Comprehensive Understanding of Intelligent User Interfaces

Proceedings of the 31st Conference on l'Interaction Homme-Machine: Adjunct

The user interfaces promote the interaction with the software system to achieve the users' goals. In this way different types of interaction are provided, such as direct manipulation, web UI or tangible interaction. These interfaces have evolved, including artificial intelligence and adaptation mechanisms to answer the evolution of the technological areas. From this evolution emerged the intelligent user interfaces that aim to be more effective, efficient, and natural.

2014

Abstract. The AI*HCI workshop attempts to provide some answers on how AI can be used in the context of HCI research community. Adaptation, personalization and user modeling have been the recurrent themes among the accepted papers. These themes have been investigated and applied to several domains such as tourism, museum visits, information presentation and virtual environment adaptation.This first edition of the workshop has eight accepted papers,

1997

Intelligent user interfaces are characterised by their capability to adapt at run-time and make several communication decisions concerning 'what', 'when', 'why' and 'how' to communicate, through a certain adaptation strategy. In this paper, we present a methodological approach to assist this decision making process, which is based on a clear separation of the important attributes that characterise the adaptation strategy, namely the adaptation determinants, constituents, goals and rules. Based on this separation, we also present a methodological approach for the formulation of adaptation rules, which utilises techniques from the domain of multiple criteria decision making. It is argued that, following the proposed approach, the adaptation strategy can be easily customised to the requirements of different application domains and user groups, and can be re-used with minor modifications in different applications. As a result, developers of intelligent user interfaces can be significantly assisted, and users can be empowered to exploit the benefits of intelligent interfaces.

Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces

Decision making theories have been proved to be very successful for evaluating the users' interests and preferences in Intelligent User Interfaces (IUIs). However, their application and incorporation in the reasoning of an IUI requires empirical studies throughout the software life-cycle that lead to requirements analysis and specification, important design decisions and evaluation of the resulting IUI. This paper presents a life-cycle model of how a decision making theory can be applied effectively in an IUI and gives detailed information about the experiments conducted. More specifically, the Simple Additive Weighting (SAW) model has been used as a theory test bed and has been applied in an IUI that is called MBIFM. MBIFM is a file manipulation system that works in a similar way as Windows/NT Explorer. However, the system constantly reasons about every user's action and provides spontaneous advice, in case this is considered necessary.

This paper describes the interface components for a systemcalled Betty's Brain, an intelligent agent we have developed forstudying the learning by teaching paradigm. Our previous studieshave shown that students gain better understanding of domainknowledge when they prepare to teach others versus whenthey prepare to take an exam. This finding has motivated us todevelop computer agents that students teach using concept maprepresentations with a visual interface. Betty is intelligent notbecause she learns on ...

2009

Three areas of study have substantial overlap with HCI even as the focus of inquiry shifts. In the study of personal information management (PIM), human interactions with the computer are placed in a larger informational context -people may work with many forms of information, some computer-based, many not (e.g., whiteboards, notebooks, sticky notes, refrigerator magnets) in order to understand and effect desired changes in their world. In computer-supported cooperative work (CSCW), emphasis is placed on the use of computing systems in support of the collaborative work of a group of people. The principles of human interaction management (HIM) extend the scope of CSCW to an organizational level and can be implemented without use of computer systems.

2020

Human-Computer Interaction with the traditional User Interface is done using a specified in advance script dialog "menu", mainly based on human intellect and unproductive use of navigation. This approach doesn't lead to making qualitative decision in control systems, where the situations and processes cannot be structured in advance. Any dynamic changes in the controlled business process (as example, in organizational unit of the information fuzzy control system) make it necessary to modify the script dialogue in User Interface. This circumstance leads to a redesign of the components of the User Interface and of the entire control system. In the Intelligent User Interface, where the dialog situations are unknown in advance, fuzzy structured and artificial intelligence is crucial, the redesign described above is impossible. To solve this and other problems, we propose the data, information and knowledge based technology of Smart/ Intelligent User Interface (IUI) design, which interacts with users and systems in natural and other languages, utilizing the principles of Situational Control and Fuzzy Logic theories, Artificial Intelligence, Linguistics, Knowledge Base technologies and others. The proposed technology of IUI design is defined by multi-agents of a) Situational Control and of data, information and knowledge, b) modelling of Fuzzy Logic Inference, c) Generalization, Representation and Explanation of knowledge, c) Planning and Decision-making, d) Dialog Control, e) Reasoning and Systems Thinking, f) Fuzzy Control of organizational unit in real-time, fuzzy conditions, heterogeneous domains, and g) multilingual communication under uncertainty and in Fuzzy Environment.

2020

IJ ITA is official publisher of the scientific papers of the members of the ITHEA ® International Scientific Society IJ ITA welcomes scientific papers connected with any information theory or its application. IJ ITA rules for preparing the manuscripts are compulsory. The rules for the papers for IJ ITA as well as the subscription fees are given on www.ithea.org . The camera-ready copy of the paper should be received by http://ij.ithea.org. Responsibility for papers published in IJ ITA belongs to authors. General Sponsor of IJ ITA is the Consortium FOI Bulgaria (www.foibg.com). METHODS FOR AUTOMATED DESIGN AND MAINTENANCE OF USER INTERFACES Valeriya Gribova

Proceedings of the 1st international conference on Intelligent user interfaces - IUI '93, 1993

The paper argues that the future development of intelligent interfaces depends as much upon understanding the scope and purpose of their intelligent behaviour as upon developing the mechanisms that operate them. It reviews the different ways in which an interface can be intelligent, what it can be intelligent about, for what purpose and under whose control. The dimensions of intelligence include functionality of application programs'.