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Journal articles on the topic 'User adaptation'

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Published: 4 June 2021
Last updated: 25 May 2024

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1

Shoham, Snunith. "User Adaptation to Public Services." Journal of Library Administration 6, no. 2 (August 30, 1985): 101–9. http://dx.doi.org/10.1300/j111v06n02_09.

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2

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

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3

Eid, Mustafa Ismail Mustafa, and Hani I. Abbas. "User adaptation and ERP benefits: moderation analysis of user experience with ERP." Kybernetes 46, no. 3 (March 6, 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 show that user adaptation of ERP has a strong positive impact on ERP user benefits. In addition, it is found that the level of user experience with ERP has no significant moderation effect on the relationship between user adaptation of ERP and ERP user benefits. Practical implications The study findings suggest that functional management should develop appropriate strategies to effectively manage user adaptation of ERP. An equally important implication is for the ERP vendors to consider making their ERP systems as flexible and maintainable as possible by offering effective tools to easily accommodate changes in user requirements with minimum effort and cost. Originality/value This study provides insights into the inter-relationships between the motivation for improving user adaptation of ERP and gaining more benefits from ERP systems. It will also extend our understanding of the moderation effect of user experience with ERP on the relationship between user adaptation of ERP and ERP user benefits in developing countries.
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4

Benyon, David, Thomas Kühme, Uwe Malinowsi, and Piyawadee Noi Sukaviriya. "Computer-aided adaptation of user interfaces." ACM SIGCHI Bulletin 26, no. 1 (January 1994): 25–27. http://dx.doi.org/10.1145/181526.181529.

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5

Di Cagno, Gianluca, Cyril Concolato, and Jean Claude Dufourd. "Multimedia adaptation in end-user terminals." Signal Processing: Image Communication 21, no. 3 (March 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 particularly on the development of speech recognition modules in cooperation with both modules for emotion recognition and speaker recognition, as well as the dialogue management module. Finally, it proposes an architecture of a conversational agent that integrates those modules and improves each of them based on some kind of synergies among themselves.
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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 (February 17, 2006): 374–92. http://dx.doi.org/10.1007/s10209-005-0002-z.

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9

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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10

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 (March 2, 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 variations (varying in their elements and degrees of complexity) and characterizes their user experience with 72 coffee farmers as study participants. Our findings show that the most crucial factors for a positive user experience were restricted interactivity, simple tasks to conduct (selecting single point features), and a simplified base map style, highlighting relevant landmarks. Since our farmers consisted primarily of less-experienced smartphone and map users, our findings may also be helpful for users in general, sharing similar user characteristics. While empirical, in-situ studies pose many challenges, they provide relevant insights into the real use situation and user behavior of mobile map applications. Our findings help establish some basic principles for designing map adaptations, serving as a guideline for creating effective mapping applications, which adapt to the farmers’ contextual factors. Based on our study results, we suggest future research for continuing conceptualizing principles of map design adaptation and support this effort through empirical, in-situ studies for relating contextual user factors to the adaptation behavior of map applications.
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11

Namara, Moses, Henry Sloan, and Bart P. Knijnenburg. "The Effectiveness of Adaptation Methods in Improving User Engagement and Privacy Protection on Social Network Sites." Proceedings on Privacy Enhancing Technologies 2022, no. 1 (November 20, 2021): 629–48. http://dx.doi.org/10.2478/popets-2022-0031.

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Abstract Research finds that the users of Social Networking Sites (SNSs) often fail to comprehensively engage with the plethora of available privacy features— arguably due to their sheer number and the fact that they are often hidden from sight. As different users are likely interested in engaging with different subsets of privacy features, an SNS could improve privacy management practices by adapting its interface in a way that proactively assists, guides, or prompts users to engage with the subset of privacy features they are most likely to benefit from. Whereas recent work presents algorithmic implementations of such privacy adaptation methods, this study investigates the optimal user interface mechanism to present such adaptations. In particular, we tested three proposed “adaptation methods” (automation, suggestions, highlights) in an online between-subjects user experiment in which 406 participants used a carefully controlled SNS prototype. We systematically evaluate the effect of these adaptation methods on participants’ engagement with the privacy features, their tendency to set stricter settings (protection), and their subjective evaluation of the assigned adaptation method. We find that the automation of privacy features afforded users the most privacy protection, while giving privacy suggestions caused the highest level of engagement with the features and the highest subjective ratings (as long as awkward suggestions are avoided). We discuss the practical implications of these findings in the effectiveness of adaptations improving user awareness of, and engagement with, privacy features on social media.
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Bau, Rahmat Taufik RL, and Arief Setyanto. "Adaptasi Skala User Experience Questionnaire Dalam Pengujian User Experience Sistem Repositori." Respati 15, no. 1 (March 10, 2020): 37. http://dx.doi.org/10.35842/jtir.v15i1.329.

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INTISARIDalam pengajuan kuesioner, penguji sering kali harus bertatap muka dengan responden agar responden mendapat pengarahan dan penjelasan mengenai produk yang akan diuji dalam kuesioner. Bagaimana jika responden dan penguji tidak berada pada tempat yang sama? Terlebih jika kuesioner yang diajukan berupa rentetan bundaran yang diapit oleh skala pada sisi kiri dan kanannya, seperti kuesioner UEQ. Adakah cara untuk bisa mengkontruksi bentuk kuesioner agar tidak terdapat interpretasi yang melenceng? Jurnal ini membahas tentang proses adaptasi skala UEQ dari skala -3 .. 0 .. +3 menjadi skala 1 .. 7 dengan menggunakan seven-stage scale dari skala likert. Hasil adaptasi skala ini kemudian diterapkan pada pengujian user experience sistem repositori Kota Gorontalo.Kata kunci—UEQ, skala Likert, adaptasi, kuesioner, user experience. ABSTRACT In submitting the questionnaire, the examiner must meet face-to-face with the respondent so that the respondent gets direction and explanation about the product that will be discussed in the questionnaire. What if the respondent and examiner do not depend on the same place? Especially if the questionnaire submitted is a series of roundabouts flanked by a scale on the left and right, such as the UEQ questionnaire. Is there a way to construct the form of the questionnaire so that it cannot be interpreted as deviant? This journal discusses the process of the UEQ adaptation scale from the scale of -3 .. 0 .. +3 to a scale of 1..7 using a seven-stage scale from the Likert scale. The results of this scale adaptation are then applied to the user experience testing on Gorontalo City repository system..Keywords— UEQ, Likert scale, adaptation, questionnaire, user experience.
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13

Beaudry and Pinsonneault. "Understanding User Responses to Information Technology: A Coping Model of User Adaptation." MIS Quarterly 29, no. 3 (2005): 493. http://dx.doi.org/10.2307/25148693.

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14

Sun, Chengzheng, Steven Xia, David Sun, David Chen, Haifeng Shen, and Wentong Cai. "Transparent adaptation of single-user applications for multi-user real-time collaboration." ACM Transactions on Computer-Human Interaction 13, no. 4 (December 2006): 531–82. http://dx.doi.org/10.1145/1188816.1188821.

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15

NITTA, Naoko, and Noboru BABAGUCHI. "User and Device Adaptation in Summarizing Sports Videos." IEICE Transactions on Information and Systems E92-D, no. 6 (2009): 1280–88. http://dx.doi.org/10.1587/transinf.e92.d.1280.

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16

Nam, J., Yong Man Ro, Y. Huh, and M. Kim. "Visual content adaptation according to user perception characteristics." IEEE Transactions on Multimedia 7, no. 3 (June 2005): 435–45. http://dx.doi.org/10.1109/tmm.2005.846801.

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17

Tobler, Nancy, Janet Colvin, and Neil W. Rawlins. "Longitudinal Analysis and Coping Model of User Adaptation." Journal of Computer Information Systems 57, no. 2 (July 22, 2016): 97–105. http://dx.doi.org/10.1080/08874417.2016.1183415.

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18

Bielikova, Maria, Eelco Herder, Federica Cena, and Michel Desmarais. "ACM UMAP 2017 - User Modeling, Adaptation and Personalization." ACM SIGWEB Newsletter, Winter (February 3, 2017): 1–5. http://dx.doi.org/10.1145/3027141.3027144.

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19

Kavcic, A. "Fuzzy User Modeling for Adaptation in Educational Hypermedia." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 34, no. 4 (November 2004): 439–49. http://dx.doi.org/10.1109/tsmcc.2004.833294.

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20

Reinecke, Katharina. "Automatic Adaptation of User Interfaces to Cultural Preferences." it - Information Technology 54, no. 2 (April 2012): 96–100. http://dx.doi.org/10.1524/itit.2012.0669.

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21

García-galán, Jesús, Liliana Pasquale, Pablo Trinidad, and Antonio Ruiz-Cortés. "User-Centric Adaptation Analysis of Multi-Tenant Services." ACM Transactions on Autonomous and Adaptive Systems 10, no. 4 (February 3, 2016): 1–26. http://dx.doi.org/10.1145/2790303.

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22

Fierrez-Aguilar, Julian, Daniel Garcia-Romero, Javier Ortega-Garcia, and Joaquin Gonzalez-Rodriguez. "Bayesian adaptation for user-dependent multimodal biometric authentication." Pattern Recognition 38, no. 8 (August 2005): 1317–19. http://dx.doi.org/10.1016/j.patcog.2005.01.013.

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23

Zhang, Jie, Tanja Mitrovic, David Chin, and Li Chen. "ACM UMAP 2018 - User Modeling, Adaptation and Personalization." ACM SIGWEB Newsletter, Winter (March 9, 2018): 1–5. http://dx.doi.org/10.1145/3183639.3183641.

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24

Fehringer, Hannah, and Christian Stary. "User-Informed Adaptation in IoT Home Healthcare: Grounding Development in Empirical Evidence." Journal of Theoretical and Applied Electronic Commerce Research 18, no. 4 (October 17, 2023): 1901–25. http://dx.doi.org/10.3390/jtaer18040096.

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IoT (Internet of Things)-enabled products are increasingly used by consumers and continuously propagate in daily life. Billions of networked objects not only increase the complexity of development but also raise user interaction and adaptation to individual needs. The more non-expert users are involved in decision making, interaction, and adaptation processes, the more user-centric IoT design is crucial, particularly when the number of elderly users is steadily increasing. In this paper, we study the capabilities of adopting IoT products through user-informed adaptation in a major IoT application domain, home healthcare. We review evidence from established practice in the field on how users can be supported when aiming to adapt medical IoT (M-IoT) home applications to their needs. We examine the empirically grounded use of IoT sensors and actuators, as well as the adaptation process users adopt when using an IoT application in a personalized environment. Our analysis (technological evidence) reveals various IoT devices that have already been applied in M-IoT adaptation settings to effectively support users. Our analysis reveals that only few empirically sound findings exist on how users actually perceive interactive adaptation features and redesign M-IoT applications. Based on the analysis of these empirically grounded findings, we suggest the development of a domain-specific user-centric adaptation feature. Specifically, we exemplify a tangible adaptation device for user-informed M-IoT application in home healthcare. It has been developed prototypically and tested in an environment for personalized home healthcare.
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Isiaka, Fatima, Zainab Adamu, and Muhammad A. Adamu. "User Experience Adaptation of Complex Game Interface for User Behaviour Modeling Using RNN." International Journal of Crowd Science 6, no. 4 (November 2022): 159–66. http://dx.doi.org/10.26599/ijcs.2022.9100021.

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Yigitbas, Enes, Ivan Jovanovikj, Kai Biermeier, Stefan Sauer, and Gregor Engels. "Integrated model-driven development of self-adaptive user interfaces." Software and Systems Modeling 19, no. 5 (January 27, 2020): 1057–81. http://dx.doi.org/10.1007/s10270-020-00777-7.

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Abstract Modern user interfaces (UIs) are increasingly expected to be plastic, in the sense that they retain a constant level of usability, even when subjected to context changes at runtime. Self-adaptive user interfaces (SAUIs) have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. The development of SAUIs is a challenging and complex task as additional aspects like context management and UI adaptation have to be covered. In classical model-driven UI development approaches, these aspects are not fully integrated and hence introduce additional complexity as they represent crosscutting concerns. In this paper, we present an integrated model-driven development approach where a classical model-driven development of UIs is coupled with a model-driven development of context-of-use and UI adaptation rules. We base our approach on the core UI modeling language IFML and introduce new modeling languages for context-of-use (ContextML) and UI adaptation rules (AdaptML). The generated UI code, based on the IFML model, is coupled with the context and adaptation services, generated from the ContextML and AdaptML model, respectively. The integration of the generated artifacts, namely UI code, context, and adaptation services in an overall rule-based execution environment, enables runtime UI adaptation. The benefit of our approach is demonstrated by two case studies, showing the development of SAUIs for different application scenarios and a usability study which has been conducted to analyze end-user satisfaction of SAUIs.
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Alipour, Mina, Mahyar T. Moghaddam, Karthik Vaidhyanathan, and Mikkel Baun Kjærgaard. "Emoticontrol: Emotions-based Control of User-Interfaces Adaptations." Proceedings of the ACM on Human-Computer Interaction 7, EICS (June 14, 2023): 1–29. http://dx.doi.org/10.1145/3593227.

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Emotions are integral to human nature, and their existence, duration, and evolution could lead to specific behaviors. If emotions and behaviors are ignored in the design of socio-technical systems, they will fail or cause discomfort. User interfaces (UIs) are elements of interactive systems able to trigger or moderate emotions. UIs are increasingly designed adaptive to users' various characteristics, intending to improve their satisfaction, performance, and decisions. However, previous adaptation supervising approaches are not effectively adopted in real life since they neglect the dynamic behaviors of humans or systems. This paper proposes Emoticontrol, a quality-driven approach to adapting UIs to users' emotions using Model-Free Reinforcement Learning (MFRL). The approach aims to maximize applying the essential adaptations and minimize the unnecessary ones towards users' enhanced quality of experience (QoE). The approach also considers improving the software quality of service (QoS) by designing software architecture alternatives. We chose emergency evacuation training as a suitable evaluation domain since people experience intense emotions in potential danger. We performed experiments with a mobile application we developed that acts as a recommender system in evacuation training. By taking contextual input of the users' basic emotions from face recognition, the application intelligently adapts its UI to quickly lead people to safe areas while keeping them emotionally controlled. We consider software performance a crucial QoS; thus, we adopt and test architectures that facilitate an acceptable level of performance. The evaluation process confirms the efficiency and effectiveness of the MFRL in iterations, as well as compared to other UI adaptation techniques.
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Mustafa, Faisal, Zulfadli A. Aziz, and Ihsanul Khabri. "Translation techniques used in translating a smartphone user manual." Englisia: Journal of Language, Education, and Humanities 9, no. 1 (November 7, 2021): 33. http://dx.doi.org/10.22373/ej.v9i1.10494.

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As many smartphones are imported from overseas and the user manuals are written in English, the translation of a user manual is, therefore, very important for the Indonesian customers whose English is not their second language. Good translation results are then very essential in order that the customers understand the information easily and clearly. The focus of this research is the bilingual English-Indonesian Samsung’s GT-19500 user manual. This research aims to find translation techniques applied in the book. In this descriptive research, the sentences were the tokens that were recorded in Microsoft Excel. The tokens were then analyzed based on the categories of translation techniques in question. It was found that there were nine translation techniques used in the user manual. The translation techniques used in Samsung’s GT-19500 user manual are borrowing (41%), literal translation (25%), calque (13%), transposition (7%), equivalence (6%), adaptation (5.3%), modulation (3%), and omission (2%). Therefore, the techniques used in translating a smartphone user manual are unique to this type of document because the document consists of many terms without Indonesian equivalence.
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Yang, Seung-Eun, Kwang-Hyun Park, and Zeungnam Bien. "Gesture Spotting Using Fuzzy Garbage Model and User Adaptation." International Journal of Fuzzy System Applications 1, no. 3 (July 2011): 47–65. http://dx.doi.org/10.4018/ijfsa.2011070104.

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Thanks to the rapid advancement of human-computer interaction technologies it is becoming easier for the elderly and/or people with disabilities to operate various electrical systems. Operation of home appliances by using a set of predefined hand gestures is an example. However, hand gesture recognition may fail when the predefined command gestures are similar to some ordinary but meaningless behaviors of the user. This paper uses a gesture spotting method to recognize a designated gesture from other similar gestures. A fuzzy garbage model is proposed to provide a variable reference value to determine whether the user’s gesture is the command gesture or not. Further, the authors propose two-stage user adaptation to enhance recognition performance: that is, off-line (batch) adaptation for inter-person variation and on-line (incremental) adaptation for intra-person variation. For implementation of the two-stage adaptation method, a genetic algorithm (GA) and the steepest descent method are adopted for each stage. Experimental results were obtained for 5 different users with left and up command gestures.
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SAVIDIS, ANTHONY, MARGHERITA ANTONA, and CONSTANTINE STEPHANIDIS. "A DECISION-MAKING SPECIFICATION LANGUAGE FOR VERIFIABLE USER-INTERFACE ADAPTATION LOGIC." International Journal of Software Engineering and Knowledge Engineering 15, no. 06 (December 2005): 1063–94. http://dx.doi.org/10.1142/s0218194005002646.

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In automatic user interface adaptation, developers pursue the delivery of best-fit user interfaces according to the runtime-supplied profiles of individual end users and usage contexts. Software engineering of automatic interface adaptability entails: (a) storage and processing of user and usage-context profiles; (b) design and implementation of alternative interface components, to optimally support the various user activities and interface operations for different users and usage contexts; and (c) runtime decision-making, to choose on the fly the most appropriate alternative interface components, given the particular user and context profile. In automatic interface adaptation, the decision making process plays a key role in optimal on-the-fly interface assembly, engaging consolidated design wisdom in a computable form. A verifiable language has been designed and implemented which is particularly suited for the specification of adaptation-oriented decision-making logic, while also being easily deployable and usable by interface designers. This paper presents the language, its contextual role in adapted interface delivery and the automatic verification method. The employment of the language in an adaptation-design support tool is discussed, the latter automatically generating language rules by relying upon adaptation rule patterns. Finally, the deployment methodology of the language in supporting dynamic interface assembly is discussed, further generalizing towards dynamic software assembly, by introducing architectural contexts and polymorphic architectural containment.
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Bouchelligua, W., A. Mahfoudhi, and M. Abed. "A Model Driven Engineering Approach Toward User Interfaces Adaptation." International Journal of Adaptive, Resilient and Autonomic Systems 3, no. 1 (January 2012): 65–86. http://dx.doi.org/10.4018/jaras.2012010104.

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In ubiquitous computing, the context of use (user, platform, environment) is in a permanent change. This has brought about new challenges in the Human Computer Interface (HCI) engineering to obtain User Interfaces (UI) that are compliant to their context of use. This paper has benefitted from the interests of parameterized principle transformation in the framework of the Model Driven Engineering (MDE) to propose approaches based on the models for the generation of the adaptable UI. It provides meta-models for the various components of the context of use which plays the role of the transformation parameter of the abstract interface into a concrete interface. It is through a case study of an information system of industrial supervision that the approach is shown to be reliable.
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Zhang, Zhiyuan, Yun Liu, Guandong Xu, and Haiqiang Chen. "A weighted adaptation method on learning user preference profile." Knowledge-Based Systems 112 (November 2016): 114–26. http://dx.doi.org/10.1016/j.knosys.2016.09.003.

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33

Ahmadi, Hamed, and Jun Kong. "User-centric adaptation of Web information for small screens." Journal of Visual Languages & Computing 23, no. 1 (February 2012): 13–28. http://dx.doi.org/10.1016/j.jvlc.2011.09.002.

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34

Rossi, Silvia, François Ferland, and Adriana Tapus. "User profiling and behavioral adaptation for HRI: A survey." Pattern Recognition Letters 99 (November 2017): 3–12. http://dx.doi.org/10.1016/j.patrec.2017.06.002.

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Jevtić, Aleksandar, Adrià Colomé, Guillem Alenyà, and Carme Torras. "Robot motion adaptation through user intervention and reinforcement learning." Pattern Recognition Letters 105 (April 2018): 67–75. http://dx.doi.org/10.1016/j.patrec.2017.06.017.

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Octavia, Johanna Renny, Chris Raymaekers, and Karin Coninx. "Adaptation in virtual environments: conceptual framework and user models." Multimedia Tools and Applications 54, no. 1 (April 27, 2010): 121–42. http://dx.doi.org/10.1007/s11042-010-0525-z.

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37

Soui, Makram, Khaled Ghedira, and Mourad Abed. "Evaluating User Interface Adaptation using the Context of Use." International Journal of Adaptive, Resilient and Autonomic Systems 6, no. 1 (January 2015): 1–24. http://dx.doi.org/10.4018/ijaras.2015010101.

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The aim of adaptive user interface is to provide different layouts and relevant information according to the current context-of-use (users, platforms and environments). Today, these systems are indispensable to those who want to retrieve appropriate information with less effort at anytime and anywhere. In this paper, the authors present an approach to automatically evaluate UI adaptation at runtime. The idea consists on foreseeing the evaluation from the early stages of application development by integrating a tracing system which represents the first phase of a user-centred approach for the design and the evaluation of adaptive system (AS) called MetTra (evaluation METhod based on a TRAcing system). In fact, the authors will explain in depth the stages of tracing mechanism integration in AS design, with illustrations concerning transport applications. Finally, they will propose some future works.
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Banouar, Oumayma, and Said Raghay. "Enriching SPARQL Queries by User Preferences for Results Adaptation." International Journal of Software Engineering and Knowledge Engineering 28, no. 08 (August 2018): 1195–221. http://dx.doi.org/10.1142/s0218194018500353.

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Systems of data integration using ontologies aim to implement a collaborative environment between sources for sharing data and services to respond a user request for information. Their users’ requests are an exact expression of their needs. However, the multiplicity of data sources, their scalability and the increasing difficulty to control their descriptions and their contents are the reasons behind the implacability of this assumption today. The users now may not know the data sources they questioned, nor their description or content. Consequently, their queries reflect no more a need that must be satisfied but an intention that must be refined according to data sources available at the time of interrogation. In this work, we present a semantic-based approach to enrich user’ queries expressed in SPARQL Language by his preferences in order to adapt the returned results and make them more precise and more relevant. The proposed approach is applied on a movies management system based on the standard MovieLens dataset. The obtained results are compared to existing approaches according to precision and recall measures. Our approach improved the precision with 26% and the recall with 7% comparing to those of previous study using collaborative filtering.
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Marin, Lucas, David Isern, and Antonio Moreno. "Dynamic adaptation of numerical attributes in a user profile." Applied Intelligence 39, no. 2 (March 2, 2013): 421–37. http://dx.doi.org/10.1007/s10489-012-0421-5.

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Oppermann, Reinhard. "From User-adaptive to Context-adaptive Information Systems (Von benutzeradaptiven zu kontextadaptiven Informationssystemen)." i-com 4, no. 3/2005 (March 1, 2005): 4–14. http://dx.doi.org/10.1524/icom.2005.4.3.4.

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SummaryThis paper introduces context-adaptive information systems reflecting the current needs of the user. Context-adaptive information systems reflect more than classical user-adaptive systems where user and task characteristics are considered for adaptation. In context-adaptive information systems the usage episode is additionally defined by the time and the location, by the physical and social environment and the technical infrastructure and eventually by relevant situational characteristic such as sound, light or movement.To begin with, the rationality of adaptive systems and the concept of context-adaptiveness will be explained. Based upon the description of the three functions of adaptivity, i.e., the interaction logging, adaptation inference and adaptation performance, we describe user-adaptive and context-adaptive systems and the role sharing between the system and the user during the adaptation process. Techniques of location-awareness as currently an important determinant of context are described showing advantages and disadvantages for several application scenarios. At the end, application examples are presented for context-adaptive systems to understand the utility of context-adaptiveness in different fields of information and communication services.
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41

Alipour, Mina, Éric Céret, and Sophie Dupuy-Chessa. "A Framework for User Interface Adaptation to Emotions and their Temporal Aspects." Proceedings of the ACM on Human-Computer Interaction 7, EICS (June 14, 2023): 1–25. http://dx.doi.org/10.1145/3593238.

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Designing and adapting user interfaces (UIs) based on context and individuals' dynamic characteristics is essential to improve user experience and performance. Emotions are a significant aspect of users' characteristics since they lead to certain behaviors. Consequently, adopting emotions in UI adaptation is a crucial task for developers. However, it is difficult considering the various characteristics of emotions, particularly their variability and temporal aspects. This paper presents a framework for UI adaptation covering specific dimensions of emotions and their temporal aspects. More specifically, the mechanism permits UI adaptation to i)different types of emotions categorizations (basic emotions, facial action units, and arousal/valence) and ii) timing (duration) based on different emotions consolidation. Examples from a serious game prototype illustrate the proposed adaptation mechanisms.
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Plesca, Cezar, Vincent Charvillat, and Romulus Grigoras. "Adapting Content Delivery to Limited Resources and Inferred User Interest." International Journal of Digital Multimedia Broadcasting 2008 (2008): 1–13. http://dx.doi.org/10.1155/2008/171385.

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This paper discusses adaptation policies for information systems that are subject to dynamic and stochastic contexts such as mobile access to multimedia web sites. In our approach, adaptation agents apply sequential decisional policies under uncertainty. We focus on the modeling of such decisional processes depending on whether the context is fully or partially observable. Our case study is a movie browsing service in a mobile environment that we model by using Markov decision processes (MDPs) and partially observable MDP (POMDP). We derive adaptation policies for this service, that take into account the limited resources such as the network bandwidth. We further refine these policies according to the partially observable users' interest level estimated from implicit feedback. Our theoretical models are validated through numerous simulations.
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43

Rowe, Jonathan, and James Lester. "Modeling User Knowledge with Dynamic Bayesian Networks in Interactive Narrative Environments." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 6, no. 1 (October 10, 2010): 57–62. http://dx.doi.org/10.1609/aiide.v6i1.12403.

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Recent years have seen a growing interest in interactive narrative systems that dynamically adapt story experiences in response to users’ actions, preferences, and goals. However, relatively little empirical work has investigated runtime models of user knowledge for informing interactive narrative adaptations. User knowledge about plot scenarios, story environments, and interaction strategies is critical in a range of interactive narrative contexts, such as mystery and detective genre stories, as well as narrative scenarios for education and training. This paper proposes a dynamic Bayesian network approach for modeling user knowledge in interactive narrative environments. A preliminary version of the model has been implemented for the Crystal Island interactive narrative-centered learning environment. Results from an initial empirical evaluation suggest several future directions for the design and evaluation of user knowledge models for guiding interactive narrative generation and adaptation.
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Janarthanam, Srinivasan, and Oliver Lemon. "Adaptive Generation in Dialogue Systems Using Dynamic User Modeling." Computational Linguistics 40, no. 4 (December 2014): 883–920. http://dx.doi.org/10.1162/coli_a_00203.

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We address the problem of dynamically modeling and adapting to unknown users in resource-scarce domains in the context of interactive spoken dialogue systems. As an example, we show how a system can learn to choose referring expressions to refer to domain entities for users with different levels of domain expertise, and whose domain knowledge is initially unknown to the system. We approach this problem using a three step process: collecting data using a Wizard-of-Oz method, building simulated users, and learning to model and adapt to users using Reinforcement Learning techniques. We show that by using only a small corpus of non-adaptive dialogues and user knowledge profiles it is possible to learn an adaptive user modeling policy using a sense-predict-adapt approach. Our evaluation results show that the learned user modeling and adaptation strategies performed better in terms of adaptation than some simple hand-coded baseline policies, with both simulated and real users. With real users, the learned policy produced around a 20% increase in adaptation in comparison to an adaptive hand-coded baseline. We also show that adaptation to users' domain knowledge results in improving task success (99.47% for the learned policy vs. 84.7% for a hand-coded baseline) and reducing dialogue time of the conversation (11% relative difference). We also compared the learned policy to a variety of carefully hand-crafted adaptive policies that employ the user knowledge profiles to adapt their choices of referring expressions throughout a conversation. We show that the learned policy generalises better to unseen user profiles than these hand-coded policies, while having comparable performance on known user profiles. We discuss the overall advantages of this method and how it can be extended to other levels of adaptation such as content selection and dialogue management, and to other domains where adapting to users' domain knowledge is useful, such as travel and healthcare.
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Sushil, Shrestha, Poudel Prashant, Adhikari Siza, and Adhikari Isha. "Adaptive menu: A review of adaptive user interface." Trends in Computer Science and Information Technology 7, no. 3 (December 13, 2022): 103–6. http://dx.doi.org/10.17352/tcsit.000059.

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Intelligent User Interface (IUI) is an emerging interdisciplinary research area that focuses on improving the usability of existing user interfaces. Adaptive menus are the part of the IUI that is trying to improve existing menus’ usability by reducing the selection time. This paper surveys the most relevant studies that are carried out in this field. First, it introduces an Adaptive User Interface (AUI) and adaptive menus then describe various adaptation styles and adaptation policies that are being used in adaptive menus along with their benefits and drawbacks. It then lists the applications of adaptive systems and how they can be used, as well as the limitations and future direction of the work.
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Picking, Clare, Helen Pain, Clare Picking, and Helen Pain. "Home Adaptations: User Perspectives on the Role of Professionals." British Journal of Occupational Therapy 66, no. 1 (January 2003): 2–8. http://dx.doi.org/10.1177/030802260306600102.

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People with disabilities often carry much of the responsibility for the process of making adaptations to their homes and look to the professionals involved for support. The study described in this article asked people with disabilities whether they believed that they received appropriate professional support, information and practical help when adapting their homes and sought to learn more about their feelings about the adaptation process. A qualitative research method, using three focus groups in different geographical areas, was carried out with a purposive sample of participants who had received adaptations to their homes and had been assisted by their local authorities. The groups comprised participants from urban and rural populations, who had a mix of housing tenure and a variety of professional support. The findings demonstrated that this method was appropriate as a means of both discovering how people felt about the process and identifying what they found to be the most helpful assistance from the professionals involved. The study suggested that when problems arose or delays were experienced during the building process, an occupational therapist was not the only appropriate professional to provide support because this could be given in a variety of ways by different professionals and helping agencies. The study also suggested that, given sufficient information and choice, some people with disabilities preferred to organise their own adaptations, could manage with minimal professional intervention and should be empowered to do so.
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Sato, Tomomasa, Mehrab Hosseinbor, Takeru Kuroiwa, Rui Fukui, Jun Tamura, and Taketoshi Mori. "Behavior and Personal Adaptation of Robotic Lamp." Journal of Robotics and Mechatronics 17, no. 1 (February 20, 2005): 69–76. http://dx.doi.org/10.20965/jrm.2005.p0069.

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Based on the concept of “behavior adaptation,” this paper presents an intelligent desk lamp called “Robotic Lamp” that supports users by illuminating desired areas in desired way according to user’s behavior. The user defines desired scenario using a GUI. A high resolution pressure sensor distributed floor is used to recognize user behavior. The system utilizes a five degree-of-freedom robotic lamp not only as an illumination tool but also as an input device in case the user moves it by physical contact. Experiments showed that the system can adapt to user behavior and can receive commands in case it has been moved by user. The adaptation process for the robotic lamp is proved to realize an automatic system that illuminates user-defined areas based on user behavior.
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48

Kawanishi, Yasutomo, Hiroshi Murase, Satoshi Komorita, and Sei Naito. "Aggregating Everyday Outfits by Incremental Clustering With Interactive User Adaptation." IEEE Access 9 (2021): 121467–75. http://dx.doi.org/10.1109/access.2021.3104973.

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López-Jaquero, Víctor. "A Profile and Design Space for Characterizing User Interface Adaptation." International Joural of User-System Interaction 14, no. 2 (2021): 47–67. http://dx.doi.org/10.37789/ijusi.2021.14.2.1.

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Bouchelligua, Wided, Adel Mahfoudhi, and Mourad Abed. "Model Driven Adaptation and Usability for Context Aware User Interfaces." International Journal of Computer Applications 54, no. 3 (September 25, 2012): 30–47. http://dx.doi.org/10.5120/8547-2106.

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