Publication statistics
Pub. period:1988-1996
Pub. count:8
Number of co-authors:4
Co-authors
Number of publications with 3 favourite co-authors:
Kent L. Norman:3M. Elliott Familant:1Richard D. Herring:1 Productive colleagues
John P. Chin's 3 most productive colleagues in number of publications:
Kent L. Norman:21M. Elliott Familan..:5Richard D. Herring:2
“
Design can be art. Design can be aesthetics. Design is so simple, that's why it is so complicated.
”
-- Paul Rand, 1997
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John P. ChinPh.D Psychology, University of Maryland, College Park, MD
Personal Homepage:
linkedin.com/in/johnpchin Human Factors Professional with extensive experience in user interface design, systems engineering and testing with strong emphasis in telecommunications. Experienced in taking a product through the entire product life cycle from concept through design, implementation, testing and launch. Skilled in organizing, leading, teaming with others to generate solutions to complex processes and technologies by consistently meeting or exceeding goals and objectives.
Publications by John P. Chin (bibliography)
Chin, John P. (1996): Personality Trait Attributions to Voice Mail User Interfaces. In: Proceedings of the ACM SIG CHI April 13-18, 1996, Vancouver, BC, Canada. pp. 248-249.
“Both novices and experts ascribed similar personality traits to voice mail user interfaces: practical, intelligent, courteous, efficient, straight-forward, sophisticated, moethodical, progressive and alert. Surprisingly significantly more experts desired a more imaginative personality than novices. Results suggest that future voice mail user interfaces should project an imaginative quality.”
© All rights reserved Chin and/or his/her publisher
Chin, John P. (1993): A human factors study of speech tone delays.. In: 14th International Symposium: Human Factors in Telecommunications May 11-14, 1993, Darmstadt, Germany. p. 445.
Chin, John P., Herring, Richard D. and Familant, M. Elliott (1992): A Usability and Diary Study Assessing the Effectiveness of Call Acceptance Lists. In: Proceedings of the Human Factors Society 36th Annual Meeting 1992. pp. 216-220.
“Nuisance or unwanted calls have always been a problem to subscribers of phone services. One possible solution is a network based service that allows subscribers to control the calls they receive by using a call acceptance list. When the call acceptance list is activated, all callers not on the list would be automatically routed to a voice messaging system. Those callers on the list would be allowed to ring the subscriber's telephone. This study assessed the effectiveness of call acceptance lists in reducing unwanted telephone calls. Participants used a prototype telephone-based interface to establish a list of telephone numbers from which they would always accept calls. At the same time, they logged each of their incoming calls in a diary, recording the telephone number that originated the call, and whether they wished to receive the call. The call acceptance list significantly reduced the number of unwanted calls”
© All rights reserved Chin et al. and/or Human Factors Society
Chin, John P. (1992): A Human Factors Study of Speech Tone Delays.. In: Proceedings of the American Voice Input-Output Society AVIOS92 September 22-24, 1992. pp. 349-356.
Norman, Kent L. and Chin, John P. (1989): The Menu Metaphor: Food for Thought. In Behaviour and Information Technology, 8 (2) pp. 125-134.
“Menu selection in human/computer interaction is a metaphor of the restaurant menu. Although menu selection is widely used, its scope is currently limited, ill-defined, and information lean. A comparison of the restaurant menu and the computer menu reveal three avenues of improvement in menu systems. The correspondence of elements and features between restaurant and computer menus suggests that this powerful metaphor should be more fully developed. Second, there are a number of advantages of dynamic computer menus over static listings common to restaurants. Finally, restaurant menus currently have the advantage of breadth, richness, and graphic layout as well as a natural support system (the server) that is unparalleled in current computer applications. An analysis of deficiences in computer menus should prove invaluable in developing the next generation of menu selection techniques.”
© All rights reserved Norman and Chin and/or Taylor and Francis
Chin, John P. (1989): A Dynamic User-Adaptable Menu System: Linking it All Together. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 413-417.
“Creation and traversal of links in a user adaptable menu was examined for syntagmatically and paradigmatically related targets. One group searched for paradigmatic related targets within the same intermediate category under different superordinate categories, while another searched for syntagmatic related targets belonging to different intermediate categories under the same superordinate. Users with syntagmatic targets created and traversed more superordinate category links, while users with paradigmatic targets traversed more intermediate category links. As predicted, more horizontal links at the same hierarchical level were created and traversed than diagonal links joining different levels. Overall, users tended to create links forming hierarchical networks.”
© All rights reserved Chin and/or Human Factors Society
Chin, John P., Diehl, Virginia A. and Norman, Kent L. (1988): Development of an Instrument Measuring User Satisfaction of the Human-Computer Interface. In: Soloway, Elliot, Frye, Douglas and Sheppard, Sylvia B. (eds.) Proceedings of the ACM CHI 88 Human Factors in Computing Systems Conference June 15-19, 1988, Washington, DC, USA. pp. 213-218.
“This study is a part of a research effort to develop the Questionnaire for User Interface Satisfaction (QUIS). Participants, 150 PC user group members, rated familiar software products. Two pairs of software categories were compared: 1) software that was liked and disliked, and 2) a standard command line system (CLS) and a menu driven application (MDA). The reliability of the questionnaire was high, Cronbach's alpha=.94 The overall reaction ratings yielded significantly higher ratings for liked software and MDA over disliked software and a CLS, respectively. Frequent and sophisticated PC users rated MDA more satisfying, powerful and flexible than CLS. Future applications of the QUIS on computers are discussed.”
© All rights reserved Chin et al. and/or ACM Press
Norman, Kent L. and Chin, John P. (1988): The Effect of Tree Structure on Search in a Hierarchical Menu Selection System. In Behaviour and Information Technology, 7 (1) pp. 51-65.
“Search processes in a hierarchical menu selection system were investigated in a study that varied the structure of the tree. A hierarchical data base was composed of 256 gift items grouped into different clusters and presented using menus. Depth of the tree was held constant while breadth varied with level. Five structures were explored with the following number of alternatives at each of four levels: constant (4 x 4 x 4 x 4), decreasing (8 x 8 x 2 x 2), increasing (2 x 2 x 8 x 8), concave (8 x 2 x 2 x 8), and convex (2 x 8 x 8 x 2). Subjects searched for either specifically named gifts (explicit targets) or gifts appropriate for a scenario situation (scenario targets). In general, explicit targets took less time to find and fewer frames to traverse than for scenario targets. For explicit targets, the increasing menu was slightly superior to the rest. Search time was about the same across the five tree structures for explicit targets, but differed greatly for scenario targets. The concave and increasing structures were faster than the constant structure and the convex and decreasing structures were slower. Similar results were found for the number of frames traversed. The patterns of search also differed greatly among the five structures in terms of the frequency of use of the 'previous' command and the 'top' command. The 'previous' command was used most frequently with the convex menu and least frequently with the concave menu. For scenario targets, the 'top' command was used most frequently with the decreasing menu and least frequently with the increasing menu. For explicit targets, the 'top' command was used most frequently with concave menu and least frequently with increasing menu. The pattern of search indicated that if subjects moved back up the tree they tended to move to a level with eight choices rather than two. Overall, it is concluded that the concave menu is superior when searching for scenario targets and the increasing menu is slightly superior when searching for explicit targets. A theory of menu uncertainly based on information theory is proposed which helps to account for some of the results.”
© All rights reserved Norman and Chin and/or Taylor and Francis
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