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Chu, Gia-Li; Reeves, Thomas C. – 2000
The purpose of this study was to examine the relationships between cultural differences and the design of personal Web pages. The research questions were: (1) What differences can be detected between how American and Chinese students employ symbol systems in their personal Web pages? (2) What differences can be detected between American and…
Descriptors: College Students, Computer System Design, Cultural Differences, Cultural Influences
Theng, Yin Leng; Mohd-Nasir, Norliza; Buchanan, George; Fields, Bob; Thimbleby, Harold; Cassidy, Noel – 2001
The design of systems, including digital libraries, is often inspired by what technology makes possible. In user-centered design, design emphasizes users, their tasks and needs. The majority of current digital libraries are not designed for children. For digital libraries to be popular with children, they need to be fun and easy-to-use. This paper…
Descriptors: Adolescents, Children, Computer Interfaces, Computer System Design
Kammerdiener, Troy; Smith, Lon – 1999
This paper presents an academic World Wide Web authoring tool called AutoHTML. This tool, a work in progress, is designed to allow the novice user the ability to construct high level Web pages with a consistent look and feel. The system works with a standard Web browser without the addition of component plug-ins. Additional HTML meta-tags are…
Descriptors: Authoring Aids (Programming), Computer Software, Design Preferences, Hypermedia
Peer reviewed Peer reviewed
Smiley, Sandra S. – Journal of Experimental Child Psychology, 1973
Investigated effects of dimensional dominance of stimuli and subject's ages in initial and shift learning of discrimination tasks. (DP)
Descriptors: College Students, Dimensional Preference, Discrimination Learning, Grade 3
Peer reviewed Peer reviewed
Odom, Richard D.; Corbin, David W. – Child Development, 1973
Uni- and multidimensional processing of 6- to 9-year olds was studied using recall tasks in which an array of stimuli was reconstructed to match a model array. Results indicated that both age groups were able to solve multidimensional problems, but that solution rate was retarded by the unidimensional processing of highly salient dimensions.…
Descriptors: Cognitive Development, Dimensional Preference, Elementary School Students, Information Processing
Peer reviewed Peer reviewed
Block, Karen K.; And Others – Developmental Psychology, 1973
Results showed that reversal shift was easier than extradimensional shift and that relative shift difficulty was unaffected by instructions, in contrast to findings with college-age subjects. (Authors)
Descriptors: Age Differences, Concept Formation, Data Analysis, Developmental Psychology
Peer reviewed Peer reviewed
Seitz, Victoria R. – Child Development, 1971
It was concluded that the scaled preference values have high face validity and that they suggest the need for reexamination of some previous experimental results. (Author)
Descriptors: Cluster Analysis, Dimensional Preference, Kindergarten Children, Measurement Techniques
Peer reviewed Peer reviewed
Eysenck, H. J.; Iwawaki, Saburo – Perceptual and Motor Skills, 1971
Descriptors: Attitudes, Cross Cultural Studies, Design Preferences, Discrimination Learning
Peer reviewed Peer reviewed
Ferguson, Douglas; And Others – Information Technology and Libraries, 1982
Describes the scope, objectives, and status of a study of user responses to public online catalogs conducted in 1982 with Council on Library Resources (CLR) funding. The framework for evaluating the user-catalog interface, data collection, and questionnaire content are discussed, and a copy of the survey questionnaire is appended. (Author/JL)
Descriptors: College Libraries, Data Collection, Design Preferences, Higher Education
Peer reviewed Peer reviewed
Kafer, Norman F. – Journal of Psychology, 1981
Developmental changes in the encoding of unfamiliar faces was studied in three experiments with Australian 7- to 12-year-old children (N=24 in experiment 1, N=48 in experiment 2, and N=32 in experiment 3). Results showed that younger children encoded unfamiliar faces in terms of striking isolated features and that avoidant children made more…
Descriptors: Age Differences, Children, Developmental Stages, Dimensional Preference
Peer reviewed Peer reviewed
Peterson, John M. – Perceptual and Motor Skills, 1981
To test the belief that good designers are the best judges of architectural design, 27 architecture students rated 15 architectural designs by other students. Instructors' ratings were criteria. As predicted, good student designers were not more accurate than poor student designers; average students were most accurate. (Author/SJL)
Descriptors: Ability, Architects, Architectural Education, Architecture
Regan, David; And Others – Scientific American, 1979
Discusses how an individual's visual system processes cues to motion in depth. A theoretical model of the operations of the visual system that underlie the perception of motion in depth is included. (HM)
Descriptors: Cognitive Processes, Dimensional Preference, Eyes, Models
Peer reviewed Peer reviewed
Gilliatt, Michael T. – Studies in Art Education, 1980
To identify an easy and effective method by which the classroom teacher can expand student art preferences, this study examined three suggested approaches: habituation; art criticism (Feldman-Mittler Methodology); and art production (studio activities). Combinations of these approaches were studied in interaction with students' grade level. (SJL)
Descriptors: Age Differences, Art Appreciation, Art Education, Comparative Analysis
Peer reviewed Peer reviewed
Zimring, Craig M.; Reizenstein, Janet E. – Environment and Behavior, 1980
Examines the status of postoccupancy evaluation, which is the study of the effectiveness of designed environments for their human users. Issues addressed include generality, breadth of focus, applicability, sponsorship, methodology, and future directions. (WB)
Descriptors: Architectural Research, Building Design, Design Preferences, Design Requirements
Anderson, Mary Alice – Book Report, 1996
Explains how to create slide shows via computer using common software programs such as ClarisWorks. Highlights include identifying the audience, organizing the information, becoming familiar with technical specifications of the equipment, the use of text, style consistency, the use of graphics, and the use of color. (LRW)
Descriptors: Audience Analysis, Color, Computer Assisted Instruction, Computer Graphics
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