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Journal articles on the topic 'User'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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1

Hudson, William. "User stories don't help users." Interactions 20, no. 6 (November 2013): 50–53. http://dx.doi.org/10.1145/2517668.

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2

McMillan, Brian, Kellie Sherlock, and Mark Conner. "Expanding the traditional user versus non-user dichotomy amongst ecstasy users." Journal of Community & Applied Social Psychology 13, no. 1 (January 2003): 15–28. http://dx.doi.org/10.1002/casp.704.

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3

Rhee, Jong-Seok, Hyun-Min Yoo, and Een-Kee Hong. "User Association Algorithm for Improving Throughput of Cell Edge User." Journal of Korean Institute of Communications and Information Sciences 49, no. 3 (March 31, 2024): 385–92. http://dx.doi.org/10.7840/kics.2024.49.3.385.

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4

Nielsen, J. "Let's ask the users [user interfaces]." IEEE Software 14, no. 3 (1997): 110–11. http://dx.doi.org/10.1109/52.589250.

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5

Schclar, Alon, Lior Rokach, Adi Abramson, and Yuval Elovici. "User Authentication Based on Representative Users." IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 42, no. 6 (November 2012): 1669–78. http://dx.doi.org/10.1109/tsmcc.2012.2215850.

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6

Galko, Lukáš, and Jaroslav Porubän. "Tools Used in Ambient User Interfaces." Acta Electrotechnica et Informatica 16, no. 3 (September 2016): 32–40. http://dx.doi.org/10.15546/aeei-2016-0021.

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7

Woolley, T. C. "Quality User Support Supporting Quality Users." SPE Computer Applications 6, no. 05 (September 1, 1994): 5–8. http://dx.doi.org/10.2118/27583-pa.

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8

Gould, John, and Matthew Schaefer. "User interface considerations for older users." ACM SIGCSE Bulletin 37, no. 3 (September 2005): 408. http://dx.doi.org/10.1145/1151954.1067612.

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9

RICH, ELAINE. "Users are individuals: individualizing user models." International Journal of Human-Computer Studies 51, no. 2 (August 1999): 323–38. http://dx.doi.org/10.1006/ijhc.1981.0312.

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10

EASON, KENNETH D. "User-centred design: for users or by users?" Ergonomics 38, no. 8 (August 1995): 1667–73. http://dx.doi.org/10.1080/00140139508925217.

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11

Zhao, Lu, Mingli Zhang, Jianbo Tu, Jialing Li, and Yan Zhang. "Can users embed their user experience in user-generated images? Evidence from JD.com." Journal of Retailing and Consumer Services 74 (September 2023): 103379. http://dx.doi.org/10.1016/j.jretconser.2023.103379.

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12

Johar, Kartikeya. "THE IMPACT OF USER INTERFACE AND USER EXPERIENCE DESIGN ON USERS' COGNITIVE ABILITIES." International Journal of Social Science and Economic Research 08, no. 06 (2023): 1386–93. http://dx.doi.org/10.46609/ijsser.2023.v08i06.015.

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13

Kumar, Shiv. "Relationship of OPAC users' satisfaction with their demographic characteristics, computer skills, user education, user assistance and user-friendly OPAC." Electronic Library 32, no. 1 (January 28, 2014): 106–23. http://dx.doi.org/10.1108/el-01-2012-0002.

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Purpose – The main aim of this paper is to identify whether user demographic characteristics, computer skills, user education, user assistance and user-friendly OPAC (online public access catalog) have an impact on their satisfaction in the context of users in an Indian university setting. Design/methodology/approach – The survey method was utilized and a questionnaire was designed to collect data. The study is based on a sample of the 384 questionnaires from the three universities located in the Union Territory of Chandigarh and Punjab State. To analyze the data collected, SPSS package (version 14.0) was used, and also to produce requisite cross-tabulations. Chi-square testing was performed to determine the association of user satisfaction with the variables covered in the study. Findings – The findings highlighted that overall there was a low degree of satisfaction among the users. With the exception of academic majors, in general, there were no significant differences between satisfaction and user demographic characteristics. Overall satisfaction was significantly higher for those who were possessed with adequate knowledge on OPAC, and had received staff assistance, as well as necessary education on OPAC. The study showed that satisfaction with ease of usage of OPAC was higher. It was also found that users were well-equipped with computers and had attained skills while frequently searching the web, however, it was also revealed that mere possession of computer skills was not sufficient for efficient use of OPAC, resulting in the attainment of a high level of satisfaction. Originality/value – The paper brings out the fact of how user demographic characteristics, computer skills, user education, user assistance, and user-friendly OPAC, influence user satisfaction in a university educational set up. The findings will be beneficial for increasing user satisfaction levels in order to retain existing OPAC users because OPAC will continue to be a necessary tool for accessing quality academic information available in both print and electronic format.

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14

Barki, Henri, and Jon Hartwick. "Measuring User Participation, User Involvement, and User Attitude." MIS Quarterly 18, no. 1 (March 1994): 59. http://dx.doi.org/10.2307/249610.

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15

Preeyanont, Somjaree. "User Interface on Smartphone for Elderly Users." International Journal of Automation and Smart Technology 7, no. 4 (December 1, 2017): 147–55. http://dx.doi.org/10.5875/ausmt.v7i4.1339.

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16

Bawden, David. "Users, user studies and human information behaviour." Journal of Documentation 62, no. 6 (November 2006): 671–79. http://dx.doi.org/10.1108/00220410610714903.

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17

Hall, N. "Social Care, Service Users and User Involvement." British Journal of Social Work 43, no. 4 (June 1, 2013): 820–21. http://dx.doi.org/10.1093/bjsw/bct093.

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18

Poll, L. H. D., and R. P. Waterham. "Graphical user interfaces and visually disabled users." IEEE Transactions on Rehabilitation Engineering 3, no. 1 (March 1995): 65–69. http://dx.doi.org/10.1109/86.372894.

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19

Beresford, Peter, and Sarah Carr. "Social care, service users and user involvement." Aotearoa New Zealand Social Work 28, no. 2 (August 18, 2016): 95. http://dx.doi.org/10.11157/anzswj-vol28iss2id229.

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20

Cotterman, William W., and Kuldeep Kumar. "User cube: a taxonomy of end users." Communications of the ACM 32, no. 11 (November 1989): 1313–20. http://dx.doi.org/10.1145/68814.68816.

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21

Freeman, Stephanie. "User freedom or user control?" Information Technology & People 25, no. 1 (February 24, 2012): 103–28. http://dx.doi.org/10.1108/09593841211204362.

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22

Amoako-Gyampah, Kwasi, and Kathy B. White. "User involvement and user satisfaction." Information & Management 25, no. 1 (July 1993): 1–10. http://dx.doi.org/10.1016/0378-7206(93)90021-k.

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23

Peacock, Sylvia E. "How web tracking changes user agency in the age of Big Data: The used user." Big Data & Society 1, no. 2 (July 10, 2014): 205395171456422. http://dx.doi.org/10.1177/2053951714564228.

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24

Neurdenburg, Jan-Willem, and Phil S. Schwarz. "≅USER." ACM SIGAPL APL Quote Quad 15, no. 4 (May 12, 1985): 299–307. http://dx.doi.org/10.1145/255315.255702.

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25

Wams, J. M. S., and M. van Steen. "Unifying user-to-user messaging systems." IEEE Internet Computing 8, no. 2 (March 2004): 76–82. http://dx.doi.org/10.1109/mic.2004.1273489.

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26

Longo, Douglas Hiura, and Patricia Vilain. "User Scenarios Through User Interaction Diagrams." International Journal of Software Engineering and Knowledge Engineering 25, no. 09n10 (November 2015): 1771–75. http://dx.doi.org/10.1142/s0218194015710151.

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This paper investigates the applicability of User Interaction Diagrams (UIDs) as user scenarios for the specification of software requirements by non-technical customers. Two methods for building user scenarios using UIDs were proposed: the progressive and the regressive methods. These two methods were applied in an experiment where the results demonstrated that the regressive method requires significantly less effort as compared to the progressive method. Furthermore, there was a significant difference in the quality of diagrams obtained from each of the two methods. In our experiment, the regressive method resulted in better quality factors.

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27

Kobsa, Alfred. "User Modelin and User-Adapted Interaction." User Modeling and User-Adapted Interaction 14, no. 5 (January 2004): 469–75. http://dx.doi.org/10.1007/s11257-005-2618-3.

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28

Kobsa, Prof Dr Alfred. "User Modeling and User-Adapted Interaction." User Modeling and User-Adapted Interaction 15, no. 1-2 (March 2005): 185–90. http://dx.doi.org/10.1007/s11257-005-6468-9.

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29

Han, Qin. "User Experience Design: Creating Design Users Really Love." Design Journal 19, no. 4 (July 3, 2016): 691–94. http://dx.doi.org/10.1080/14606925.2016.1180048.

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30

Heiskanen, Eva, Sampsa Hyysalo, Tanja Kotro, and Petteri Repo. "Constructing innovative users and user-inclusive innovation communities." Technology Analysis & Strategic Management 22, no. 4 (May 2010): 495–511. http://dx.doi.org/10.1080/09537321003714568.

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31

Nahl, Diane. "Creating user‐centered instructions for novice end‐users." Reference Services Review 27, no. 3 (September 1999): 280–86. http://dx.doi.org/10.1108/00907329910283467.

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32

Archuleta, Audrey. "LANSCE users gather for fifth user group meeting." Neutron News 13, no. 1 (January 2002): 11–12. http://dx.doi.org/10.1080/10448630208222867.

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33

Miller, Henry I. "Pharmaceutical Company User Fees: Their Uses and Abuses." American Journal of Therapeutics 16, no. 6 (November 2009): 475–76. http://dx.doi.org/10.1097/mjt.0b013e3181bef4d0.

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34

Narasimhamurthy, Adarsh B., Cihan Tepedelenlioglu, and Yuan Zhang. "Multi-User Diversity with Random Number of Users." IEEE Transactions on Wireless Communications 11, no. 1 (January 2012): 60–64. http://dx.doi.org/10.1109/twc.2011.121911.111594.

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35

Beresford, Peter, and Jane Campbell. "Disabled People, Service Users, User Involvement and Representation." Disability & Society 9, no. 3 (January 1994): 315–25. http://dx.doi.org/10.1080/09687599466780361.

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36

Vrbinc, Marjeta, and Alenka Vrbinc. "User guides in monolingual Slovenian dictionaries: users’ perspective." Lexicography 7, no. 1-2 (April 6, 2020): 123–34. http://dx.doi.org/10.1007/s40607-020-00067-w.

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37

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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38

Han, W., and I. S. Han. "User Identification: Bio-Inspired Visual User Detection." International Journal for Information Security Research 2, no. 2 (June 1, 2012): 140–43. http://dx.doi.org/10.20533/ijisr.2042.4639.2012.0017.

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39

Carmagnola, Francesca. "From user models to interoperable user models." AI Communications 22, no. 2 (2009): 121–23. http://dx.doi.org/10.3233/aic-2009-0448.

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40

Zhao, Liping, Pericles Loucopoulos, Evangelia Kavakli, and Keletso J. Letsholo. "User Studies on End-User Service Composition." ACM Transactions on the Web 13, no. 3 (November 18, 2019): 1–46. http://dx.doi.org/10.1145/3340294.

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41

Amoako-Gyampah, Kwasi, and Kathy B. White. "When Is User Involvement Not User Involvement?" Information Strategy: The Executive's Journal 13, no. 4 (June 1997): 40–45. http://dx.doi.org/10.1080/07438613.1997.10744575.

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42

Nielsen, J. "Putting the user in user-interface testing." IEEE Software 13, no. 3 (May 1996): 89–90. http://dx.doi.org/10.1109/52.493024.

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43

Yang, Yinghui (Catherine). "Web user behavioral profiling for user identification." Decision Support Systems 49, no. 3 (June 2010): 261–71. http://dx.doi.org/10.1016/j.dss.2010.03.001.

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44

White, Andrew, Bradley Schatz, and Ernest Foo. "Surveying the user space through user allocations." Digital Investigation 9 (August 2012): S3—S12. http://dx.doi.org/10.1016/j.diin.2012.05.005.

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45

Marcus, Aaron. "When is a user not a user?" Interactions 10, no. 5 (September 2003): 28–34. http://dx.doi.org/10.1145/889692.889705.

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46

Vogel, L. "No user fees, but perhaps user fees." Canadian Medical Association Journal 183, no. 13 (August 29, 2011): E970. http://dx.doi.org/10.1503/cmaj.109-3988.

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47

Isaac, C. "User Interface Design & User Interface Evaluation." Computer Journal 38, no. 3 (January 1, 1995): 265. http://dx.doi.org/10.1093/comjnl/38.3.265-b.

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48

Quilici, Alex. "Forming user models by understanding user feedback." User Modeling and User-Adapted Interaction 3, no. 4 (1994): 321–58. http://dx.doi.org/10.1007/bf01099299.

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49

Kaasinen, Eija, Tiina Kymäläinen, Marketta Niemelä, Thomas Olsson, Minni Kanerva, and Veikko Ikonen. "A User-Centric View of Intelligent Environments: User Expectations, User Experience and User Role in Building Intelligent Environments." Computers 2, no. 1 (December 27, 2012): 1–33. http://dx.doi.org/10.3390/computers2010001.

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50

Ma, Qing. "From monitoring users to controlling user actions: A new perspective on the user-centred approach to CALL." Computer Assisted Language Learning 20, no. 4 (October 2007): 297–321. http://dx.doi.org/10.1080/09588220701745783.

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