Establishing a framework for visualizing music mood using visual texture

There are many researches that introduce various techniques of browsing and discovering music using “visual forms” to the listeners.“Visual forms” include album cover, colour and mood picture are used to represent music mood in a way that can be easily understood by listeners.It has been proven that visual texture can represent mood too.However there is no research that uses visual texture to represent music mood.In this research, we are proposing a framework for visualising music mood using visual texture.The framework will assist digital music service developers to design visual textures that can represent music mood in a digital music collection application or website. In order to establish the framework, we went through three different stages of the design process.In this paper, we present the three different stages and justify why they are required

Consumer Perceptions in the Adoption of the Electronic Health Records in Australia: A Pilot Study

The paper reports an empirical investigation of the factors affecting consumer perceptions of the adoption of Electronic Health Record (EHR) in Australia. This paper also details the processes involved in the pilot testing of the instrument where it has been pilot-tested to a convenience sample by sending individual postal survey envelopes to shortlisted community organizations in Australia. Reliability analysis to check the internal consistency was performed using the Cronbach’s alpha. Content validity was achieved by reviewing the instrument with a panel of experts. The results of this pilot study proved the feasibility of a full-scale study and these could be used as the basis for refinement of the instrument. Based upon the outcome of validity and reliability testing, items for the final instrument were identified. The findings showed that the proposed model does fit the data well and has a significant and positive impact on consumer’s attitude in using EHR

Modelling the persuasive visual design model for web design: a confirmatory factor analysis with PLS-SEM

Visual design plays an important role in grabbing web users’ attention in an online environment. Previous research has demonstrated that different types of visual design causes different impact towards the end-users. This paper observes the impact of persuasive visual towards users’ first impression, attitudes, and behaviours. It extends existing web visual design by empirically examining the critical roles of the principles of social influence in the form of visual persuasion in motivating users to have a favourable impression of a particular website. Survey data was collected in an experimental study that was conducted online. Structural model assessment is carried out using confirmatory factor analysis (CFA) in conjunction with PLS-SEM analyses. The general analysis of model fit indicates that the two models proposed in this paper surpassed the cut off values for model acceptance with most of the model fit criteria reflects outstanding explanatory power. The result of the analysis indicates that visual persuasion has a big impact in influencing users’ attitudes on the web; strong enough to affect their behavioural intention

Comparing the influence of non-persuasive and persuasive visual on a website and their impact on users behavioural intention

Research related to first impression formation has highlighted the importance of visual appeal in influencing favourable attitude towards a website. It is proposed that users are actually drawn to specific characteristics or aspects of visual design of a website, and tend to disregard other features. Therefore, this study aims to investigate which visual design strongly appeals to the users by comparing the impact of common visuals with persuasive visuals.The principles of social influence are proposed as added value to the persuasiveness of the web visuals.An experimental study is conducted and the PLS-SEM method is employed to analyse the obtained data. The result of the exploratory and confirmatory analyses demonstrated that the structural model displays better quality when tested with persuasive data sample compared to non-persuasive data sample. Thus, it is concluded that persuasive visual helps to better explain the relationship between users' attitude and intention. This means that exposure to persuasive visuals brings about consistent favourable perception to the web design

Instruments for measuring the influence of visual persuasion: validity and reliability tests

In User Experience (UX) research, the instruments are often measured by means of rating scales such as Likert scale and semantic differential scale. The validity of the findings and conclusions rely heavily on the instruments used in the questionnaires.This paper provides the assessment of the validity and reliability of a new set of measures to evaluate the influence of visual persuasion on web users.The instruments will be used to assess web users' perceptions of credibility, engagement, informativeness, satisfaction, social influences, usability, and visual aesthetic.Firstly, 85 items are pilot tested by expert and novice users in an offline and online settings. Secondly, the exploratory factor analysis is carried out in which 44 items representing 12 latent variables are reduced to 39 items with some of the latent variables are combined into one.The results show: Kaiser-Meyer-Olkin (KMO) of 0.901, significant Bartlett’s test, communalities range between 0.470 - 0.829, nine factors (also known as the latent variables) emerged with eigenvalues greater than 1, explaining more than 60% of the total variance, factor loadings of 0.466 and above, factors correlations of less than 0.7, and Cronbach’s alphas are well above the limit of 0.70. Finally, a confirmatory factor analysis is carried out on the first-order and second-order latent variables using the PLS-SEM. The instruments exceed the minimum requirement of the assessments for the convergent validity, discriminant validity, reliability and collinearity. The findings suggest that the proposed 39 items are valid and reliable for measuring the persuasiveness of visual persuasion

EEG Signal Analysis of Writing and Typing between Adults with Dyslexia and Normal Controls

EEG is one of the most useful techniques used to represent behaviours of the brain and helps explore valuable insights through the measurement of brain electrical activity. Hence, plays a vital role in detecting neurological conditions. In this paper, we identify some unique EEG patterns pertaining to dyslexia, which is a learning disability with a neurological origin. Although EEG signals hold important insights of brain behaviours, uncovering these insights are not always straightforward due to its complexity. We tackle this using machine learning and uncover unique EEG signals generated in adults with dyslexia during writing and typing as well as optimal EEG electrodes and brain regions for classification. This study revealed that the greater level of difficulties seen in individuals with dyslexia during writing and typing compared to normal controls are reflected in the brainwave signal patterns

Comparing the Influence on Non-Persuasive and Persuasive Visual on a Website and Their Impact on Users Behavioural Intention

Research related to first impression formation has highlighted the importance of visual appeal in influencing favourable attitude towards a website. It is proposed that users are actually drawn to specific characteristics or aspects of visual design of a website, and tend to disregard other features. Therefore, this study aims to investigate which visual design strongly appeals to the users by comparing the impact of common visuals with persuasive visuals. The principles of social influence are proposed as added value to the persuasiveness of the web visuals. An experimental study is conducted and the PLS-SEM method is employed to analyse the obtained data. The result of the exploratory and confirmatory analyses demonstrated that the structural model displays better quality when tested with persuasive data sample compared to non-persuasive data sample. Thus, it is concluded that persuasive visual helps to better explain the relationship between users' attitude and intention. This means that exposure to persuasive visuals brings about consistent favourable perception to the web design

Proposed Conceptual Design Model of Persuasive Game for Upper limb for Stroke Rehabilitation

The gamification of stroke rehabilitation may increase patient's motivation and engagement towards their rehabilitation activity and hence contributes to faster recovery. Apart from the interactive experience that games offer, it also may be used as a persuasive tool. In this view, games may be used to persuade stroke patients in shaping a good behavior towards their rehabilitation activity. This paper reports our proposed conceptual design model of building persuasive game for stroke patients that follows the Persuasive System Design Model. We incorporate the persuasive software features that includes reduction, tailoring, self-monitoring, and rewards. The proposed game architecture is also discussed in this paper