dialogue act annotation. Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers 2009, 1 .
AMA StyleVolha Petukhova, Harry Bunt. The independence of dimensions in multidimensional dialogue act annotation. Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers. 2009; ():1.
Chicago/Turabian StyleVolha Petukhova; Harry Bunt. 2009. "The independence of dimensions in multidimensional dialogue act annotation." Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers , no. : 1.
Harry Bunt; Volha Petukhova; Sander Wubben. Proceedings of the Eighth International Conference on Computational Semantics - IWCS-8 '09. Proceedings of the Eighth International Conference on Computational Semantics - IWCS-8 '09 2009, 1 .
AMA StyleHarry Bunt, Volha Petukhova, Sander Wubben. Proceedings of the Eighth International Conference on Computational Semantics - IWCS-8 '09. Proceedings of the Eighth International Conference on Computational Semantics - IWCS-8 '09. 2009; ():1.
Chicago/Turabian StyleHarry Bunt; Volha Petukhova; Sander Wubben. 2009. "Proceedings of the Eighth International Conference on Computational Semantics - IWCS-8 '09." Proceedings of the Eighth International Conference on Computational Semantics - IWCS-8 '09 , no. : 1.