Wan Adilah Wan Adnan, PhD

Role of individual differences has been emphasized for system success. Many researchers claim about the need for a better understanding of individual differences as empirical evidence is still very limited. The purpose of this paper is to examine the extent to which individual differences affects one’s decision performance and decision processes. This study focuses on decision making style and gender

In the Human-computer interaction (HCI) literature, it has been recommended that user involvement and HCI considerations in the software development life cycle (SDLC) is an important mechanism for a successful system implementation. However, it is still unclear to what extend do the user involvement and HCI consideration have been adopted by software development practitioners. This paper reports the results of a survey on the importance of HCI in SDLC from practitioner perspective. The survey involves thirty two software designers. The objectives of the study are to identify the state of user involvement in SDLC and to identify the HCI elements that have been addressed. Results have found that many of practitioners involve users in SDLC, but majority are only during the requirement analysis phase. The findings also reveal that HCI elements on functionality are well addressed, however, the non-functionality elements such as cultural and affective values have not been emphasized by practitioners. The paper concludes with recommendation to further investigate on user awareness on the importance of user involvement in the software development.

This paper proposes expressive information visualization (IV) taxonomy to support cognitive and perceptual needs for decision support environment. Four key dimensions have been identified, namely representation, organization, interaction and content. The effects of these expressive dimensions on user satisfaction were examined. Results suggest that these dimensions are important and affect their satisfaction. Further analysis was conducted and results indicate that there are significant differences across IV techniques and decision style. This suggests and provides empirical evidence that the proposed Expressive IV Taxonomy is important to consider in the design and evaluation of IV in particular and user interface in general

The growth of techno-dependency and the proliferation of creative engagement have spurred research towards the creation of human values through digital engagement. Against the backdrop of technology evolution, research on human computer interaction (HCI) has begun to explore dimensions of human value derived from the aesthetics of interaction. This desire for beauty aligns to the Maslow's hierarchy of human needs which acknowledge that humans needs aesthetic satisfaction to realize self-actualization. However in the past, the main focus of aesthetics in HCI research was on visual beauty of the user interface. To further explore new forms and perspective of aesthetics of interaction, we present the notion of graceful interaction. In this paper, we present the theoretical understanding derived from the multidisciplinary areas of human basic movement, aesthetics and interaction design into a graceful interaction phenomenon of interactive interface as an attempt to build the foundations for the graceful interaction framework. We also argue that the aesthetics of human movement can be applied to the online environment and illustrates how the movement paradigm and can be aligned and mapped into user experience interaction design. Based on these theoretical understandings, several theoretical propositions are formed to describe the aesthetics dimensions of graceful interaction.

The importance of individual characteristics has been emphasized in the human computer interaction and information visualization (IV) literature. However, decision style, which is recognized as one of the key individual cognitive differences that affects system success, has received little attention in these areas. This study aims to examine how decision style, IV techniques and task complexity affects decision performance and user preferences in a managerial decision support environment. The study adopted an experimental method, based on within-participants design approach. The results showed that there were significant differences in decision performance between IV techniques, individual differences and task. The results suggest that decision style moderates the relationship between IV techniques and performance. The findings have important implications for the DSS designers, and provide important research issues for future work.