Important Design Features in Different Web Site Domains: An Empirical Study of User Perceptions

Since people often communicate internal states and intentions through movement, robots can better interact with humans if they too can modify their movements to communicate changing state. These movements, which may be seen as supplementary to those required for workspace tasks, may be termed “expressive.” However, robot hardware, which cannot recreate the same range of dynamics as human limbs, often limit expressive capacity. One solution is to augment expressive robotic movement with expressive sound. To that end, this paper presents an application for synthesizing sounds that match various movement qualities. Its design is based on an empirical study analyzing sound and movement qualities, where movement qualities are parametrized according to Laban’s Effort System. Our results suggests a number of correspondences between movement qualities and sound qualities. These correspondences are presented here and discussed within the context of designing movement-quality-to-sound-quality mappings in our sound synthesis application. This application will be used in future work testing user perceptions of expressive movements with synchronous sounds.

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Optimal Design of Virtual Reality Visualization Interface Based on Kansei Engineering Image Space Research

Symmetry ◽

10.3390/sym12101722 ◽

2020 ◽

Vol 12 (10) ◽

pp. 1722

Author(s):

Qianwen Fu ◽

Jian Lv ◽

Shihao Tang ◽

Qingsheng Xie

Keyword(s):

Neural Network ◽

Machine Learning ◽

Virtual Reality ◽

Regression Analysis ◽

Convolutional Neural Network ◽

Kansei Engineering ◽

Design Features ◽

Design Elements ◽

Design Scheme ◽

Important Design

To effectively organize design elements in virtual reality (VR) scene design and provide evaluation methods for the design process, we built a user image space cognitive model. This involved perceptual engineering methods and optimization of the VR interface. First, we studied the coupling of user cognition and design features in the VR system via the Kansei Engineering (KE) method. The quantitative theory I and KE model regression analysis were used to analyze the design elements of the VR system’s human–computer interaction interface. Combined with the complex network method, we summarized the relationship between design features and analyzed the important design features that affect users’ perceptual imagery. Then, based on the characteristics of machine learning, we used a convolutional neural network (CNN) to predict and analyze the user’s perceptual imagery in the VR system, to provide assistance for the design optimization of the VR system design. Finally, we verified the validity and feasibility of the solution by combining it with the human–machine interface design of the VR system. We conducted a feasibility analysis of the KE model, in which the similarity between the multivariate regression analysis of the VR intention space and the experimental test was approximately 97% and the error was very small; thus, the VR intention space model was well correlated. The Mean Square Error (MSE) of the convolutional neural network (CNN) prediction model was calculated with a measured value of 0.0074, and the MSE value was less than 0.01. The results show that this method can improve the effectiveness and feasibility of the design scheme. Designers use important design feature elements to assist in VR system optimization design and use CNN machine learning methods to predict user image values in VR systems and improve the design efficiency. Facing the same design task requirements in VR system interfaces, the traditional design scheme was compared with the scheme optimized by this method. The results showed that the design scheme optimized by this method better fits the user’s perceptual imagery index, and thus the user’s task operation experience was better.

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Innovative Design Features Addition for Artisan Traditional Craft with IOT to Promote Local Entrepreneurship; An Empirical Study of Small and Micro Community Enterprise (SMCE) Wood Carving in Chiang Rai, Thailand

2018 Global Wireless Summit (GWS) ◽

10.1109/gws.2018.8686642 ◽

2018 ◽

Cited By ~ 1

Author(s):

Santichai Wicha

Keyword(s):

Empirical Study ◽

Design Features ◽

Innovative Design ◽

Wood Carving

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What are the important design features of personal health records to improve medication adherence for patients with long-term conditions? A systematic literature review

BMJ Open ◽

10.1136/bmjopen-2018-028628 ◽

2019 ◽

Vol 9 (9) ◽

pp. e028628 ◽

Cited By ~ 3

Author(s):

Elisavet Andrikopoulou ◽

Philip Scott ◽

Helena Herrera ◽

Alice Good

Keyword(s):

Medication Adherence ◽

Risk Of Bias ◽

Personal Health ◽

Design Features ◽

Improve Medication Adherence ◽

Long Term Conditions ◽

Quality Of Evidence ◽

Important Design

ObjectivesThis systematic literature review aims to identify important design features of the electronic personal health record (PHR) that may improve medication adherence in the adult population with long-term conditions.Data sourcesPubMed (including MEDLINE), CINAHL, Science Direct (including EMBASE), BioMed Central, ACM digital, Emerald Insight, Google Scholar and Research Gate.MethodsStudies that were published between 1 January 2002 and 31 May 2018 in English were included if the participants were adults, with at least one long-term condition, were able to self-administer their medication and were treated in primary care settings. The quality of evidence was assessed with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system and the risk of bias was appraised using the Cochrane risk of bias tool.ResultsFrom a total of 27 studies that matched the inclusion criteria, 12 were excluded due to low quality of evidence, 10 were rated moderate and 5 were rated high quality. All the included studies had low sample size and limited follow-up duration. Thirteen of the included studies found that the use of a PHR has increased medication adherence. The identified design features are reminders, education, personalisation and tailoring, feedback and alerts, gamification, medication management, medical appointment management, diary and self-monitoring, health condition management, set goals, patient’s blog and tethered. It was impossible to draw conclusions as to which feature is important to what group of patients and why. The most frequently identified conditions were HIV and diabetes. This review did not identify any papers with negative results. It was not possible to numerically aggregate the PHR effect due to high heterogeneity of the medication adherence measurement, study type, participants and PHRs used.ConclusionAlthough we found recurrent evidence that PHRs can improve medication adherence, there is little evidence to date to indicate which design features facilitate this process.PROSPERO registration numberCRD42017060542.

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Voter Information Web Sites

Encyclopedia of Digital Government ◽

10.4018/978-1-59140-789-8.ch250 ◽

2011 ◽

pp. 1623-1628

Author(s):

A. Edwards

Keyword(s):

Web Sites ◽

Information Seeking ◽

Web Site ◽

Future Trends ◽

Discussion Forums ◽

Design Features ◽

Site Design ◽

Voter Information ◽

Voting Decisions ◽

The Web

Several election studies observe that considerations regarding issues and policies have been gaining weight in voting decisions in Western countries, at the expense of previously existing class or partisan alignments (Denver, 2003). This development may imply that voters show more information-seeking behaviour. In the 1990s, various Web sites have emerged that are designed to support the voters in this job. These voter information Web sites are nonpartisan Web sites that provide the users with information on the election promises, issue positions or past performance of political parties or individual candidates. The term Web site should be understood as including various Internet-based resources and facilities, such as databases, decision-support systems, and discussion forums. In this article, we address the question what these voter information Web sites may offer in terms of their potential of enhancing the quality of voting decisions. The core of this exposition will centre on the Web site design features and on how the voters make use of the Web sites. In the next section, we will highlight the distinction between prospective and retrospective Web sites. The section titled “Voter Information Web Sites” provides an overview of the main design features of voter information Web sites. Some examples of prospective and retrospective Web sites will be discussed. In the Future Trends section, we point toward some future trends. Finally, a tentative assessment will be given of the significance of voter information Web sites for enhancing the functioning of representative democracy.

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The Asymmetric Effect of Web Site Attribute Performance on Web Satisfaction: An Empirical Study

e-Service Journal ◽

10.1353/esj.2005.0007 ◽

2004 ◽

Vol 3 (3) ◽

pp. 65-86 ◽

Cited By ~ 1

Author(s):

Christy M. K. Cheung ◽

Matthew K. O. Lee

Keyword(s):

Empirical Study ◽

Web Site ◽

Asymmetric Effect

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