Relevant bibliographies by topics / User adaptation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'User adaptation'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "User adaptation"

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Shoham, Snunith. "User Adaptation to Public Services." Journal of Library Administration 6, no. 2 (1985): 101–9. http://dx.doi.org/10.1300/j111v06n02_09.

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Nilsson, Erik G., Jacqueline Floch, Svein Hallsteinsen, and Erlend Stav. "Model-based user interface adaptation." Computers & Graphics 30, no. 5 (2006): 692–701. http://dx.doi.org/10.1016/j.cag.2006.07.003.

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Eid, Mustafa Ismail Mustafa, and Hani I. Abbas. "User adaptation and ERP benefits: moderation analysis of user experience with ERP." Kybernetes 46, no. 3 (2017): 530–49. http://dx.doi.org/10.1108/k-08-2015-0212.

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Purpose The purpose of the study is to measure the impact of user adaptation of enterprise resources planning (ERP) post implementation through an appreciation of the benefits ERP provides to its users in Saudi Arabia (SA). The study will also measure the moderation effect of user experience with ERP on the relationship between user adaptation of ERP and user benefits from ERP. Design/methodology/approach The authors conducted a survey questionnaire study of 253 ERP users and tested the research model through the application of a hierarchical multiple regression analysis. Findings The findings
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Benyon, David, Thomas Kühme, Uwe Malinowsi, and Piyawadee Noi Sukaviriya. "Computer-aided adaptation of user interfaces." ACM SIGCHI Bulletin 26, no. 1 (1994): 25–27. http://dx.doi.org/10.1145/181526.181529.

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Di Cagno, Gianluca, Cyril Concolato, and Jean Claude Dufourd. "Multimedia adaptation in end-user terminals." Signal Processing: Image Communication 21, no. 3 (2006): 200–216. http://dx.doi.org/10.1016/j.image.2005.09.005.

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Delic, Vlado, Milan Gnjatovic, Niksa Jakovljevic, Branislav Popovic, Ivan Jokic, and Milana Bojanic. "User-awareness and adaptation in conversational agents." Facta universitatis - series: Electronics and Energetics 27, no. 3 (2014): 375–87. http://dx.doi.org/10.2298/fuee1403375d.

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This paper considers the research question of developing user-aware and adaptive conversational agents. The conversational agent is a system which is user-aware to the extent that it recognizes the user identity and his/her emotional states that are relevant in a given interaction domain. The conversational agent is user-adaptive to the extent that it dynamically adapts its dialogue behavior according to the user and his/her emotional state. The paper summarizes some aspects of our previous work and presents work-in-progress in the field of speech-based human-machine interaction. It focuses pa
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López-Jaquero, Víctor, Vivian Genaro Motti, Francisco Montero, and Pascual González López. "Gisatie: A User Interface Adaptation Life-Cycle." International Joural of User-System Interaction 14, no. 1 (2021): 1–29. http://dx.doi.org/10.37789/ijusi.2021.14.1.1.

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Jokinen, Kristiina. "Adaptation and user expertise modelling in AthosMail." Universal Access in the Information Society 4, no. 4 (2006): 374–92. http://dx.doi.org/10.1007/s10209-005-0002-z.

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Barakonyi, István, and Dieter Schmalstieg. "Augmented reality agents for user interface adaptation." Computer Animation and Virtual Worlds 19, no. 1 (2008): 23–35. http://dx.doi.org/10.1002/cav.220.

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Bartling, Mona, Anthony C. Robinson, Harold Achicanoy Estrella, and Anton Eitzinger. "The impact of user characteristics of smallholder farmers on user experiences with collaborative map applications." PLOS ONE 17, no. 3 (2022): e0264426. http://dx.doi.org/10.1371/journal.pone.0264426.

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In the future, farmers will have increasing opportunities to use collaborative smartphone applications for agricultural management. Geospatial information in combination with agricultural-relevant information is a great source of knowledge for farmers. Including maps in collaborative mobile agriculture applications benefits communication processes related to agricultural-relevant questions. Ensuring a positive user experience with map interfaces depends on their design. To develop design guidelines for map-oriented mobile agricultural applications, this study evaluates 24 different map design
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Dissertations / Theses on the topic "User adaptation"

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Myrlund, Jonas. "User Adaptation in Anonymous Web Applications." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-27333.

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The goal of the project in this thesis is to explore the viability of an approach to user adaptation where the application context is significantly more constraining than in most cases seen in previous academic work.The project describes and implements a system for rolling out product features incrementally in an optimal way, based on feature adoption statistics within user segments. In other words, the described system should allow for simple personalization of the product.When analyzing the adoption rate of new features, we find that there are indeed clear differences between the identified
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Cocea, Mihaela. "User modelling and adaptation in exploratory learning." Thesis, Birkbeck (University of London), 2011. http://eprints.port.ac.uk/12174/.

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User modelling in Exploratory Learning Environments (ELEs) is an emerging field with several challenges to be addressed. Due to the freedom given to learners, the amount of information generated is very large, making the modelling process very challenging. Consequently, only relevant information should be used in the user modelling process. This, however, leads to other challenges such as identification of relevant information, finding an optimal knowledge representation and defining an inference mechanism by which this knowledge is used in diagnosing the learner. This thesis addresses the cha
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Marín, Isern Lucas. "Dynamic adaptation of user profiles in recommender systems." Doctoral thesis, Universitat Rovira i Virgili, 2013. http://hdl.handle.net/10803/123905.

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In a period of time in which the content available through the Internet increases exponentially and is more easily accessible every day, techniques for aiding the selection and extraction of important and personalised information are of vital importance. Recommender Systems (RS) appear as a tool to help the user in a decision making process by evaluating a set of objects or alternatives and aiding the user at choosing which one/s of them suits better his/her interests or preferences. Those preferences need to be accurate enough to produce adequate recommendations and should be updated
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Karagiannidis, Charalampos. "Supporting run-time adaptation in intelligent user interfaces." Thesis, University of Kent, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242908.

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Antona, Margherita Giovanna. "Process-oriented tool support for user interface adaptation design." Thesis, University of Kent, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409164.

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Carrara, Nicolas. "Reinforcement learning for dialogue systems optimization with user adaptation." Thesis, Lille 1, 2019. http://www.theses.fr/2019LIL1I071/document.

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Les systèmes d’intelligence artificielle les plus puissants utilisent désormais des modèles statistiques. Afin de construire des modèles efficaces, ces systèmes doivent collecter une quantité substantielle de données issues de l’environnement. Les assistants personnels, maisons connectées, serveurs vocaux et autres systèmes de dialogue ne font pas exception. Ces systèmes ont pour vocation d’interagir avec des humains, et pour cela, leurs données d’apprentissage se doivent d’être collectées avec ces mêmes humains. Parce que le nombre d’interactions avec une seule personne est assez faible, l’ap
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Xia, Qian, and n/a. "Leveraging Single-User Applications for Multi-User Collaboration." Griffith University. School of Information and Communication Technology, 2006. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20070216.093300.

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People rely on off-the-shelf commercial single-user software systems in their daily lives and work to perform single-user tasks. People also need groupware systems to perform collaborative or group tasks. The goal of this thesis work is to develop innovative techniques for building computer applications that combine conventional single-user functionalities with advanced collaboration capabilities to effectively support people's individual and group work. This thesis work contributes an innovative Transparent Adaptation (TA) approach and associated supporting techniques that can be used to conv
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Xia, Qian. "Leveraging Single-User Applications for Multi-User Collaboration." Thesis, Griffith University, 2006. http://hdl.handle.net/10072/366194.

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People rely on off-the-shelf commercial single-user software systems in their daily lives and work to perform single-user tasks. People also need groupware systems to perform collaborative or group tasks. The goal of this thesis work is to develop innovative techniques for building computer applications that combine conventional single-user functionalities with advanced collaboration capabilities to effectively support people's individual and group work. This thesis work contributes an innovative Transparent Adaptation (TA) approach and associated supporting techniques that can be used to conv
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Kämpfe, Tanja Katharina. "Content-based image retrieval and the use of neural networks for user adaptation." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=98305066X.

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Rashidi, Parisa. "Smart home adaptation based on explicit and implicit user feedback." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/p_rashidi_120707.pdf.

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Books on the topic "User adaptation"

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Carberry, Sandra, Stephan Weibelzahl, Alessandro Micarelli, and Giovanni Semeraro, eds. User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38844-6.

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Houben, Geert-Jan, Gord McCalla, Fabio Pianesi, and Massimo Zancanaro, eds. User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02247-0.

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Masthoff, Judith, Bamshad Mobasher, Michel C. Desmarais, and Roger Nkambou, eds. User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31454-4.

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De Bra, Paul, Alfred Kobsa, and David Chin, eds. User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13470-8.

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Ricci, Francesco, Kalina Bontcheva, Owen Conlan, and Séamus Lawless, eds. User Modeling, Adaptation and Personalization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20267-9.

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Dimitrova, Vania, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, and Geert-Jan Houben, eds. User Modeling, Adaptation, and Personalization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3.

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Martín, Estefanía, Pablo A. Haya, and Rosa M. Carro, eds. User Modeling and Adaptation for Daily Routines. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4778-7.

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Constantinos, Mourlas, and Germanakos Panagiotis, eds. Intelligent user interfaces: Adaptation and personalization systems and technologies. Information Science Reference, 2008.

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Wu, Xinran. Pricing and user adaptation for smooth and bursty traffic sources. National Library of Canada, 2002.

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Martín, Estefanía. User Modeling and Adaptation for Daily Routines: Providing Assistance to People with Special Needs. Springer London, 2013.

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Book chapters on the topic "User adaptation"

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Wasinger, Rainer, Michael Fry, Judy Kay, and Bob Kummerfeld. "User Modelling Ecosystems: A User-Centred Approach." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31454-4_31.

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Cristea, Alexandra, and Licia Calvi. "The Three Layers of Adaptation Granularity." In User Modeling 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44963-9_4.

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Bertini, Enrico, Andrea Calì, Tiziana Catarci, Silvia Gabrielli, and Stephen Kimani. "Interaction-Based Adaptation for Small Screen Devices." In User Modeling 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527886_36.

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Lehmann, Janette, Mounia Lalmas, Elad Yom-Tov, and Georges Dupret. "Models of User Engagement." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31454-4_14.

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Terzi, Maria, Matthew Rowe, Maria-Angela Ferrario, and Jon Whittle. "Text-Based User-kNN: Measuring User Similarity Based on Text Reviews." In User Modeling, Adaptation, and Personalization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3_17.

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Peng, Xiaoyan, and Daniel L. Silver. "User Control over User Adaptation: A Case Study." In User Modeling 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527886_61.

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Bohnert, Fabian, and Ingrid Zukerman. "A User-and Item-Aware Weighting Scheme for Combining Predictive User Models." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13470-8_11.

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Herder, Eelco, Patrick Siehndel, and Ricardo Kawase. "Predicting User Locations and Trajectories." In User Modeling, Adaptation, and Personalization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3_8.

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Plumbaum, Till. "Semantically-Enhanced Ubiquitous User Modeling." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13470-8_41.

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Peska, Ladislav. "User Feedback and Preferences Mining." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31454-4_41.

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Conference papers on the topic "User adaptation"

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Smith, Catherine L., and Paul B. Kantor. "User adaptation." In the 31st annual international ACM SIGIR conference. ACM Press, 2008. http://dx.doi.org/10.1145/1390334.1390362.

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Tsandilas, Theophanis, and m. c. schraefel. "User-controlled link adaptation." In the fourteenth ACM conference. ACM Press, 2003. http://dx.doi.org/10.1145/900051.900086.

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Yamamoto, Shuhei, Noriko Kando, and Tetsuji Satoh. "User-User Relationship Migration Observed in Communication Activity." In UMAP '16: User Modeling, Adaptation and Personalization Conference. ACM, 2016. http://dx.doi.org/10.1145/2930238.2930268.

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Zheng, Yong, Bamshad Mobasher, and Robin Burke. "User-Oriented Context Suggestion." In UMAP '16: User Modeling, Adaptation and Personalization Conference. ACM, 2016. http://dx.doi.org/10.1145/2930238.2930252.

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Yamabe, Tetsuo, and Kiyotaka Takahashi. "Experiments in Mobile User Interface Adaptation for Walking Users." In The 2007 International Conference on Intelligent Pervasive Computing (IPC 2007). IEEE, 2007. http://dx.doi.org/10.1109/ipc.2007.94.

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Gurbanov, Tural, Francesco Ricci, and Meinhard Ploner. "Modeling and Predicting User Actions in Recommender Systems." In UMAP '16: User Modeling, Adaptation and Personalization Conference. ACM, 2016. http://dx.doi.org/10.1145/2930238.2930284.

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Gossen, Tatiana, Marcus Nitsche, Jana Vos, and Andreas Nürnberger. "Adaptation of a Search User Interface towards User Needs." In the Symposium. ACM Press, 2013. http://dx.doi.org/10.1145/2528394.2528397.

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Lages, Wallace, and Doug Bowman. "Adjustable Adaptation for Spatial Augmented Reality Workspaces." In SUI '19: Symposium on Spatial User Interaction. ACM, 2019. http://dx.doi.org/10.1145/3357251.3358755.

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Cena, Federica, Cristina Gena, and Claudia Picardi. "An Experimental Study in Cross-Representation Mediation of User Models." In UMAP '16: User Modeling, Adaptation and Personalization Conference. ACM, 2016. http://dx.doi.org/10.1145/2930238.2930263.

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Owen, V. Elizabeth, Gabriella Anton, and Ryan Baker. "Modeling User Exploration and Boundary Testing in Digital Learning Games." In UMAP '16: User Modeling, Adaptation and Personalization Conference. ACM, 2016. http://dx.doi.org/10.1145/2930238.2930271.

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Reports on the topic "User adaptation"

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Weilandt, E., N. Khanchandani, and S. Rao. V5.2-User Adaptation Layer (V5UA). RFC Editor, 2004. http://dx.doi.org/10.17487/rfc3807.

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Morneault, K., S. Rengasami, M. Kalla, and G. Sidebottom. ISDN Q.921-User Adaptation Layer. RFC Editor, 2001. http://dx.doi.org/10.17487/rfc3057.

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Sidebottom, G., L. Coene, G. Verwimp, J. Keller, and B. Bidulock. Signalling Connection Control Part User Adaptation Layer (SUA). Edited by J. Loughney. RFC Editor, 2004. http://dx.doi.org/10.17487/rfc3868.

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Morneault, K., S. Rengasami, M. Kalla, and G. Sidebottom. Integrated Services Digital Network (ISDN) Q.921-User Adaptation Layer. RFC Editor, 2006. http://dx.doi.org/10.17487/rfc4233.

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Morneault, K., R. Dantu, G. Sidebottom, B. Bidulock, and J. Heitz. Signaling System 7 (SS7) Message Transfer Part 2 (MTP2) - User Adaptation Layer. RFC Editor, 2002. http://dx.doi.org/10.17487/rfc3331.

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Sidebottom, G., K. Morneault, and J. Pastor-Balbas, eds. Signaling System 7 (SS7) Message Transfer Part 3 (MTP3) - User Adaptation Layer (M3UA). RFC Editor, 2002. http://dx.doi.org/10.17487/rfc3332.

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Morneault, K., and J. Pastor-Balbas, eds. Signaling System 7 (SS7) Message Transfer Part 3 (MTP3) - User Adaptation Layer (M3UA). RFC Editor, 2006. http://dx.doi.org/10.17487/rfc4666.

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Swartout, William R., and Yolanda Gil. EXPECT: A User-Centered Environment for the Development and Adaptation of Knowledge-Based Planning Aids. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada459766.

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George, T., B. Bidulock, R. Dantu, H. Schwarzbauer, and K. Morneault. Signaling System 7 (SS7) Message Transfer Part 2 (MTP2) - User Peer-to-Peer Adaptation Layer (M2PA). RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4165.

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Hoy, Andreas, Åsa Gerger Swartling, and Elin Leander. Adopting a user-oriented approach to make climate information more accessible across Europe. Stockholm Environment Institute, 2022. http://dx.doi.org/10.51414/sei2022.009.

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Research from the ClimVis Europe project shows that climate information must be presented in more effective ways to reduce climate risks and support adaptation. Users need information that is easy to access, in their own language, and designed to help them make connections between real-time weather events and long-term climate developments. Users of weather and climate data in Europe are aware of only a few (if any) relevant, available tools that provide them with the insights into current, future and long-term meteorological trends that they seek. However, efforts to boost awareness of availa
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