BLISS.bib

    
@Misc{zorgstelsel2016,
  OPTkey = 	 {},
  author = 	 {{Ministerie van Volksgezondheid, Wel\-zijn en Sport}},
  title = 	 {{Het Nederlandse zorgstelsel}},
  howpublished = {Brochure, available at:  https://www.rijksoverheid.nl/documenten/ brochures/2016/02/ 09/het-nederlandse-zorgstelsel },
  year = 	 {2016},
  OPTnote = 	 {P4: Langdurige zorg, jeugdhulp en maatschappelijke ondersteuning De Wlz, de Wmo en de Jeugdwet zijn van een recentere datum: in hun huidige vorm zijn deze wetten sinds 2015 van kracht. De Wlz wordt op landelijk niveau in opdracht van de rijksoverheid uitgevoerd door Wlz-uitvoerders. Daarnaast zijn er enkele andere organisaties betrokken bij de uitvoering, zoals het Centrum Indicatiestelling Zorg (CIZ) en het Centraal AdministratieKantoor (CAK). De uitvoering van de Wmo en de Jeugdwet ligt bij de gemeenten, die de ondersteuning, hulp of zorg zelf aanbieden of met de inzet van een zorgaanbieder.Drijfveren achter deze wetten zijn de kansen om de kwaliteit van de zorg te verbeteren, een integrale aanpak te bevorderen en de zorg in tijden van vergrijzing en chronische aandoeningen toegankelijk en betaalbaar te houden. Uitgangspunt in deze domeinen zijn niet de tekortkomingen, maar de mogelijkheden van mensen. In eerste instantie wordt er een beroep gedaan op het eigen netwerk en middelen voor ondersteuning, maar de ondersteuning is altijd beschikbaar voor diegenen die er niet zelf in kunnen voorzien.},
  OPTannote = 	 {}
}


@article{strik1997spoken,
  title={A spoken dialog system for the {D}utch public transport information service},
  author={Strik, Helmer and Russel, Albert and {Van Den Heuvel}, Henk and Cucchiarini, Catia and Boves, Lou},
  journal={International Journal of Speech Technology},
  volume={2},
  number={2},
  pages={121--131},
  year={1997},
  publisher={Springer}
}

@inproceedings{imix2005,
  title={From question answering to spoken dialogue: towards an information search assistant for interactive multimodal information extraction.},
  author={{op den Akker}, Rieks and Bunt, Harry and Keizer, Simon and {van Schooten}, Boris W},
  booktitle={Interspeech},
  pages={2793--2796},
  year={2005}
}


@InProceedings{povey2011kaldi,
  author       = {Povey, Daniel and Ghoshal, Arnab and Boulianne, Gilles and Burget, Luk{\'a}{\v{s}} and Glembek, Ond{\v{r}}ej and Goel, Nagendra and Hannemann, Mirko and Motl{\'i}{\v{c}}ek, Petr and Qian, Yanmin and Schwarz, Petr and Silovsk{\'y}, Jan and Stemmer, Georg and Vesel{\'y}, Karel},
  title        = {The {K}aldi speech recognition toolkit},
  booktitle    = {Workshop on Automatic Speech Recognition and Understanding ({ASRU})},
  year         = {2011},
  organization = {IEEE},
}

@inproceedings{VanWaterschoot2018,
abstract = {{\textcopyright} 2018 Association for Computing Machinery. We present a new dialogue engine called Flipper 2.0 (Flipper) which aims to help developers of embodied conversational agents (ECAs) to quickly and flexibly create dialogues. Flipper provides a technically stable and robust dialogue management system to integrate with other components of ECAs such as behaviour realisers. We compare Flipper with state-of-the-art dialogue design systems. We describe the details of our dialogue engine, how it handles dialogue management and how it supports the authoring of dialogues. We demonstrate the use of the dialogue engine with examples of design patterns and discuss practical applications. Finally we give recommendations on the cases in which it is beneficial to use Flipper.},
address = {Sydney, NSW, Australia},
author = {{van Waterschoot}, Jelte and Bruijnes, Merijn and Flokstra, Jan and Reidsma, Dennis and Davison, Daniel and Theune, Mari{\"{e}}t and Heylen, Dirk},
booktitle = {Proceedings of the 18th International Conference on Intelligent Virtual Agents},
doi = {10.1145/3267851.3267882},
isbn = {9781450360135},
keywords = {Dialogue design,Dialogue engine,Dialogue manager,Embodied conversational agent,Pragmatics},
pages = {43--50},
publisher = {ACM},
series = {IVA '18},
title = {{Flipper 2.0: A Pragmatic Dialogue Engine for Embodied Conversational Agents}},
url = {http://dl.acm.org/citation.cfm?doid=3267851.3267882},
year = {2018}
}

@article{DeSmedt2012,
abstract = {Pattern is a package for Python 2.4+ with functionality for web mining (Google + Twitter + Wikipedia, web spider, HTML DOM parser), natural language processing (tagger/chunker, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, k-means clustering, Naive Bayes + k-NN + SVM classifiers) and network analysis (graph centrality and visualization). It is well documented and bundled with 30+ examples and 350+ unit tests. The source code is licensed under BSD and available from http://www.clips.ua.ac.be/pages/ pattern.{\textcopyright} 2012 Tom De Smedt and Walter Daelemans.},
annote = {The Pattern package is extended with Dutch support here. This is the reference for that.},
author = {{De Smedt}, Tom and Daelemans, Walter},
issn = {15324435},
journal = {Journal of Machine Learning Research},
keywords = {Data mining,Graph networks,Machine learning,Natural language processing,Python},
pages = {2063--2067},
title = {{Pattern for python}},
volume = {13},
year = {2012}
}

@inproceedings{Bunt2010,
abstract = {This paper describes an ISO project developing an international standard for annotating dialogue with semantic information, in particular concerning the communicative functions of the utterances, the kind of content they address, and the dependency relations to what was said and done earlier in the dialogue. The project, registered as ISO 24617-2 Semantic annotation framework, Part 2: Dialogue acts”, is currently at DIS stage.},
address = {Valetta, Malta},
annote = {Describes a method for providing a standard format for dialogue annotation. According to them, a dialog act has two components, a communicative function and semantic content. The semantic content specifices the objects, relations, actions, events, etc that the dialogue act is about; the communicative function can be viewed as a specification of the way an addressee uses the semantic content to update his or her information state when he or she understands the corresponding stretch of dialogue. Communicative functions are defined in terms of functional segments, which are functionally relevant minimal stretches of communicative behaviour.
Described is how feedback acts are concerned with the processing of what was said before (the utterance itself), whereas functional dependencies are concerned with the dialogue acts. A meta-model is displayed in Figure 1 to highlight the relations of dialogue acts to functional segments, semantic content and communicative function.
They mention dimensions again, see Bunt (2006) for more info about that. Next to dimensions, there are also criteria for communicative function described in 6.2, relevant for adding a possible extra dimension. There is also a distinction made between dimension-specific and general-purpose functions (see figure 2 for display of all general-purpose function).
Moreover, the ISO also has described in Table 1 phenomena relevant to dialogues, which are modality (certainty), mode (emotion), conditionality (conditions) and partiality (partial/complete). See Petukhova {\&} Bunt (2010) for further study.},
author = {Bunt, Harry and Alexandersson, Jan and Carletta, Jean and Choe, Jae-Woong and Fang, Alex Chengyu and Hasida, Koiti and Lee, Kiyong and Petukhova, Volha and Popescu-Belis, Andrei and Romary, Laurent and Soria, Claudia and Traum, David},
booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
editor = {Calzolari, Nicoletta (Conference Chair) and Choukri, Khalid and Maegaard, Bente and Mariani, Joseph and Odijk, Jan and Piperidis, Stelios and Rosner, Mike and Daniel, Tapias},
isbn = {2951740867},
keywords = {Corpus (creation,Dialogue,Semantics,annotation,etc.)},
mendeley-groups = {ARIA VALUSPA,ARIA VALUSPA/Papers},
pages = {2548--2555},
publisher = {European Language Resources Association (ELRA)},
title = {{Towards an ISO Standard for Dialogue Act Annotation}},
year = {2010}
}

@inproceedings{radlinski2019,
abstract = {Conversational recommendation has recently attracted significant attention. As systems must understand users' preferences , training them has called for conversational corpora, typically derived from task-oriented conversations. We observe that such corpora often do not reflect how people naturally describe preferences. We present a new approach to obtaining user preferences in dialogue: Coached Conversational Preference Elicitation. It allows collection of natural yet structured conversational preferences. Studying the dialogues in one domain, we present a brief quantitative analysis of how people describe movie preferences at scale. Demonstrating the methodology, we release the CCPE-M dataset to the community with over 500 movie preference dialogues expressing over 10,000 preferences. 1},
author = {Radlinski, Filip and Balog, Krisztian and Byrne, Bill and Krishnamoorthi, Karthik},
booktitle = {Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue},
doi = {10.18653/v1/w19-5941},
pages = {353--360},
title = {{Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences}},
url = {https://www.aclweb.org/anthology/W19-5941},
year = {2019}
}


@article{theune2001data,
  title={From data to speech: a general approach},
  author={Theune, Mari{\"e}t and Klabbers, Esther and de Pijper, Jan-Roelof and Krahmer, Emiel and Odijk, Jan},
  journal={Natural Language Engineering},
  volume={7},
  number={1},
  pages={47--86},
  year={2001},
  publisher={Cambridge University Press}
}

@inproceedings{theune1997computing,
  title={Computing prosodic properties in a data-to-speech system},
  author={Theune, M and Klabbers, E and Odijk, JEJM and De Pijper, JR},
  booktitle={Proceedings of the ACL/EACL'97 Workshop on Concept to Speech Generation Systems},
 pages={39--45},
  year={1997}
}

@incollection{klabbers2019text,
  title={Text-to-Speech Synthesis},
  author={Klabbers, Esther},
  booktitle={Foundations in Sound Design for Embedded Media},
  pages={297--317},
  year={2019},
  publisher={Routledge}
}


@inproceedings{akker2018council,
title = "Council of coaches a novel holistic behavior change coaching approach",
abstract = "A modern way of life needs a modern way of coaching. Despite the proliferation of ICT solutions for personalized health care, there is still no easy way to provide older adults with integrated coaching services. In this paper we introduce the concept of Council of Coaches — a radically new virtual coaching concept based on multiple autonomous, embodied virtual coaches, which form together a personal council that fulfills the needs of older adults in an integrated way. In this concept, coaching takes the form of an open dialog in which clients co-construct together with a selected number of coaches their own plans to go for a healthier lifestyle. Virtual coaches are presented to users by means of embodied conversational social characters. We discuss technical and social challenges on the path towards realizing the Council of Coaches concept, a radically new view of health coaching that involves the state of the art in human-computer interaction, natural dialogue, and argumentation technology.",
keywords = "Behavior Change, Embodied Agents, Virtual Coaching",
author = "op den Akker, Harm and op den Akker, Rieks and Tessa Beinema and Oresti Banos and Dirk Heylen and Bj{\"o}rn Bedsted and Alison Pease and Catherine Pelachaud and Salcedo, {Vicente Traver} and Sofoklis Kyriazakos and Hermie Hermens",
year = "2018",
language = "English",
volume = "2018-March",
pages = "219--226",
editor = "M. Ziefle and L. Maciaszek and Bamidis, {P. D.}",
booktitle = "ICT4AWE 2018 - Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health",
publisher = "SciTePress",
address = "Portugal",

}

@article{Weizenbaum:1966:ECP:365153.365168,
 author = {Weizenbaum, Joseph},
 title = {ELIZA\texttt{-{}-}a Computer Program for the Study of Natural Language Communication Between Man and Machine},
 journal = {Communications of the ACM},
 issue_date = {Jan. 1966},
 volume = {9},
 number = {1},
 month = jan,
 year = {1966},
 issn = {0001-0782},
 pages = {36--45},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/365153.365168},
 doi = {10.1145/365153.365168},
 acmid = {365168},
 publisher = {ACM},
 address = {New York, NY, USA},
} 

@inproceedings{morbini2012mixed,
abstract = {We present a mixed initiative conversational dialogue system designed to address primarily mental health care concerns related to military deployment. It is supported by a new information-state based dialogue manager, FLoReS (Forward-Looking, Reward Seeking dialogue manager), that allows both advanced, flexible, mixed initiative interaction, and efficient policy creation by domain experts. To easily reach its target population this dialogue system is accessible as a web application.},
address = {Seoul, South Korea},
author = {Morbini, Fabrizio and Forbell, Eric and DeVault, David and Sagae, Kenji and Traum, David R. and Rizzo, Albert A.},
booktitle = {Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue},
editor = {Lee, Gary Beunbae and Ginzburg, Jonathan and Gardent, Claire and Stent, Amanda},
isbn = {9781937284442},
pages = {137--139},
publisher = {Association for Computational Linguistics},
title = {{A Mixed-Initiative Conversational Dialogue System for Healthcare}},
url = {https://www.aclweb.org/anthology/W12-1620},
year = {2012}
}

@incollection{Seligman2002,
abstract = {This chapter focuses on positive psychology, positive prevention and positive therapy. The aim of positive psychology is to catalyze change in psychology from a preoccupation only with repairing the worst things in life to also building the best qualities in life. The field of positive psychology at the subjective level is about positive subjective experience: well-being and satisfaction (past); flow, joy, the sensual pleasures, and happiness (present); and constructive cognitions about the future--optimism, hope, and faith. At the individual level it is about positive personal traits--the capacity for love and vocation, courage, interpersonal skill, aesthetic sensibility, perseverance, forgiveness, originality, futuremindedness, high talent, and wisdom. At the group level it is about the civic virtues and the institutions that move individuals toward better citizenship: responsibility, nurturance, altruism, civility, moderation, tolerance, and work ethic.},
author = {Seligman, Martin E. P.},
booktitle = {Handbook of Positive Psychology},
chapter = {1},
doi = {10.1017/CBO9781107415324.004},
edition = {2nd},
editor = {Snyder, Charles R. and Lopez, Shane J.},
isbn = {0-19-513533-4},
issn = {1098-6596},
keywords = {Psychology,Satisfaction,Work,cognition,happiness,positive prevention,positive psychology,positive therapy,quality of life,well-being},
pages = {3--12},
pmid = {25246403},
publisher = {Oxford University Press},
title = {{Positive Psychology, Positive Prevention, and Positive Therapy}},
url = {http://www.positiveculture.org/uploads/7/4/0/7/7407777/seligrman{\_}intro.pdf},
year = {2002}
}

@book{Seligman2011,
abstract = {Traditionally, the goal of psychology has been to relieve human suffering, but the goal of the Positive Psychology movement, which Dr. Seligman has led for fifteen years, is different{\&}—it's about actually raising the bar for the human condition. Flourish builds on Dr. Seligman's game-changing work on optimism, motivation, and character to show how to get the most out of life, unveiling an electrifying new theory of what makes a good life{\&}—for individuals, for communities, and for nations. In a fascinating evolution of thought and practice, Flourish refines what Positive Psychology is all about. While certainly a part of well-being, happiness alone doesn't give life meaning. Seligman now asks, What is it that enables you to cultivate your talents, to build deep, lasting relationships with others, to feel pleasure, and to contribute meaningfully to the world? In a word, what is it that allows you to flourish? “Well-being” takes the stage front and center, and Happiness (or Positive Emotion) becomes one of the five pillars of Positive Psychology, along with Engagement, Relationships, Meaning, and Accomplishment{\&}—or PERMA, the permanent building blocks for a life of profound fulfillment. Thought-provoking in its implications for education, economics, therapy, medicine, and public policy{\&}—the very fabric of society{\&}—Flourish tells inspiring stories of Positive Psychology in action, including how the entire U.S. Army is now trained in emotional resilience; how innovative schools can educate for fulfillment in life and not just for workplace success; and how corporations can improve performance at the same time as they raise employee well-being. With interactive exercises to help readers explore their own attitudes and aims, Flourish is a watershed in the understanding of happiness as well as a tool for getting the most out of life},
address = {New York, NY, USA},
author = {Seligman, Martin E. P.},
edition = {1st},
isbn = {978-1-4391-9075-3},
pages = {368},
publisher = {Free Press},
title = {{Flourish: A Visionary New Understanding of Happiness and Well-being}},
year = {2011}
}



@article{Huber2011,
abstract = {The WHO definition of health as complete wellbeing is no longer fit for purpose given the rise of chronic disease. Machteld Huber and colleagues propose changing the emphasis towards the ability to adapt and self manage in the face of social, physical, and emotional challenges$\backslash$n$\backslash$nThe current WHO definition of health, formulated in 1948, describes health as “a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity.”1 At that time this formulation was groundbreaking because of its breadth and ambition. It overcame the negative definition of health as absence of disease and included the physical, mental, and social domains. Although the definition has been criticised over the past 60 years, it has never been adapted. Criticism is now intensifying,2 3 4 5 and as populations age and the pattern of illnesses changes the definition may even be counterproductive. The paper summarises the limitations of the WHO definition and describes the proposals for making it more useful that were developed at a conference of international health experts held in the Netherlands.6$\backslash$n$\backslash$nMost criticism of the WHO definition concerns the absoluteness of the word “complete” in relation to wellbeing. The first problem is that it unintentionally contributes to the medicalisation of society. The requirement for complete health “would leave most of us unhealthy most of the time.”4 It therefore supports the tendencies of the medical technology and drug industries, in association with professional organisations, to redefine diseases, expanding the scope of the healthcare system. New screening technologies detect abnormalities at levels that might never cause illness and pharmaceutical companies produce drugs for “conditions” not previously defined as health problems. Thresholds for intervention tend to be lowered—for example, with blood pressure, lipids, and sugar. The persistent emphasis on complete physical well-being {\ldots}},
author = {Huber, Machteld and {Andr{\'{e}} Knottnerus}, J. and Green, Lawrence and {Van Der Horst}, Henri{\"{e}}tte and Jadad, Alejandro R. and Kromhout, Daan and Leonard, Brian and Lorig, Kate and Loureiro, Maria Isabel and {Van Der Meer}, Jos W.M. and Schnabel, Paul and Smith, Richard and {Van Weel}, Chris and Smid, Henk},
doi = {10.1136/bmj.d4163},
issn = {09598146},
journal = {BMJ (Online)},
number = {7817},
pages = {1--3},
pmid = {21791490},
title = {{How should we define health?}},
volume = {343},
year = {2011}
}

@article{Bickmore2006,
abstract = {There is a growing need for automated systems that can interview patients and consumers about their health and provide health education and behavior change interventions using natural language dialog. A number of these health dialog systems have been developed over the last two decades, many of which have been formally evaluated in clinical trials and shown to be effective. This article provides an overview of the theories, technologies and methodologies that are used in the construction and evaluation of these systems, along with a description of many of the systems developed and tested to date. The strengths and weaknesses of these approaches are also discussed, and the needs for future work in the field are delineated. {\textcopyright} 2006 Elsevier Inc. All rights reserved.},
author = {Bickmore, Timothy and Giorgino, Toni},
doi = {10.1016/j.jbi.2005.12.004},
issn = {15320464},
journal = {Journal of Biomedical Informatics},
keywords = {Behavioral informatics,Consumer informatics,Dialog system,Natural language processing},
number = {5},
pages = {556--571},
title = {{Health dialog systems for patients and consumers}},
volume = {39},
year = {2006}
}

@inproceedings{meschtscherjakov2016persuasive,
abstract = {Measuring the potential persuasive effect of non-fully functional prototypes is important in a user-centered design process. A tool for measuring this persuasive potential should be deployable regardless of the persuasive goal, be suited for a generic context, and be targeted at different user groups. In this paper, we make a first step towards such an all-encompassing, quick and easy-to-use tool to measure the potential of persuasive systems: the Persuasive Potential Questionnaire (PPQ). We outline the development stages of the PPQ. A literature analysis led to five dimensions characterizing the persuasive potential of a system. We then formulated 50 items for the PPQ in an iterative generation process and conducted an online survey with 94 participants. Based on a statistical analysis, we propose a first version of the PPQ with 3 dimensions and 15 items. We conclude with a reflection on the identified benefits and drawbacks regarding the current iteration of the PPQ.},
address = {Salzburg, Austria},
author = {Meschtscherjakov, Alexander and G{\"{a}}rtner, Magdalena and Mirnig, Alexander and R{\"{o}}del, Christina and Tscheligi, Manfred},
booktitle = {Persuasive Technology},
editor = {{De Ruyter}, Boris and Fuchsberger, Verena and Murer, Martin and Tscheligi, Manfred},
file = {:M$\backslash$:/Documents/University of Twente/Literature/Health/Meschtscherjakov et al. - The Persuasive Potential Questionnaire (2016).pdf:pdf},
isbn = {978-3-319-31510-2},
issn = {16113349},
keywords = {Methods,Persuasion,Questionnaire},
month = {apr},
pages = {162--175},
publisher = {Springer International Publishing},
title = {{The Persuasive Potential Questionnaire (PPQ): Challenges, Drawbacks, and Lessons Learned}},
year = {2016}
}


@article{BEVERIDGE2006482,
abstract = {This paper presents some research undertaken as part of the EU-funded HOMEY project, into the application of intelligent dialogue systems to healthcare systems. The work presented here concentrates on the ways in which knowledge of underlying task structure (e.g., a medical guideline) can be combined with ontological knowledge (e.g., medical semantic dictionaries) to provide a basis for the automatic generation of flexible and re-configurable dialogue. This approach is next evaluated via a specific application that provides decision support to general practitioners to help determine whether or not a patient should be referred to a cancer specialist. The competence of the resulting dialogue application, its speech recognition performance, and dialogue performance are all evaluated to determine the applicability of this approach.},
author = {Beveridge, Martin and Fox, John},
doi = {https://doi.org/10.1016/j.jbi.2005.12.008},
issn = {1532-0464},
journal = {Journal of Biomedical Informatics},
keywords = {Cancer,Conversational game,Dialogue,Healthcare,Ontology,PRO,Speech,Task},
number = {5},
pages = {482--499},
publisher = {Elsevier},
title = {{Automatic generation of spoken dialogue from medical plans and ontologies}},
url = {http://www.sciencedirect.com/science/article/pii/S1532046406000037},
volume = {39},
year = {2006}
}

 @book{IMIX-book,
	author = {{van den Bosch}, A. and Bouma, G.},
	title = {Interactive Multi-modal Question-Answering},
	publisher = {Springer, Berlin, Heidelberg},
	doi = {https://doi.org/10.1007/978-3-642-17525-1},
	isbn = {978-3-642-17524-4},
	year = {2011},
	series = {Theory and Applications of Natural Language Processing}				
					}
%authors should be editors, but that messed up the reference

@inproceedings{hunt1996unit,
  title={Unit selection in a concatenative speech synthesis system using a large speech database},
  author={Hunt, Andrew J. and Black, Alan W.},
  booktitle={1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings},
  volume={1},
  pages={373--376},
  year={1996},
  organization={IEEE}
}

@article{habib2019semi,
  title={Semi-Supervised Generative Modeling for Controllable Speech Synthesis},
  author={Habib, Raza and Mariooryad, Soroosh and Shannon, Matt and Battenberg, Eric and Skerry-Ryan, RJ and Stanton, Daisy and Kao, David and Bagby, Tom},
  journal={arXiv preprint arXiv:1910.01709},
  year={2019}
}

@inproceedings{Shechtman2019,
  author={Slava Shechtman and Alex Sorin},
  title={{Sequence to Sequence Neural Speech Synthesis with Prosody Modification Capabilities}},
  year=2019,
  booktitle={Proc. 10th ISCA Speech Synthesis Workshop},
  pages={275--280},
  doi={10.21437/SSW.2019-49},
  url={http://dx.doi.org/10.21437/SSW.2019-49}
}

@article{Kolomiyets2011,
abstract = {This article provides a comprehensive and comparative overview of question answering technology. It presents the question answering task from an information retrieval perspective and emphasises the importance of retrieval models, i.e., representations of queries and information documents, and retrieval functions which are used for estimating the relevance between a query and an answer candidate. The survey suggests a general question answering architecture that steadily increases the complexity of the representation level of questions and information objects. On the one hand, natural language queries are reduced to keyword-based searches, on the other hand, knowledge bases are queried with structured or logical queries obtained from the natural language questions, and answers are obtained through reasoning. We discuss different levels of processing yielding bag-of-words-based and more complex representations integrating part-of-speech tags, classification of the expected answer type, semantic roles, discourse analysis, translation into a SQL-like language and logical representations. {\textcopyright} 2011 Elsevier Inc. All rights reserved.},
annote = {Survey paper on information retrieval for question-answering systems.},
author = {Kolomiyets, Oleksandr and Moens, Marie Francine},
doi = {10.1016/j.ins.2011.07.047},
issn = {00200255},
journal = {Information Sciences},
keywords = {Information retrieval,Natural language interfaces,Question answering,Retrieval and ranking models},
number = {24},
pages = {5412--5434},
publisher = {Elsevier Inc.},
title = {{A survey on question answering technology from an information retrieval perspective}},
url = {http://dx.doi.org/10.1016/j.ins.2011.07.047},
volume = {181},
year = {2011}
}

@inproceedings{chen-etal-2017-deep,
abstract = {In the past decade, goal-oriented spoken dialogue systems have been the most prominent component in today's virtual personal assistants. The classic dialogue systems have rather complex and/or modular pipelines. The advance of deep learning technologies has recently risen the applications of neural models to dialogue modeling. However, how to successfully apply deep learning based approaches to a dialogue system is still challenging. Hence, this tutorial is designed to focus on an overview of the dialogue system development while describing most recent research for building dialogue systems and summarizing the challenges, in order to allow researchers to study the potential improvements of the state-of-the-art dialogue systems. The tutorial material is available at http://deepdialogue.miulab.tw.},
address = {Vancouver, Canada},
annote = {Tutorial on deep learning for dialog systems, good paper that introduces the concept and doesn't focus on any specific cases.},
author = {Chen, Yun Nung and Celikyilmaz, Asli and Hakkani-T{\"{u}}r, Dilek},
booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts},
doi = {10.18653/v1/P17-5004},
isbn = {9781945626777},
pages = {8--14},
publisher = {Association for Computational Linguistics},
title = {{Deep Learning for Dialogue Systems}},
year = {2017}
}

@article{Bickmore2005,
abstract = {This research investigates the meaning of“human-computer relationship” and presents techniques for constructing, maintaining, and evaluating such relationships, based on research in social psy- chology, sociolinguistics, communication and other social sciences. Contexts in which relationships are particularly important are described, together with specific benefits (like trust) and task out- comes (like improved learning) known to be associated with relationship quality. We especially consider the problem ofdesigning for long-term interaction, and define relational agents as compu- tational artifacts designed to establish and maintain long-term social-emotional relationships with their users. We construct the first such agent, and evaluate it in a controlled experiment with 101 users who were asked to interact daily with an exercise adoption system for a month. Compared to an equivalent task-oriented agent without any deliberate social-emotional or relationship-building skills, the relational agent was respected more, liked more, and trusted more, even after four weeks ofinteraction. Additionally, users expressed a significantly greater desire to continue working with the relational agent after the termination ofthe study. We conclude by discussing future directions for this research together with ethical and other ramifications of this work for HCI designers.},
address = {New York, NY, USA},
author = {Bickmore, Timothy W and Picard, Rosalind W},
doi = {10.1145/1067860.1067867},
issn = {1073-0516},
journal = {ACM Transactions on Computer-Human Interaction},
keywords = {Human-computer interaction,embodied conversational agent,relational agent,social interface},
mendeley-groups = {ARIA VALUSPA},
number = {2},
pages = {293--327},
publisher = {ACM},
title = {{Establishing and Maintaining Long-term Human-computer Relationships}},
url = {http://portal.acm.org/citation.cfm?doid=1067860.1067867},
volume = {12},
year = {2005}
}

@inproceedings{zhang-etal-2018-personalizing,
    title = "Personalizing Dialogue Agents: {I} have a dog, do you have pets too?",
    author = "Zhang, Saizheng  and
      Dinan, Emily  and
      Urbanek, Jack  and
      Szlam, Arthur  and
      Kiela, Douwe  and
      Weston, Jason",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P18-1205",
    doi = "10.18653/v1/P18-1205",
    pages = "2204--2213",
    abstract = "Chit-chat models are known to have several problems: they lack specificity, do not display a consistent personality and are often not very captivating. In this work we present the task of making chit-chat more engaging by conditioning on profile information. We collect data and train models to (i)condition on their given profile information; and (ii) information about the person they are talking to, resulting in improved dialogues, as measured by next utterance prediction. Since (ii) is initially unknown our model is trained to engage its partner with personal topics, and we show the resulting dialogue can be used to predict profile information about the interlocutors.",
}

@article{kardol2015,
abstract = {Robotisering in de zorg is een actueel en veelbesproken onderwerp. Het is actueel, omdat we in een tijdperk zitten waarin het behoud van werkgelegenheid in de chronische zorg onder druk staat en omdat we de nadruk leggen op het langer thuis blijven wonen van mensen die langdurige zorg nodig hebben. Robotisering is veelbesproken, omdat het belang van menswaardige aandacht voor zorgbehoevende mensen er door onder druk lijkt komen te staan. Wat zijn de ervaringen in de praktijk met zorgrobot Zora?},
author = {Kardol, Tinie},
doi = {10.1007/s40718-015-0041-3},
issn = {1389-143X},
journal = {Geron},
month = {jun},
number = {2},
pages = {43--45},
publisher = {Springer},
title = {{Zora, een zelflerende robot in de praktijk}},
volume = {17},
year = {2015}
}

@incollection{Martinez-Martin2018,
abstract = {The world's population is ageing and, with that, new social issues arise, especially in terms of healthcare and daily activities. Despite the preference for human professional healthcare, the new socio-economic situation and the decrease in care personnel make necessary to give support to the process of caregiving. In this context, Robotics can be considered as a solution since it can provide healthcare support, help in performing daily tasks, and/or increase the feeling of autonomony and self management. This paper is an overview of the existing robotic technologies for elderly care, analysing their benefits for the elderly.},
address = {Cham},
author = {Martinez-Martin, Ester and del Pobil, Angel P.},
booktitle = {Personal Assistants: Emerging Computational Technologies},
chapter = {5},
doi = {10.1007/978-3-319-62530-0_5},
edition = {1st},
editor = {Costa, Angelo and Vicente, Julian and Novais, Paulo},
file = {:M$\backslash$:/Documents/University of Twente/Literature/Health/Martinez-Martin and del Pobil - Personal Robot Assistants for Elderly Care (2018).pdf:pdf},
isbn = {978-3-319-62530-0},
keywords = {assisted living},
pages = {77--91},
publisher = {Springer International Publishing},
title = {{Personal Robot Assistants for Elderly Care: An Overview}},
url = {http://link.springer.com/10.1007/978-3-319-62530-0},
year = {2018}
}

@article{razavi2019dialogue,
abstract = {We address the problem of designing a conversational avatar capable of a sequence of casual conversations with older adults. Users at risk of loneliness, social anxiety or a sense of ennui may benefit from practicing such conversations in private, at their convenience. We describe an automatic spoken dialogue manager for LISSA, an on-screen virtual agent that can keep older users involved in conversations over several sessions, each lasting 10-20 minutes. The idea behind LISSA is to improve users' communication skills by providing feedback on their non-verbal behavior at certain points in the course of the conversations. In this paper, we analyze the dialogues collected from the first session between LISSA and each of 8 participants. We examine the quality of the conversations by comparing the transcripts with those collected in a WOZ setting. LISSA's contributions to the conversations were judged by research assistants who rated the extent to which the contributions were "natural", "on track", "encouraging", "understanding", "relevant", and "polite". The results show that the automatic dialogue manager was able to handle conversation with the users smoothly and naturally.},
address = {Los Angeles, CA, USA},
archivePrefix = {arXiv},
arxivId = {1901.06620},
author = {Razavi, S. Zahra and Schubert, Lenhart K. and Kane, Benjamin and Ali, Mohammad Rafayet and {Van Orden}, Kimberly A. and Ma, Tianyi},
eprint = {1901.06620},
issn = {16130073},
journal = {Joint Proceedings of the ACM IUI 2019 Workshops},
keywords = {Casual conversation,Dialogue management,Older users,Social skills practice,Spoken dialogue agents},
month = {March},
pages = {9},
publisher = {ACM},
title = {{Dialogue Design and Management for Multi-Session Casual Conversation with Older Adults}},
url = {http://arxiv.org/abs/1901.06620},
year = {2019}
}