Human-Information Interaction with Complex Information for Decision-Making
نویسنده
چکیده
Human–information interaction (HII) for simple information and for complex information is different because people’s goals and information needs differ between the two cases. With complex information, comprehension comes from understanding the relationships and interactions within the information and factors outside of a design team’s control. Yet, a design team must consider all these within an HII design in order to maximize the communication potential. This paper considers how simple and complex information requires different design strategies and how those strategies differ.
منابع مشابه
Factors influencing decision making for healthcare services outsourcing: A review and Delphi study
Background: Outsourcing is considered as one of the tools for organizational development and promotion of productivity by managers. In recent years, outsourcing of healthcare services has become significant. The aim of this study was to identify the most important factors influencing the decision making of outsourcing healthcare services. Methods: This study is a combined study. F...
متن کاملThe effect of increasing positive mood and academic enthusiasm on decision-making power in interaction with information
Purpose: The purpose of this research is to investigate the effect of increasing positive mood and academic-emotional, behavioral and cognitive enthusiasm on the decision-making power in interacting with information in technical engineering male students of Noushirani University. Method: The research method is descriptive and correlational. The statistical sample in this study is 70 available s...
متن کاملDecision making in medical investigations using new divergence measures for intuitionistic fuzzy sets
In recent times, intuitionistic fuzzy sets introduced by Atanassov has been one of the most powerful and flexible approaches for dealing with complex and uncertain situations of real world. In particular, the concept of divergence between intuitionistic fuzzy sets is important since it has applications in various areas such as image segmentation, decision making, medical diagnosis, pattern reco...
متن کاملA method to solve the problem of missing data, outlier data and noisy data in order to improve the performance of human and information interaction
Abstract Purpose: Errors in data collection and failure to pay attention to data that are noisy in the collection process for any reason cause problems in data-based analysis and, as a result, wrong decision-making. Therefore, solving the problem of missing or noisy data before processing and analysis is of vital importance in analytical systems. The purpose of this paper is to provide a metho...
متن کاملتبیین رابطه سیستمهای اطلاعاتی (IS) و فرآیند تصمیم گیری مدیران میانی نظام بانکداری خصوصی ( مورد مطالعه : بانک سامان )
In this thesis “the relationship between information systems (IS) and decision making process of private bank middle managers” on the aspect of decisions effectiveness enhancement is surveyed.The independent variable of this research is information systems that consists of TPS, MIS, DSS, GDSS and SIS. Decision making process could be affected from several aspects by information systems.Some imp...
متن کاملSHAPLEY FUNCTION BASED INTERVAL-VALUED INTUITIONISTIC FUZZY VIKOR TECHNIQUE FOR CORRELATIVE MULTI-CRITERIA DECISION MAKING PROBLEMS
Interval-valued intuitionistic fuzzy set (IVIFS) has developed to cope with the uncertainty of imprecise human thinking. In the present communication, new entropy and similarity measures for IVIFSs based on exponential function are presented and compared with the existing measures. Numerical results reveal that the proposed information measures attain the higher association with the existing me...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Informatics
دوره 2 شماره
صفحات -
تاریخ انتشار 2015