Using fuzzy coding with qualitative data: example with subjective data in human-computer interaction

2019 ◽  
Vol 20 (4) ◽  
pp. 459-488
Author(s):  
Pierre Loslever ◽  
Taisa Guidini Gonçalves ◽  
Káthia Marçal de Oliveira ◽  
Christophe Kolski
Author(s):  
Lonni Besançon ◽  
Niklas Rönnberg ◽  
Jonas Löwgren ◽  
Jonathan P. Tennant ◽  
Matthew Cooper

Abstract Background Our aim is to highlight the benefits and limitations of open and non-anonymized peer review. Our argument is based on the literature and on responses to a survey on the reviewing process of alt.chi, a more or less open review track within the so-called Computer Human Interaction (CHI) conference, the predominant conference in the field of human-computer interaction. This track currently is the only implementation of an open peer review process in the field of human-computer interaction while, with the recent increase in interest in open scientific practices, open review is now being considered and used in other fields. Methods We ran an online survey with 30 responses from alt.chi authors and reviewers, collecting quantitative data using multiple-choice questions and Likert scales. Qualitative data were collected using open questions. Results Our main quantitative result is that respondents are more positive to open and non-anonymous reviewing for alt.chi than for other parts of the CHI conference. The qualitative data specifically highlight the benefits of open and transparent academic discussions. The data and scripts are available on https://osf.io/vuw7h/, and the figures and follow-up work on http://tiny.cc/OpenReviews. Conclusion While the benefits are quite clear and the system is generally well-liked by alt.chi participants, they remain reluctant to see it used in other venues. This concurs with a number of recent studies that suggest a divergence between support for a more open review process and its practical implementation.


2005 ◽  
Author(s):  
John Neumann ◽  
Jennifer M. Ross ◽  
Peter Terrence ◽  
Mustapha Mouloua

Author(s):  
Himanshu Bansal ◽  
Rizwan Khan

The advancement in the development of computer technology has led to the idea of human computer interaction. Research experiments in human computer interaction involves the young age group of people that are educated and technically knowledgeable. This paper focuses on the mental model in Human Computer Interaction. There are various approaches of this review paper and one of them is highlighting current approach, results and the trends in the human computer interaction and the second approach is to find out the research that have been invented a long time before and are currently lagging behind. This paper also focuses on the emotional intelligence of a user to become more user like, fidelity prototyping. The development and design of an automated system that perform such task is still being accomplished.


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