Supporting user adaptation in adaptive hypermedia applications

A hypermedia application offers its users a lot of freedom to navigate through a large hyperspace. The rich link structure of the hypermedia application can not only cause users to get lost in the hyperspace, but can also lead to comprehension problems because different users may be interested in different pieces of information or a different level of detail or difficulty. Adaptive hypermedia systems (or AHS for short) aim at overcoming these problems by providing adaptive navigation support and adaptive content. The adaptation is based on a user model that represents relevant aspects about the user. At the Eindhoven University of Technology we developed anAHS, named AHA {DC981. To describe its functionality and that of future adaptive systems we also developed a reference model for the architecture of adaptive hypermedia applications, named AHAM (for Adaptive Hypermedia Application Model) {DHW991. In AHAM knowledge is represented through hierarchies of large composite abstract concepts as well as small atomic ones. AHAM also divides the different aspects of an AHS into a domain model (DM). a user model (UM) and an adaptation model (AM). This division provides a clear separation of concerns when developing an adaptive hypermedia application. In this paper, we concentrate on the user modeling aspects of AHAM, but also describe how they relate to the domain model and the adaptation model. Also. we provide a separation between the adaptation rules an author or system designer writes (as part of the adaptation model) and the system's task of executing these rules in the right order. This distinction leads to a simplification of the author's or system designer's task to write adaptation rules. We illustrate authoring and adaptation in by some examples in the AHS AHA

Supporting user adaptation in adaptive hypermedia applications

A hypermedia application offers its users a lot of freedom to navigate through a large hyperspace. The rich link structure of the hypermedia application can not only cause users to get lost in the hyperspace, but can also lead to comprehension problems because different users may be interested in different pieces of information or a different level of detail or difficulty. Adaptive hypermedia systems (or AHS for short) aim at overcoming these problems by providing adaptive navigation support and adaptive content. The adaptation is based on a user model that represents relevant aspects about the user. At the Eindhoven University of Technology we developed anAHS, named AHA {DC981. To describe its functionality and that of future adaptive systems we also developed a reference model for the architecture of adaptive hypermedia applications, named AHAM (for Adaptive Hypermedia Application Model) {DHW991. In AHAM knowledge is represented through hierarchies of large composite abstract concepts as well as small atomic ones. AHAM also divides the different aspects of an AHS into a domain model (DM). a user model (UM) and an adaptation model (AM). This division provides a clear separation of concerns when developing an adaptive hypermedia application. In this paper, we concentrate on the user modeling aspects of AHAM, but also describe how they relate to the domain model and the adaptation model. Also. we provide a separation between the adaptation rules an author or system designer writes (as part of the adaptation model) and the system's task of executing these rules in the right order. This distinction leads to a simplification of the author's or system designer's task to write adaptation rules. We illustrate authoring and adaptation in by some examples in the AHS AHA

The Role of Dispositional and Situational Factors in Assessment of User Response to New IT – A Coping Theory Perspective of User Adaptation from IT Implementation to Job Outcomes.

New IT-related disturbing events remain a significant challenge for organizations as individuals could perceive what is at stake for them as an opportunity or a threat. Furthermore, they assess the resources available while engaging in these situations. Therefore, it is essential to study the contextual and dispositional factors which affect specific adaptation behaviors that individuals undertake to cope with an IT and the antecedents and consequences of these appraisals. By utilizing the coping model of user adaptation, we theorize users\u27 IT adaptation behaviors as a coping process performed by individuals and investigate their coping appraisals that could affect job outcomes. Further, we theorize the moderating influence of personality traits on the relationship between situation-specific factors and coping appraisal. By analyzing these inquiries, this study provides a more informed way of conceptualizing the coping model of user adaptation, which influences the selection or preference of coping strategies and job outcomes

“I’m Lovin’ IT”: Toward a Technophilia Model of User Adaptation to ICT

This article expands the conceptual space of technophilia to encompass a broader range of positive emotions toward information and communications technology (ICT). Then, to accentuate the crucial role of technophilia in helping people proactively engage with dynamic ICT environments, we draw upon the broaden-and-build theory to illustrate how technophilia promotes momentary thought-action repertories, development and accumulation of enduring resources, and the enhancement of one’s adaption behaviors in a healthy, fruitful fashion. To fortify the existing broad-and-build theory, psychological capital is also employed to explain why a broad emotion-based technophilia concept is likely to influence user adaption behaviors. In future exploratory analyses, we hope to obtain adequate empirical results to support our nomological network of technophilia