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ReferencesNavigation arrowAuthorsNavigation arrowMark R. Lehto

Publication statistics

Pub. period:1990-2007
Pub. count:16
Number of co-authors:17



Co-authors

Number of publications with 3 favourite co-authors:

Wenli Zhu:4
Chulwoo Kim:4
Pilsung Choe:4

 

 

Productive colleagues

Mark R. Lehto's 3 most productive colleagues in number of publications:

Gavriel Salvendy:148
Vassilis Moustakis:5
Chulwoo Kim:4
 
 
 
May 23

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Mark R. Lehto

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Publications by Mark R. Lehto (bibliography)

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2007
 
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Choe, Pilsung, Kim, Chulwoo, Lehto, Mark R. and Allebach, Jan P. (2007): Experimental Comparison of Adaptive vs. Static Thumbnail Displays. In: Jacko, Julie A. (ed.) HCI International 2007 - 12th International Conference - Part II July 22-27, 2007, Beijing, China. pp. 41-48.

 
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Lin, Shu-Chiang and Lehto, Mark R. (2007): A Bayesian Methodology for Semi-automated Task Analysis. In: Smith, Michael J. and Salvendy, Gavriel (eds.) Symposium on Human Interface 2007 - Part I July 22-27, 2007, Beijing, China. pp. 697-704.

 
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Choe, Pilsung, Lehto, Mark R. and Allebach, Jan P. (2007): Self-help Troubleshooting by Q-KE-CLD Based on a Fuzzy Bayes Model. In: Smith, Michael J. and Salvendy, Gavriel (eds.) Symposium on Human Interface 2007 - Part I July 22-27, 2007, Beijing, China. pp. 391-400.

 
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Marucci, Helen R., Lehto, Mark R. and Corns, Helen L. (2007): Computer Classification of Injury Narratives Using a Fuzzy Bayes Approach: Improving the Model. In: Smith, Michael J. and Salvendy, Gavriel (eds.) Symposium on Human Interface 2007 - Part I July 22-27, 2007, Beijing, China. pp. 500-506.

 
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Noorinaeini, Amirali, Lehto, Mark R. and Wu, Sze-jung (2007): Hybrid Singular Value Decomposition: A Model of Human Text Classification. In: Smith, Michael J. and Salvendy, Gavriel (eds.) Symposium on Human Interface 2007 - Part I July 22-27, 2007, Beijing, China. pp. 517-525.

 
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Kim, Chulwoo, Choe, Pilsung, Lehto, Mark R. and Allebach, Jan P. (2007): Effect of Providing a Web-Based Collaboration Medium for Remote Customer Troubleshooting Tasks. In: Smith, Michael J. and Salvendy, Gavriel (eds.) Symposium on Human Interface 2007 - Part II July 22-27, 2007, Beijing, China. pp. 47-53.

 
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Lehto, Xinran, Park, Jung Kun, Park, Ounjoung and Lehto, Mark R. (2007): Text Analysis of Consumer Reviews: The Case of Virtual Travel Firms. In: Smith, Michael J. and Salvendy, Gavriel (eds.) Symposium on Human Interface 2007 - Part I July 22-27, 2007, Beijing, China. pp. 490-499.

 
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Corns, Helen L., Marucci, Helen R. and Lehto, Mark R. (2007): Development of an Approach for Optimizing the Accuracy of Classifying Claims Narratives Using a Machine Learning Tool (TEXTMINER[4]). In: Smith, Michael J. and Salvendy, Gavriel (eds.) Symposium on Human Interface 2007 - Part I July 22-27, 2007, Beijing, China. pp. 411-416.

 
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Kim, Chulwoo and Lehto, Mark R. (2007): Decision Theoretic Perspective on Optimizing Intelligent Help. In: Jacko, Julie A. (ed.) HCI International 2007 - 12th International Conference - Part III 2007. pp. 358-365.

2006
 
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Choe, Pilsung, Kim, Chulwoo, Lehto, Mark R., Lehto, Xinran and Allebach, Jan (2006): Evaluating and Improving a Self-Help Technical Support Web Site: Use of Focus Group Interviews. In International Journal of Human-Computer Interaction, 21 (3) pp. 333-354.

“It is critical to understand user requirements in Web site development. As a method of user requirements analysis for a self-help technical support Web site, focus group interviews can be a very efficient and effective approach both before the interface has been designed and after it has been in use for some time. This article shows how focus group interviews were used to develop a self-help technical support Web site for print quality troubleshooting. It also shows how focus group interviews led to improvements in the efficiency and effectiveness of the Web site. In addition, the article classifies the critical usability issues identified and shows how the feedback from focus group interviews is reflected in the Web site development. Finally, experimental results demonstrate that the use of focus group interviews significantly improved user performance and preference.”

© All rights reserved Choe et al. and/or Lawrence Erlbaum Associates

1999
 
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Zhu, Wenli and Lehto, Mark R. (1999): Decision Support for Indexing and Retrieval of Information in Hypertext Systems. In International Journal of Human-Computer Interaction, 11 (4) pp. 349-371.

“This study introduces and evaluates the performance of two statistical models intended to support the automatic creation of a subject-based index containing links to hypertext documents. The fuzzy Bayes model makes strong dependence assumptions, and only considers the strongest evidence presented by single words occurring in a document, whereas the classic Bayes model makes strong independence assumptions and attempts to aggregate all the evidence. The links or index terms suggested by both indexing models overlapped greatly with those assigned by a human indexer. However, the probabilities calculated using the classic Bayes model were unstable because of data sparseness and severe violations of the independence assumptions. Subsequent analysis therefore focused on the fuzzy Bayes model. The latter analysis revealed that human experts rated index terms suggested by the model significantly higher than randomly selected index terms. When the index terms assigned by the fuzzy Bayes model were implemented as links in a hypertext system, users' performance on information retrieval tasks was similar to that using links assigned by the human indexer. These results demonstrated that the fuzzy Bayes model is a particularly promising method that can accurately duplicate the links suggested by a human indexer, requires little computation, and offers the potential advantage of flexibly modifying links in a way that reflects the relative costs of false alarms and misses.”

© All rights reserved Zhu and Lehto and/or Lawrence Erlbaum Associates

1997
 
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Zhu, Wenli and Lehto, Mark R. (1997): Decision Support for Indexing and Information Retrieval: Implications for Hypertext Systems. In: Smith, Michael J., Salvendy, Gavriel and Koubek, Richard J. (eds.) HCI International 1997 - Proceedings of the Seventh International Conference on Human-Computer Interaction - Volume 2 August 24-29, 1997, San Francisco, California, USA. pp. 747-750.

1996
 
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Moustakis, Vassilis, Lehto, Mark R. and Salvendy, Gavriel (1996): Survey of Expert Opinion: Which Machine Learning Method May be Used for Which Task?. In International Journal of Human-Computer Interaction, 8 (3) pp. 221-236.

“Determining the most appropriate Machine Learning (ML) method, system, or algorithm for a particular application is not trivial. This article reports on a survey of 103 experts specializing in ML who were asked to rate ML method appropriateness to intelligent tasks. Ratings were captured via a structured questionnaire including 12 ML methods and 9 task categories. Results showed that the experts mapped particular ML methods to task categories. Factor analysis revealed three fundamental factors, which explained most of the variance in the expert ratings. Machine learning methods could be grouped on the basis of these factors into six application categories, wherein one or more methods were deemed most appropriate by the evaluated group of experts. This, in turn, concludes that cooperation between alternative ML methods may be necessary to support one or more intelligent tasks.”

© All rights reserved Moustakis et al. and/or Lawrence Erlbaum Associates

1995
 
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Lehto, Mark R., Zhu, Wenli and Carpenter, Bryan (1995): The Relative Effectiveness of Hypertext and Text. In International Journal of Human-Computer Interaction, 7 (4) pp. 293-313.

“A series of two experiments was conducted. In Experiment 1, participant performance when using a hypertext electronic reference system was compared to using a conventional reference book. The links in this hypertext were based on the index entries in the corresponding 529-page book. Specific topics and particular facts were located much faster and more accurately using the hypertext system than for the book. These advantages increased when participants searched for information that was either not included or referred to indirectly in the index. However, hypertext did not have an advantage over text on learning tasks. The conclusion was that hypertext is superior to text only for "reading-to-do" tasks similar to those a designer may perform when consulting a reference book. Experiment 2 compared user performance when the links corresponded exactly to the original index of a 545-page textbook on ergonomics to performance when the links were generated by computer key-word searches. Strong advantages were found in speed, accuracy, and subjective ratings for links based on the author's original index. It appears that these latter results can be attributed to the greater focus of the information provided by links based on the author's index. Users spent much less time browsing irrelevant sections of the book.”

© All rights reserved Lehto et al. and/or Lawrence Erlbaum Associates

1993
 
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Lehto, Mark R., Zhu, Wenli and Carpenter, Bryan (1993): The Relative Effectiveness of Hypertext and Text. In: Proceedings of the Fifth International Conference on Human-Computer Interaction 1993. pp. 181-186.

“User performance when using a hypertext electronic reference system was compared to that for a conventional reference book. The links in this hypertext were the same as the index entries in the corresponding book. Specific topics and particular facts were located much faster and more accurately using the hypertext system than the book, and especially so when searching for information indirectly referred to in the index. The conclusion was that hypertext appears to be superior for "reading to do" or reference type use. A second experiment compared user performance when links corresponded exactly to the original index of the book to performance when the links were generated by computer keyword searches. Strong advantages were found in speed, accuracy, and subjective ratings for links based on the author's original index.”

© All rights reserved Lehto et al. and/or Elsevier Science

1990
 
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Foley, James P. and Lehto, Mark R. (1990): The Effect of Law and Training on All-Terrain Vehicle Riders' Safety-Related Behaviors. In: D., Woods, and E., Roth, (eds.) Proceedings of the Human Factors Society 34th Annual Meeting 1990, Santa Monica, USA. pp. 966-970.

“N/R”

© All rights reserved Foley and Lehto and/or Human Factors Society

 
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Page maintainer: The Editorial Team
URL: http://www.interaction-design.org/references/authors/mark_r__lehto.html

Publication statistics

Pub. period:1990-2007
Pub. count:16
Number of co-authors:17



Co-authors

Number of publications with 3 favourite co-authors:

Wenli Zhu:4
Chulwoo Kim:4
Pilsung Choe:4

 

 

Productive colleagues

Mark R. Lehto's 3 most productive colleagues in number of publications:

Gavriel Salvendy:148
Vassilis Moustakis:5
Chulwoo Kim:4
 
 
 
May 23

“ Knowledge is commonly socially constructed, through collaborative efforts towards shared objectives or by dialogues and challenges brought about by different persons' perspectives. ”

-- G. Salomon (in "Distributed Cognitions: Psychological and Educational Considerations")

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Help us help you!

 
 
 
 
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