Academic literature on the topic 'User survey'

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Journal articles on the topic "User survey"

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McKiel, Allen. "Survey Analysis: ebrary User Survey." Acquisitions Librarian 19, no. 3-4 (June 11, 2008): 231–45. http://dx.doi.org/10.1080/08963570802177253.

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Busch, Joseph A. "AAT User Survey." Art Documentation: Journal of the Art Libraries Society of North America 8, no. 1 (April 1989): 26. http://dx.doi.org/10.1086/adx.8.1.27948007.

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Lee, P. Y., and R. E. Holliman. "Microbiology user satisfaction survey." Journal of Clinical Pathology 49, no. 7 (July 1, 1996): 615. http://dx.doi.org/10.1136/jcp.49.7.615-a.

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Hsu, P. Peggy. "MEDLINE End-User Survey." Medical Reference Services Quarterly 10, no. 1 (April 16, 1991): 49–64. http://dx.doi.org/10.1300/j115v10n01_04.

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Myers, Brad A., and Mary Beth Rosson. "User interface programming survey." ACM SIGCHI Bulletin 23, no. 2 (March 1991): 27–30. http://dx.doi.org/10.1145/122488.122491.

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Briggs, J. S., and C. J. Fitch. "The ISABEL user survey." Medical Informatics and the Internet in Medicine 30, no. 2 (January 2005): 167–72. http://dx.doi.org/10.1080/14639230500298735.

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Riggs, Leland S., and Robert M. Schenk. "Arbitration: Survey on User Satisfaction." Journal of Performance of Constructed Facilities 4, no. 2 (May 1990): 88–99. http://dx.doi.org/10.1061/(asce)0887-3828(1990)4:2(88).

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Carmagnola, Francesca, Federica Cena, and Cristina Gena. "User model interoperability: a survey." User Modeling and User-Adapted Interaction 21, no. 3 (February 18, 2011): 285–331. http://dx.doi.org/10.1007/s11257-011-9097-5.

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BREMBER, V. L., and P. LEGGATE. "LINKING A MEDICAL USER SURVEY TO MANAGEMENT FOR LIBRARY EFFECTIVENESS: I, THE USER SURVEY." Journal of Documentation 41, no. 1 (January 1985): 1–14. http://dx.doi.org/10.1108/eb026770.

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Talbot, Dawn E., Gerald R. Lowell, and Kerry Martin. "From the users' perspective—The UCSD libraries user survey project." Journal of Academic Librarianship 24, no. 5 (September 1998): 357–64. http://dx.doi.org/10.1016/s0099-1333(98)90072-6.

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Dissertations / Theses on the topic "User survey"

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Magno, Marianna B. "Survey of user authentication mechanisms." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://hdl.handle.net/10945/9046.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1996.
Thesis advisor(s): William J. Haga, Douglas E. Brinkley. "September 1996." Includes bibliographical references (p. 61-63). Also available online.
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Pomerantz, Jeffrey. "A Repeated Survey Analysis of AskERIC User Survey Data, 1998-2002." Neal-Schuman Publishers, Inc, 2004. http://hdl.handle.net/10150/106201.

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Four surveys of users of the AskERIC email reference service were conducted, during the years 1998, 2000, 2001, and 2002. These surveys presented a snapshot of the AskERIC user population and user satisfaction at a single point in time. This paper reanalyzes the findings from these surveys utilizing repeated survey techniques. This paper presents the evolution of some of the demographics of AskERICâ s user population over time, as well as the evolution of AskERIC user behavior. As perhaps the oldest AskA service in existence, this analysis of AskERIC data sheds light on the evolution of all AskA services, and of email-based reference services in general.
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Tamada, Hiroshi. "User information satisfaction survey on HealthNet Nepal." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/70292.

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McGraw, Cathy. "Montreal Association for the Blind user satisfaction survey." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ37290.pdf.

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Siler, Emily A. "Evaluation of a Bicycle Facility User Survey in the Dayton, Ohio Area." Ohio University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1470257342.

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Ward, Stephen James Safety Science Faculty of Science UNSW. "Designers and users: a survey of user research methods employed by Australian industrial designers." Awarded by:University of New South Wales. School of Safety Science, 2006. http://handle.unsw.edu.au/1959.4/26206.

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Designers of mass produced products require knowledge about anticipated users of their designs in order to make reasonable predictions about how users will interact with a product and how that product will satisfy users??? needs. However, there is little reported study of how industrial designers get the information they need about users, or to what extent they adapt and use information available from fields of study such as ergonomics or market research. Study in this area is important, in order to have a knowledge base that will support development of methods and data sources that may help designers and others bring a better understanding of users into the product design process. In this study, group interviews and a questionnaire were used to ask industrial designers how and where they get information about users, and about their perceptions of the role and value of user research in design. The group discussions involved a total of 45 participants from nine companies in Sydney. A questionnaire that followed was completed by 35 respondents representing at least 15 different design consultancy companies throughout Australia. Results showed that the designers surveyed used many of the methods promoted in the literature of ergonomics, design and market research, but often in a cut-down form. For example, there was widespread use of work colleagues and family members as test subjects. Designers used quantitative information where it was applicable but often sought qualitative information that would provide insights or enable them to develop empathic understanding of the users. Time and cost constraints limited the extent to which designers could engage in user research activity but there was general agreement that user research was a necessary part of design and that in the future designers will require a stronger capability in user research. Further research could focus on the evaluation of user research methods used in design and the potential for further collaboration between designers and other specialists in this area.
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Bao, Qing 1980. "Survey of the techniques for developing and using user profiles." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81265.

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The rapid evolution of e-commerce brings more and more interest in personalized services for each individual user. As a key component of personalization, user profiles become the center of attention, and have been widely studied with seriousness. This thesis is a survey on main aspects of the user profiles, focusing on techniques for developing and using user profiles, including introduction and discussion on privacy and security considerations, and international standards. In addition, the thesis considers the future direction of user profiles.
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Korman, Randi M. "Assessing the essence biosurveillance system results of a user survey." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5783.

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Approved for public release; distribution is unlimited
The Navy and Marine Corps use the ESSENCE system for early detection of diseases and other public health threats to the force and for situational awareness on the location and spread of such diseases. In accordance with BUMEDINST 6220.12B, the NMCPHC sponsored a survey to better understand ESSENCE account holders' training on the system, employment of the system, and their perceived value of the system. The survey was sent to 225 Navy and Marine Crops users with either an active or a disabled ESSENCE account. Ultimately, 143 of the users responded to the survey for a 64 percent response rate. Survey findings conclude that, overall, nine out of 10 ESSENCE account holders, past and present, favor using the system, find it valuable, and believe the training they received has been adequate. However, users raised four issues: 1) it takes an excessive amount of time to obtain an account, 2) passwords are required to be changed too often, 3) there are too many miscodings leading to excessive false positive signals, and 4) training and training tools are insufficient.
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Bengtsson, Camilla, and Caroline Englund. "“Do you want to take a short survey?” : Evaluating and improving the UX and VUI of a survey skill in the social robot Furhat: a qualitative case study." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76923.

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The purpose of this qualitative case study is to evaluate an early stage survey skill developed for the social robot Furhat, and look into how the user experience (UX) and voice user interface (VUI) of that skill can be improved. Several qualitative methods have been used: expert evaluations using heuristics for human-robot interaction (HRI), user evaluations including observations and interviews, as well as a quantitative questionnaire (RoSAS – Robot Social Attribution Scale). The empirical findings have been classified into the USUS Evaluation Framework for Human-Robot Interaction. The user evaluations were performed in two modes, one group of informants talked and interacted with Furhat with the support of a graphical user interface (GUI), and the other group without the GUI. A positive user experience was identified in both modes, showing that the informants found interacting with Furhat a fun, engaging and interesting experience. The mode with the supportive GUI could be suitable in noisy environments, and for longer surveys with many response alternatives to choose from, whereas the other mode could work better for less noisy environments and for shorter surveys. General improvements that can contribute to a better user experience in both modes were found; such as having the robot adopt a more human-like character when it comes to the dialogue and the facial expressions and movements, along with addressing a number of technical and usability issues.
Syftet med den här kvalitativa fallstudien är att utvärdera en enkätskill för den sociala roboten Furhat. Förutom utvärderingen av denna skill, som är i ett tidigt skede av utvecklingen, är syftet även att undersöka hur användarupplevelsen (UX) och röstgränssnittet (VUI) kan förbättras. Olika kvalitativa metoder har använts: expertutvärderingar med heuristik för MRI (människa-robot-interaktion), användarutvärderingar bestående av observationer och intervjuer, samt ett kvantitativt frågeformulär (RoSAS – Robot Social Attribution Scale). Resultaten från dessa har placerats in i ramverket USUS Evaluation Framework for Human- Robot Interaction. Användarutvärderingarna utfördes i två olika grupper: en grupp pratade och interagerade med Furhat med stöd av ett grafiskt användargränssnitt (GUI), den andra hade inget GUI. En positiv användarupplevelse konstaterades i båda grupperna: informanterna tyckte att det var roligt, engagerande och intressant att interagera med Furhat. Att ha ett GUI som stöd kan passa bättre för bullriga miljöer och för längre enkäter med många svarsalternativ att välja bland, medan ett GUI inte behövs för lugnare miljöer och kortare enkäter. Generella förbättringar som kan bidra till att höja användarupplevelsen hittades i båda grupperna; till exempel att roboten bör agera mer människolikt när det kommer till dialogen och ansiktsuttryck och rörelser, samt att åtgärda ett antal tekniska problem och användbarhetsproblem.
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Early, Kirstin. "Dynamic Question Ordering: Obtaining Useful Information While Reducing User Burden." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1117.

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As data become more pervasive and computing power increases, the opportunity for transformative use of data grows. Collecting data from individuals can be useful to the individuals (by providing them with personalized predictions) and the data collectors (by providing them with information about populations). However, collecting these data is costly: answering survey items, collecting sensed data, and computing values of interest deplete finite resources of time, battery, life, money, etc. Dynamically ordering the items to be collected, based on already known information (such as previously collected items or paradata), can lower the costs of data collection by tailoring the information-acquisition process to the individual. This thesis presents a framework for an iterative dynamic item ordering process that trades off item utility with item cost at data collection time. The exact metrics for utility and cost are application-dependent, and this frame- work can apply to many domains. The two main scenarios we consider are (1) data collection for personalized predictions and (2) data collection in surveys. We illustrate applications of this framework to multiple problems ranging from personalized prediction to questionnaire scoring to government survey collection. We compare data quality and acquisition costs of our method to fixed order approaches and show that our adaptive process obtains results of similar quality at lower cost. For the personalized prediction setting, the goal of data collection is to make a prediction based on information provided by a respondent. Since it is possible to give a reasonable prediction with only a subset of items, we are not concerned with collecting all items. Instead, we want to order the items so that the user provides information that most increases the prediction quality, while not being too costly to provide. One metric for quality is prediction certainty, which reflects how likely the true value is to coincide with the estimated value. Depending whether the prediction problem is continuous or discrete, we use prediction interval width or predicted class probability to measure the certainty of a prediction. We illustrate the results of our dynamic item ordering framework on tasks of predicting energy costs, student stress levels, and device identification in photographs and show that our adaptive process achieves equivalent error rates as a fixed order baseline with cost savings up to 45%. For the survey setting, the goal of data collection is often to gather information from a population, and it is desired to have complete responses from all samples. In this case, we want to maximize survey completion (and the quality of necessary imputations), and so we focus on ordering items to engage the respondent and collect hopefully all the information we seek, or at least the information that most characterizes the respondent so imputed values will be accurate. One item utility metric for this problem is information gain to get a “representative” set of answers from the respondent. Furthermore, paradata collected during the survey process can inform models of user engagement that can influence either the utility metric ( e.g., likelihood therespondent will continue answering questions) or the cost metric (e.g., likelihood the respondent will break off from the survey). We illustrate the benefit of dynamic item ordering for surveys on two nationwide surveys conducted by the U.S. Census Bureau: the American Community Survey and the Survey of Income and Program Participation.
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Books on the topic "User survey"

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Caselton, Jane. Surrey Public Library user survey. [Surrey, B.C.]: Surrey Public Library, 1986.

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), London Public Libraries and Museums (Ont. User survey, 1989. [London, Ont: London Public Libraries and Museums], 1989.

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Gibbs, Linnea. User survey 1993. [Burnaby, B.C: Burnaby Public Library, 1993.

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Library, Edmonton Public. 1989 user survey. [Edmonton, Alberta]: Edmonton Public Library, 1989.

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Library, Harlow College. User survey report. Harlow: The College, 1989.

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Library, Harlow College. Library user survey report. Harlow: The library, 1989.

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Linitz, Karen Storin. Survey on the value of user surveys. Buffalo, N.Y: W. S. Hein, 2011.

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Noerr, Peter L. User friendly systems: A survey. Kingston-upon-Thames, England: Informatics Engineering, 1986.

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Transportation, Ontario Ministry of. Survey of road user knowledge. [Toronto]: Ministry of Transportation, 1991.

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Magno, Marianna B. Survey of user authentication mechanisms. Monterey, Calif: Naval Postgraduate School, 1996.

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Book chapters on the topic "User survey"

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Biswas, Pradipta. "User Survey." In Inclusive Human Machine Interaction for India, 1–19. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06500-7_1.

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Wellner, Konstantin. "Explorative Survey among Companies." In User Innovators in the Silver Market, 69–74. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-09044-9_6.

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Tanikawa, Misaki, and Yumi Asahi. "User Analysis and Questionnaire Survey." In Lecture Notes in Computer Science, 489–97. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07863-2_47.

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Steimle, Jürgen. "Survey of Pen-and-Paper Computing." In Pen-and-Paper User Interfaces, 19–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-20276-6_2.

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Nicholls, J. E. "A survey of Z courses in the UK." In Z User Workshop, Oxford 1990, 343–50. London: Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-3540-1_22.

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Maceli, Monica G. "Tools of the Trade: A Survey of Technologies in End-User Development Literature." In End-User Development, 49–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58735-6_4.

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Roth, Kelly C., and Dania Bilal. "User-Centered Survey Design: Considering Group Membership Effects on Survey Responses." In Design, User Experience, and Usability. Design Philosophy and Theory, 478–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23570-3_36.

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Coleti, Thiago Adriano, Marcelo Morandini, and Pedro Luiz Pizzigatti Correa. "A Survey for Monitoring the Users’ Profile and Information Technology Needs in Biodiversity Information Systems." In Design, User Experience, and Usability: Novel User Experiences, 549–59. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40355-7_52.

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Keller, Rudolf K. "User interface tools: A survey and perspective." In Software Engineering and Human-Computer Interaction, 225–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0035818.

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Watanabe, Tetsuya, Chuji Sashida, and Shinichi Okada. "Windows Screen Reader User Survey in Japan." In Lecture Notes in Computer Science, 589–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45491-8_114.

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Conference papers on the topic "User survey"

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Rauf, Abdul, Sadia Batool, Shafiq Ur Rehman, and Arshad Ali Shahid. "Survey based usability evaluation of MS Word." In 2010 International Conference on User Science and Engineering (i-USEr 2010). IEEE, 2010. http://dx.doi.org/10.1109/iuser.2010.5716750.

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Hussein, Idyawati, Murni Mahmud, and Abu Osman Md Tap. "A survey of usability awareness in Malaysia IT industry." In 2011 International Conference on User Science and Engineering (i-USEr 2011). IEEE, 2011. http://dx.doi.org/10.1109/iuser.2011.6150554.

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Myers, Brad A., and Mary Beth Rosson. "Survey on user interface programming." In the SIGCHI conference. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/142750.142789.

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Zhao, Zhenzhen, Nassim Laga, and Noel Crespi. "A survey of user generated service." In 2009 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC 2009). IEEE, 2009. http://dx.doi.org/10.1109/icnidc.2009.5360953.

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Takala, T. M., P. Rauhamaa, and T. Takala. "Survey of 3DUI applications and development challenges." In 2012 IEEE Symposium on 3D User Interfaces (3DUI). IEEE, 2012. http://dx.doi.org/10.1109/3dui.2012.6184190.

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Grobelna, Iwona, Michał Grobelny, and Grzegorz Bazydło. "User awareness in IoT security. A survey of Polish users." In INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2018 (ICCMSE 2018). Author(s), 2018. http://dx.doi.org/10.1063/1.5079136.

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Hussein, Idyawati, Murni Mahmud, and Abu Osman Md Tap. "A survey of user experience practice: A point of meet between academic and industry." In 2014 3rd International Conference on User Science and Engineering (i-USEr). IEEE, 2014. http://dx.doi.org/10.1109/iuser.2014.7002678.

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Vredenburg, Karel, Ji-Ye Mao, Paul W. Smith, and Tom Carey. "A survey of user-centered design practice." In the SIGCHI conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/503376.503460.

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Nummiaho, Antti. "User survey on context-aware communication scenarios." In the 4th international conference on mobile technology, applications, and systems and the 1st international symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1378063.1378139.

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Dhanalakshmi, D., and J. Komala Lakshmi. "A survey on web user personalization techniques." In 2014 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2014. http://dx.doi.org/10.1109/iccic.2014.7238508.

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Reports on the topic "User survey"

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Roelofs, Nina. 2018 LANSCE User Survey. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1569711.

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Roelofs, Nina. 2019 LANSCE User Survey. Office of Scientific and Technical Information (OSTI), October 2020. http://dx.doi.org/10.2172/1673328.

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Roeder, LR. ARM User Survey Report. Office of Scientific and Technical Information (OSTI), June 2010. http://dx.doi.org/10.2172/982203.

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Jemian, P. R. 2006 XSD Scientific Software User Survey. Office of Scientific and Technical Information (OSTI), January 2007. http://dx.doi.org/10.2172/925329.

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Pierson, C. DISS/ET modernization site/user survey details. Office of Scientific and Technical Information (OSTI), December 1993. http://dx.doi.org/10.2172/435062.

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Estrada, Arthur. User Survey of Peripheral Vision-Restricting Devices. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada431148.

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Ball, J. R. Ontario's Toponymic Data Base: summary of user needs survey. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/298213.

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Thompson, Brenda. Transit Non-User Survey: Restfull Riding Rather Than Stressful Driving. Tampa, FL: University of South Florida, January 2002. http://dx.doi.org/10.5038/cutr-nctr-rr-2002-23.

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Buckless, Genna L., and James A. Genovese. ADASHI: User Survey and Focus Group Process with Final Results. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada425246.

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Research Institute (IFPRI), International Food Policy. A user guide to the CCAFS Gender and Climate Change Survey data. Washington, DC: International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/1046080778.

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