Showing papers on "Computer user satisfaction published in 2018"

Joint user knowledge and matrix factorization for recommender systems

Abstract: Currently, most of the existing recommendation methods treat social network users equally, which assume that the effect of recommendation on a user is decided by the user’s own preferences and social influence. However, a user’s own knowledge in a field has not been considered. In other words, to what extent does a user accept recommendations in social networks need to consider the user’s own knowledge or expertise in the field. In this paper, we propose a novel matrix factorization recommendation algorithm based on integrating social network information such as trust relationships, rating information of users and users’ own knowledge. Specifically, since we cannot directly measure a user’s knowledge in the field, we first use a user’s status in a social network to indicate a user’s knowledge in a field, and users’ status is inferred from the distributions of users’ ratings and followers across fields or the structure of domain-specific social network. Then, we model the final rating of decision-making as a linear combination of the user’s own preferences, social influence and user’s own knowledge. Experimental results on real world data sets show that our proposed approach generally outperforms the state-of-the-art recommendation algorithms that do not consider the knowledge level difference between the users.

Towards interacting with smarter systems

Abstract: The aim of this article is the requirement analysis, design, proof-of-concept implementation and user evaluation of a novel user interface that is specifically developed to support interaction with ambient intelligence systems. The focus of the user interface is rather on interacting with ambient intelligence, a meta system that comes into existence as the result of the coherent behavior and collective intelligence of interconnected smart devices and systems of a domain such as meeting rooms or smart homes. To design the user interface, we conducted an empirical user and task analysis and elaborated requirements, defining the scope of human interaction with ambient intelligence. The captured requirements shed light on the characteristics of such a user interface and lay the foundations for describing a meta system architecture. As our major contribution, we provide an interaction model formally specifying human–meta system interaction. Based on this specification, we have designed and developed basic affordances of the specified meta user interface such as overriding default system behavior, monitoring and predicting past, current, and future automations, or exploring the possible effects of a certain type of automation. The prototype and implementation of the meta-UI is then assessed through a Cognitive Walkthrough and a formative user evaluation. The result of the evaluation indicates that the designed meta-UI can increase usability of the human-meta system interaction.

Continuous-Time User Modeling in Presence of Badges: A Probabilistic Approach

Abstract: User modeling plays an important role in delivering customized web services to the users and improving their engagement. However, most user models in the literature do not explicitly consider the temporal behavior of users. More recently, continuous-time user modeling has gained considerable attention and many user behavior models have been proposed based on temporal point processes. However, typical point process-based models often considered the impact of peer influence and content on the user participation and neglected other factors. Gamification elements are among those factors that are neglected, while they have a strong impact on user participation in online services. In this article, we propose interdependent multi-dimensional temporal point processes that capture the impact of badges on user participation besides the peer influence and content factors. We extend the proposed processes to model user actions over the community-based question and answering websites, and propose an inference algorithm based on Variational-Expectation Maximization that can efficiently learn the model parameters. Extensive experiments on both synthetic and real data gathered from Stack Overflow show that our inference algorithm learns the parameters efficiently and the proposed method can better predict the user behavior compared to the alternatives.

User preferences for adaptive user interfaces in health information systems

Abstract: An adaptive user interface requires identification of user requirements. Interface designers and engineers must understand end-user interaction with the system to improve user interface design. A combination of interviews and observations is applied for user requirement analysis in health information systems (HIS). Then, user preferences are categorized in this paper as either data entry, language and vocabulary, information presentation, or help, warning and feedback. The user preferences in these categories were evaluated using the focus group method. Focus group sessions with different types of HIS users comprising medical staff (with and without computer skills) and system administrators identified each user group’s preference for the initial adaptation of the HIS user interface. User needs and requirements must be identified to adapt the interface to users during data entry into the system. System designers must understand user interactions with the system to identify their needs and preferences. Without this, interface design cannot be adapted to users and users will not be comfortable using the system and eventually abandon its use.

Importance Weighting in Client Satisfaction Measures: Lessons from the Life Satisfaction Literature

Abstract: This article examines the role of perceived importance of service elements, or importance weighting, in client satisfaction measures. Drawing on the debate over importance weighting in the life satisfaction literature, this article assesses the adequacy of and the need for importance weighting in client satisfaction measures. Based on a client satisfaction survey (N = 156), the current study explored (1) whether or not all service elements of homecare services were considered equally important, and (2) whether or not the relationships between overall satisfaction with homecare services and satisfaction with various service elements of homecare services varied significantly across perceived importance of service elements. Findings showed that (1) not all service elements of homecare services were considered equally important, and (2) relationships between overall satisfaction with homecare services and satisfaction with various service elements of homecare services varied significantly across perceived importance of service elements. The findings support the incorporation of perceived importance of service elements into client satisfaction measures.

The Identification of Job Satisfaction under Z-Information

Abstract: Complexities in organizational and economical environments have lead psychologists, management scholars, and economists to investigate the multi-dimensional essence of job satisfaction. Unfortunately, existing studies are based on exact data, whereas relevant information is imperfect. To deal with imprecise and partially reliable information, Zadeh proposed the concept of a Z-number. In this paper we consider the Z-number valued rule based model to represent the relationship between job satisfaction and the facets/factors influencing job satisfaction. A real-world job satisfaction index evaluation problem is used to illustrate the suggested approach

User satisfaction with search-driven enterprise portals

Abstract: Advances in new information technology have considerably changed the end user computer environment. Therefore, it is appropriate to revalidate existing user satisfaction measurement instruments. Doll and Torkzadeh (1988) developed an instrument that measured end user satisfaction with now 20-year old information systems and which has been widely cited and used. This pilot study revalidates their measurement instrument on a state-of-the-art, search-driven enterprise portal.