Experimental Research in Operation Management in Engine Room by using Language Sentiment/Opinion Analysis

The paper argues for the necessity of a combination mixed methods research (MMR) methods (questionnaire, interview) and sentiment/opinion techniques to personal satisfaction analysis at the maritime and training education and proposes a generic, but practical research approach for this purpose. The proposed approach concerns the personal satisfaction evaluation of Engine Room simulator systems and combines the speech recording (sentiment/opinion analysis) for measuring emotional user responses with usability testing (SUS tool). The experimental procedure presented here is a primary effort to research the emotion analysis (satisfaction) of the users-students in Engine Room Simulators. Finally, the ultimate goal of this research is to find and test the critical factors that influence the educational practice and user’s satisfaction of Engine Room Simulator Systems and the ability to conduct full-time system control by the marine crew.

[1]  Karo Moilanen,et al.  Sentiment Composition , 2007 .

[2]  Wai-Yip Chan,et al.  An experimental assessment of personal speech coding , 2000, Speech Commun..

[3]  Gaël Dias,et al.  Merged Agreement Algorithms for Domain Independent Sentiment Analysis , 2011 .

[4]  T. V. Prabhakar,et al.  Sentence Level Sentiment Analysis in the Presence of Conjuncts Using Linguistic Analysis , 2007, ECIR.

[5]  Linda M. Rose,et al.  Exploring maritime ergonomics from a bottom line perspective , 2010 .

[6]  Kent L. Norman,et al.  Levels of automation and user participation in usability testing , 2006, Interact. Comput..

[7]  Bertram C. Bruce.  Computers and the collaborative experience of learning , 1995 .

[8]  Soo-Min Kim,et al.  Determining the Sentiment of Opinions , 2004, COLING.

[9]  Japinder Singh,et al.  Feature-based opinion mining and ranking , 2012, J. Comput. Syst. Sci..

[10]  D. Papachristos,et al.  Sentiment Analysis Use in the Satisfaction Evaluation for Maritime Education , 2013 .

[11]  K. Scherer,et al.  The World of Emotions is not Two-Dimensional , 2007, Psychological science.

[12]  Stephanie Rosenbaum,et al.  Alternative methods for field usability research , 2003, SIGDOC '03.

[13]  R. Zajonc.  On the primacy of affect. , 1984 .

[14]  Bonnie E. John,et al.  Tracking the effectiveness of usability evaluation methods , 1997, Behav. Inf. Technol..

[15]  Claire Cardie,et al.  Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis , 2008, EMNLP.

[16]  Jakob Nielsen,et al.  Usability inspection methods , 1994, CHI 95 Conference Companion.

[17]  Ming Liu,et al.  Research of Product Ranking Technology Based on Opinion Mining , 2009, 2009 Second International Conference on Intelligent Computation Technology and Automation.

[18]  Kathleen R. McKeown,et al.  Predicting the semantic orientation of adjectives , 1997 .

[19]  M. Just,et al.  Constructing mental models of machines from text and diagrams. , 1993 .

[20]  Stephen G. Pulman,et al.  Multi-entity Sentiment Scoring , 2009, RANLP.

[21]  Wei Zhang,et al.  Opinion retrieval from blogs , 2007, CIKM '07.

[22]  Harry Budi Santoso,et al.  Measuring the user experience , 2008 .

[23]  Clement T. Yu,et al.  The effect of negation on sentiment analysis and retrieval effectiveness , 2009, CIKM.

[24]  R Kadefors,et al.  Working on a moving surface--a biomechanical analysis of musculo-skeletal load due to ship motions in combination with work. , 1994, Ergonomics.

[25]  R. Fidel.  Are we there yet?: Mixed methods research in library and information science , 2008 .

[26]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[27]  Young Sam Ryu,et al.  Development of Usability Questionnaires for Electronic Mobile Products and Decision Making Methods , 2005 .

[28]  D. Papachristos,et al.  Emotion Evaluation of Simulation Systems in Educational Practice , 2012 .

[29]  D. Papachristos,et al.  Usability Evaluation at the Ship ’ s Bridge : A Multi-Method Approach , 2012 .

[30]  Erik Styhr Petersen,et al.  Making the Phantom Real: A Case of Applied Maritime Human Factors , 2010 .

[31]  Susumu Saito,et al.  Ergonomics of human-system interaction , 1994 .

[32]  Panagiotis Germanakos,et al.  An Experimental Assessment of the Use of Cognitive and Affective Factors in Adaptive Educational Hypermedia , 2009, IEEE Transactions on Learning Technologies.

[33]  M. Patton,et al.  Qualitative evaluation and research methods , 1992 .

[34]  Madhusoodan Tripathi.  Modern Educational Technology , 2006 .

[35]  Jiangping Wang.  The current status and future aspects in formal ship safety assessment , 2001 .

[36]  Isa Maks,et al.  A lexicon model for deep sentiment analysis and opinion mining applications , 2012, Decis. Support Syst..

[37]  Kong Ling-yan.  Modern Educational Technology and Quality Education , 2008 .

[38]  S. Pinker,et al.  The faculty of language: what's special about it? , 2005, Cognition.

[39]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .