Mark R. Lehto - researchr alias

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Viewing Publication 1 - 26 from 26

2020

Crowd-Ranking: a Markov-based method for ranking alternativesBaback Vaziri, Shaunak S. Dabadghao, Yuehwern Yih, Thomas L. Morin, Mark R. Lehto. or, 20(1):279-295, 2020. [doi]

2013

User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance ModelDoo Young Lee, Mark R. Lehto. ce, 61:193-208, 2013. [doi]

2011

2009

A query-based cross-language diagnosis tool for distributed decision making supportPilsung Choe, Mark R. Lehto, Hyung Jun Park, Jan P. Allebach. candie, 57(1):37-45, 2009. [doi]

On Improving Provider Decision Making with Enhanced Computerized Clinical RemindersSze-jung Wu, Mark R. Lehto, Yuehwern Yih, Jason J. Saleem, Bradley N. Doebbeling. hci 2009: 569-577 [doi]

2008

Critical purchasing incidents in e-businessKristen Oldenburger, Xinran Lehto, Richard Feinberg, Mark R. Lehto, Gavriel Salvendy. behaviourIT, 27(1):63-77, 2008. [doi]

2007

Self-help Troubleshooting by Q-KE-CLD Based on a Fuzzy Bayes ModelPilsung Choe, Mark R. Lehto, Jan P. Allebach. hci 2007: 391-400 [doi]

Experimental Comparison of Adaptive vs. Static Thumbnail DisplaysPilsung Choe, Chulwoo Kim, Mark R. Lehto, Jan P. Allebach. hci 2007: 41-48 [doi]

Development of an Approach for Optimizing the Accuracy of Classifying Claims Narratives Using a Machine Learning Tool (TEXTMINER[4])Helen L. Corns, Helen R. Marucci, Mark R. Lehto. hci 2007: 411-416 [doi]

Effect of Providing a Web-Based Collaboration Medium for Remote Customer Troubleshooting TasksChulwoo Kim, Pilsung Choe, Mark R. Lehto, Jan P. Allebach. hci 2007: 47-53 [doi]

Decision Theoretic Perspective on Optimizing Intelligent HelpChulwoo Kim, Mark R. Lehto. hci 2007: 358-365 [doi]

Text Analysis of Consumer Reviews: The Case of Virtual Travel FirmsXinran Lehto, Jung Kun Park, Ounjoung Park, Mark R. Lehto. hci 2007: 490-499 [doi]

A Bayesian Methodology for Semi-automated Task AnalysisShu-Chiang Lin, Mark R. Lehto. hci 2007: 697-704 [doi]

Computer Classification of Injury Narratives Using a Fuzzy Bayes Approach: Improving the ModelHelen R. Marucci, Mark R. Lehto, Helen L. Corns. hci 2007: 500-506 [doi]

Hybrid Singular Value Decomposition: A Model of Human Text ClassificationAmirali Noorinaeini, Mark R. Lehto, Sze-jung Wu. hci 2007: 517-525 [doi]

Relationship of Estimated Resolution Time and Computerized Clinical Reminder AdherenceSze-jung Wu, Mark R. Lehto, Yuehwern Yih, Jason J. Saleem, Bradley N. Doebbeling. amia 2007: [doi]

2006

Evaluating and Improving a Self-Help Technical Support Web Site: Use of Focus Group InterviewsPilsung Choe, Chulwoo Kim, Mark R. Lehto, Xinran Lehto, Jan P. Allebach. IJHCI, 21(3):333-354, 2006. [doi]

2005

A Prototype User Interface for a Mobile Electronic Clinical Note Data EntrySystemAtif Zafar, Mark R. Lehto, Jongseo Kim. amia 2005: [doi]

1999

Information representation and decision process: effects of measurement scale and shape of decision matrix on preferential choiceSheau-Farn Max Liang, Mark R. Lehto. hci 1999: 62-65

Decision Support for Indexing and Retrieval of Information in Hypertext SystemsWenli Zhu, Mark R. Lehto. IJHCI, 11(4):349-371, 1999. [doi]

1997

Decision Support for Indexing and Information Retrieval: Implications for Hypertext SystemsWenli Zhu, Mark R. Lehto. hci 1997: 747-750

1996

Survey of expert opinion: Which machine learning method may be used for which task?Vassilis Moustakis, Mark R. Lehto, Gavriel Salvendy. IJHCI, 8(3):221-236, 1996. [doi]

1995

The relative effectiveness of hypertext and textMark R. Lehto, Wenli Zhu, Bryan Carpenter. IJHCI, 7(4):293-313, 1995. [doi]

1993

The Relative Effectiveness of Hypertext and TextMark R. Lehto, Wenli Zhu, Bryan Carpenter. hci 1993: 181-186

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