Development process for intelligent user interfaces

An intelligent pilot vehicle interface for a day/night adverse weather pilotage system (D/NAPS)

It is our great pleasure to welcome you to the 2012 ACM International Conference on Intelligent User Interfaces -- IUI'12 and to Lisboa, Portugal. Starting in 1993, IUI is now on its 17th edition and has established itself has the premier venue for reporting outstanding research and development on intelligent user interface. The IUI series continues to be the principal forum for the meeting of the Human-Computer Interaction (HCI) and the Artificial Intelligence (AI) communities. This gives rise to unique, creative, interdisciplinary contributions. This year's meeting showcases those topics, with works covering innovations in mobile interfaces, collaboration technology, affective interfaces, multimodal interfaces, pen interfaces, haptic and gesture interfaces, multi-touch interfaces, speech interfaces, gaze-based interfaces, tabletop interfaces, health applications, entertainment applications, adaptive narratives and theater, sports and in-vehicle applications, geographic applications, social media interfaces, educational interfaces, sketch recognition, human-robot interfaces, personalization and assistive technologies, end-user programming, ubiquitous and smart environments, locationaware interfaces, recommender interfaces, persuasive interfaces, web-based interfaces and agentbased interfaces. Building on previous years' success, the IUI 2012 call for papers attracted 134 full paper submissions and 78 short paper submissions. To ensure the highest possible quality we assembled a team of 48 senior program committee members and 367 reviewers. This guaranteed that every submission had at least three reviews plus one meta-review. This was followed by a rebuttal phase, keeping the procedure started two years ago. We believe that this process has guaranteed the highest quality possible for this year technical program and we would like to thank all the senior program committee members and reviewers for their hard work in making sure the most relevant works were selected. Through this very thorough review process we were able to accept 18 full papers, 15 short papers and 16 poster presentations, meaning an acceptance rate of 13% for full papers, 16% for oral presentations and 23% for combined oral and poster presentations. In addition to the full and short papers presentations and poster presentations, IUI will also feature a Demonstrations session for which 18 submissions were accepted from a total of 26 submissions. This year, the IUI programme includes three notable invited speakers sharing their innovative work and experiences with the conference participants: Alex 'Sandy' Pentland from the MIT Human Dynamic Lab, Christopher Bishop from Microsoft Research and Takeo Igarashi from the University of Tokyo. In order to foster the growth of the community, IUI 2012 will feature for the first time in the IUI series a Doctoral Consortium. Its success can be measured by the 12 high quality submissions received. Doctoral Consortium students will also be able to exhibit their work to the main conference audience in the poster session, thus promoting their insertion into the IUI community. We would also like to thank the conference sponsors and supporters that made it possible to provide financial support for Doctoral Consortium attendees and other students participating in the conference. Nine full-day workshops will take place at IUI 2012 covering diverse trending topics in the IUI area: Activity Context Representation: Techniques and Languages; Developing Intelligent User Interfaces for e-Accessibility and e-Inclusion; Context-awareness in Retrieval and Recommendation (CaRR 2012); 3rd Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS); Scent and Scensibility; User Modeling from Social Media; 2nd Workshop on Interacting with Smart Objects; 2nd Workshop on Location Awareness for Mixed and Dual Reality (LaMDa'12); 1st International Workshop on Ubiquitous Personalization (UP'2012). IUI 2012 continues and extends the cooperation with the ACM Transactions on Interactive Intelligent Systems (TiiS). Besides the streamlined processing of journal submissions based on IUI 2012 papers, IUI 2012 will feature a special session where authors of recently accepted articles for the ACM TiiS will spotlight key contributions of their work. It is our conviction that it will benefit greatly every member of the IUI community. We would like to thank Anthony Jameson and John Riedl, the Editors in Chief of TiiS, for their cooperation.

A critical problem with existing computer-based geometric modeling is the labor intensive task involved in specifying data input for the description of three-dimensional (3-D) objects. This paper describes a new, 3-D input system aimed at alleviating this problem. It is based on the use of a three-dimensional digitizer for the direct input of spatial coordinates, and an intelligent interactive user interface. The intent of this system is to create a high level, intelligent interface between the designer and a geometric solid modeler which would lighten the designer's burden in performing arduous 3-D geometric description tasks. The user interface is developed around the Knowledge Craft expert system building tool, using the rule-based Carnegie Representation Language OPS5 (CRL-OPS). The system uses schematic networks or frames and production rules to encode knowledge about geometric primitive digitization methods, object feature operators, solid modeler requirements, and input command functions. It also employs a forward-chaining inference strategy to direct the knowledge. This ensures that only a minimal amount of valid data entry is required by the user. However, if excessive data is entered the intelligent interface has the capability to extract the required information. As a result, the solid modeler can automatically create the appropriate object “primitive” or the specific object “feature” upon recognition by the expert system. It will be demonstrated that these capabilities can simplify the 3-D model description process.

Welcome to CHI 99 and to the SIGCHI community! The CHI conference provides a forum for people to meet, both formally and informally, to share experiences, and to learn. We trust that you will find here the intellectually exciting and personally rewarding forum that brings many people back to this conference year after yearyThe CHI conference is sponsored by ACM's Special Interest Group on Computer-Human Interaction (SIGCHI). SIGCHI is comprised of an international group of researcher, practitioners, educators, students, and others who share an interest in one or more of the many facets of human-computer interaction. SIGCHI is committed to the parallel activities of advancing the field of human-computerinteractiona and exchanging information within the SIGCHI community. This conference also provides an opportunity for you to learn more about SIGCHI activities and to explore taking an active role in those activites. You can do this by stopping by the SIGCHI booth, attending the SIGCHI Business Meeting, or talking with any of the Executive Committee members.While the CHI conference is the largest and most visible activity of SIGCHI, we also support conferences on computer-supported collaborative work (CSCW), virtual reality software and technology (VRST), user interface software and technology (UIST), design of interactive systems (DIS) and intelligent user interfaces (IUI) and creativity & cognition (C&C).SIGCHI also distributes the quartely SIGCHI Bulletin to memebers, as well as other who are interested in human-computer interaction. In addition, SIGCHI supports the Transactions on Computer-Human Interaction (TOCHI), and Interactions, a magazine focused on practitioners.The SIGCHI Development Fund supports activites that are proposed by SIGCHI members. If you have ideas for advancing our field and communicating those advances to SIGCHI members we encourage you to review the Call for Proposals, which appears on the SIGCHI web site and frequently in the SIGCHI Bulletin.

This study explores the creation of emotion- responsive user interfaces (UIs) that adapt to users' mental states in stressful settings in real time. Utilizing human- computer interaction (HCI) principles and artificial intelligence, it introduces an innovative framework for UIs that adjusts based on fatigue, concentration, and emotional cues. The method incorporates sophisticated facial recognition, eye tracking, and physiological sensors to continuously evaluate users' cognitive and emotional conditions. The adaptive UI system uses machine learning algorithms to optimize cognitive load and improve remote interactions in various high-pressure situations. Through a series of experiments and user studies, notable enhancements in task performance, user satisfaction, and overall cognitive efficiency have been demonstrated. The results underscore the potential of emotion-responsive UIs to transform human-computer interaction, particularly in areas such as healthcare, emergency response, and mission-critical operations. Keywords — HCI, Emotion-Adaptive UI, Cognitive Efficiency, Real-Time Adaptation, Fatigue, Focus, Emotional Expression, Artificial Intelligence, Machine Learning, User Interface, High- Stress Environments, Remote Interaction.

Human-computer interaction for virtual-real fusion

Automated user modeling for intelligent interface

The continuous evolution of technology has significantly transformed the way humans interact with computers, moving beyond traditional keyboard and mouse inputs toward more natural and adaptive interfaces. This literature review examines the current and emerging trends in user interface (UI) development within the context of Human-Computer Interaction (HCI), with a specific focus on future-oriented innovations. Key areas of discussion include voice-user interfaces (VUIs), gesture-based interaction systems, adaptive and context-aware UIs, artificial intelligence (AI) integration, and neuroadaptive technologies. The study employs a qualitative analysis method, drawing upon scholarly publications from 2020 to 2025 and emphasizing the contributions of researchers from Universitas Islam Negeri Sumatera Utara, particularly M. Khalil Gibran. These technologies are assessed for their usability, accessibility, efficiency, and their ability to enhance user satisfaction through personalization and contextual awareness. Results from reviewed studies suggest that adaptive and AI-driven UIs are becoming essential in delivering personalized user experiences

Extensive decision support system composed of several modules providing different functionalities for the user can be a challenge in designing of a usable, plain and consistent user interface. A characteristic of advisory systems in the domain of metallurgy is their complex architecture designed to deal with multiple types of tasks in many areas. The objective of this paper is to present the possibility of creating an intelligent interface providing the user with complete freedom to act without precise knowledge of the multiple functionality of the system. The paper presents the architecture of developed advisory system in the domain of metallurgy enriched with the description of mechanisms, which enable obtaining an intelligent user interface. The intelligent user interface should guide the user at navigation through all system modules in order to meet all needs that are the reason for this system usage. In designing of such interface, the Case-Based Reasoning methodology is proposed to be used. Case-Based Reasoning ensures a pattern for building systems that are able to learn on the basis of human actions associated with human decisions and use such knowledge to resolve the currently appearing problems. Each user query directed to the system, and each of his decisions about the choice of functionalities of the system modules supplies the system with the crucial information on proper use of the whole decision support unit related with the needs of a user. Skillful use of this knowledge can provide convenient and efficient performance of intelligent interface.

: Generic expert systems are reasoning systems that can be used in many application domains, thus requiring application domain independence. The user interface for a generic expert system must contain an intelligence in order to maintain this domain independence and manage the complex interactions between the user and generic expert system. This paper explores the uncertainty-based reasoning contained in an intelligent user interface called GESIA. GESIA's interface architecture and dynamically constructed Bayesian network are examined in detail to show how uncertainty-based reasoning enhances the capabilities of this generic expert system user interface.

The idea of cloud manufacturing is gradually transforming the way enterprises do business in this age of globalization. The development of cloud manufacturing is closely linked to domain specific users in manufacturing industry. The huge amount of users with diverse roles and various requirements in manufacturing industry will face great challenges of cloud system usability problems. Thus user interface issues play important roles in this new area. Current research on cloud manufacturing pays more attention to internal cloud while makes light of external end-users’ usability, i.e. user interface issues. In this paper we discuss the key characteristics of Intelligent User Interface (IUI) for cloud manufacturing, i.e., naturality, smart mobility, self-configuration, and flexible customization. Further, a cloud-plus-IUI model for cloud end-users is presented. Then we discuss the enabling technologies, i.e., automatic configuration based on virtualization, context-aware adaption and recommendation, and multimodal interaction.

Generic expert systems are reasoning systems that can be used in many application domains, thus requiring domain independence. The user interface for a generic expert system must contain intelligence in order to maintain this domain independence and manage the complex interactions between the user and the expert system. This paper explores the uncertainty-based reasoning contained in an intelligent user interface called GESIA. GESIA's interface architecture and dynamically constructed Bayesian network are examined in detail to show how uncertainty-based reasoning enhances the capabilities of this user interface.

In this chapter, the practical issue of realizing a necessary intelligence quotient for conceiving intelligent user interfaces (IUIs) on mobile devices is considered. Mobile computing scenarios differ radically from the normal fixed workstation environment that most people are familiar with. It is in this dynamicity and complexity that the key motivations for realizing IUIs on mobile devices may be found. Thus, the chapter initially motivates the need for the deployment of IUIs in mobile contexts by reflecting on the archetypical elements that comprise the average mobile user’s situation or context. A number of broad issues pertaining to the deployment of AI techniques on mobile devices are considered before a practical realisation of this objective through the intelligent agent paradigm is presented. It is the authors hope that a mature understanding of the mobile computing usage scenario, augmented with key insights into the practical deployment of AI in mobile scenarios, will aid software engineers and HCI professionals alike in the successful utilisation of intelligent techniques for a new generation of mobile services.

In this chapter, the practical issue of realizing a necessary intelligence quotient for conceiving intelligent user interfaces (IUIs) on mobile devices is considered. Mobile computing scenarios differ radically from the normal fixed workstation environment that most people are familiar with. It is in this dynamicity and complexity that the key motivations for realizing IUIs on mobile devices may be found. Thus, the chapter initially motivates the need for the deployment of IUIs in mobile contexts by reflecting on the archetypical elements that comprise the average mobile user’s situation or context. A number of broad issues pertaining to the deployment of AI techniques on mobile devices are considered before a practical realisation of this objective through the intelligent agent paradigm is presented. It is the authors hope that a mature understanding of the mobile computing usage scenario, augmented with key insights into the practical deployment of AI in mobile scenarios, will aid software engineers and HCI professionals alike in the successful utilisation of intelligent techniques for a new generation of mobile services.

Cloud manufacturing is gradually transforming the way enterprises do business from traditional production-oriented manufacturing to service-oriented manufacturing. The development of cloud manufacturing in industry practice is closely related to domain-specific user experience. The huge amount of users with diverse roles and various requirements in manufacturing industry are facing great challenges of cloud system usability problems. Thus, user interface issues play a significant role in pushing this new area forward. In this paper, we discuss the key characteristics of intelligent user interface (IUI) for cloud manufacturing, i.e., naturality, smart mobility, self-configuration, and flexible customization. Further, a cloud-plus-IUI model for cloud end-users is presented. Then we discuss the enabling technologies, i.e., automatic configuration based on virtualization, context-aware adaption and recommendation, and multimodal interaction. Finally, we present SketchPart, a sketch-based pad system prototype for searching part drawings in the cloud, to show the advantages of the proposed cloud-plus-IUI solution.