A knowledge-based user interface for the interactive design of three-dimensional objects

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

The human-computer interaction (HCI) is a research field that supports the user interface development. Furthermore, HCI influences the intelligent user interface (IUI) area. IUI is a user interface that uses intelligent technology to reach the communication between humans and machines. The construction of IUI is not easy and requires the knowledge of different methods, techniques and technologies from many domains (such as, HCI, artificial intelligence, ergonomics, software engineering, etc.). In this way, the existence of a process is an important tool for IUI developers. The literature presents design processes and frameworks for user interface, but most of them do not offer any knowledge regarding the methods, techniques, and technologies that can be used to support the activities involved. Thus, this work proposes a development process for IUIs which offers recommendations about methods, techniques, and technologies. We hope that this process will help analysts and designers who work in IUI area.

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.

Social Media platforms are increasing user engagements with their attractive User Interfaces (UI) design playing a crucial role in maintaining user involvement. Use of Emotional Intelligence (EI) into the UI transforming user interaction and engagement pattern significantly. With an emphasis on how design decisions affect user behaviour, this study explores the nuanced function of EIUIs (Emotionally Inteligence User Interfaces) in the context of social media. It specifically draws attention to the dangers of manipulative techniques like "dark patterns"-purposeful interface strategies intended to influence users to take actions they might not have otherwise taken-as well as the possibility of constructive involvement. By investigating these practices, the paper hopes to clarify the wider ethical consequences of interface design as well as the duty of platforms and designers to promote transparency, autonomy, and confidence in digital interactions. This paper aims to contribute to the discourse on user interface design by providing a comprehensive understanding of EIUIs' potential and pitfalls in the context of social media interactions. Additionally, this study focusses on finding information of the pattern of Emotionally Intelligent User Interfaces (EIUI) design to enhance user engagements emotionally and tend to take decisions and the impact of the design pattern in user experience.

Automated user modeling for 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.

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.

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.

An optical brain-machine interface (O-BMI) system using calcium imaging has various advantages such as high resolution, a comprehensive view of large neural populations, abilities such as long-term stable recording, and applicability to freely behaving animals in neuroscience research. The present study developed an ergonomic user interface (UI) design, based on a use scenario for an O-BMI system that can be used for the acquisition and processing of calcium imaging in freely behaving rodents. The UI design was developed in three steps: (1) identification of design and function requirements of users, (2) establishment of a use scenario, and (3) development of a UI prototype. The UI design requirements were identified by a literature review, a benchmark of existing systems, and a focus group interview with five neuroscience researchers. Then, the use scenario was developed for tasks of data acquisition, feature extraction, and neural decoding for offline and online processing by considering the sequences of operations and needs of users. Lastly, a digital prototype incorporating an information architecture, graphic user interfaces, and simulated functions was fabricated. A usability test was conducted with five neuroscientists (work experience = 3.4 ± 1.1 years) and five ergonomic experts (work experience = 3.6 ± 2.7 years) to compare the digital prototypes with four existing systems (Miniscope, nVista, Mosaic, and Suite2p). The usability testing results showed that the ergonomic UI design was significantly preferred to the UI designs of the existing systems by reducing the task completion time by 10.1% to 70.2% on average, the scan path length by 14.4% to 88.7%, and perceived workload by 12.2% to 37.9%, increasing satisfaction by 11.3% to 74.3% in data acquisition and signal-extraction tasks. The present study demonstrates the significance of the user-centered design approach in the development of a system for neuroscience research. Further research is needed to validate the usability test results of the UI prototype as a corresponding real system is implemented.

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.

In this article, we present an intelligent human-machine interface designed to control the medical robotic exoskeleton of the lower limbs “Remotion”. Intelligent bimodal interface combines tools of contactless voice control, as well as contact sensor-based control on mobile devices. The authors argue that the use of intelligent techniques of interaction between the user and the exoskeleton increases the level of ergonomics as well as effectiveness of its use in medical rehabilitation practice due to an intuitive and natural way of human-machine communication and control. The salient features of the proposed and developed system are automatic voice command recognition, conversion audio signal into text data, remote control and remote supervision of the exoskeleton through a PC, and active and informative feedback with the user, securing safety during rehabilitation sessions. The design of the interface is shown in the paper in details, outlines of engineering solutions applied for this exoskeleton are provided as well. Despite the existence of conceptually similar devices in Russia, the presented exoskeleton differs by the presence of an intelligent user interface, which significantly improves the ergonomics of the system. Another feature is a total modularity of the device. Such a solution greatly facilitates the maintenance of the exoskeleton and provides a range of adjustment opportunities.

An alternative solution for Indosport, considering the increasingly advanced smartphone development and also followed by the rapid growth of its users in Indonesia. The purpose of this study project is to produce a product in the form of a user interface (UI) and user experience (UX) design in helping to realize targeted mobile applications and not forgetting to apply the principles of visual communication design namely unity and variety, hierarchy, contrast, proportion and balance. The UI and UX design methods go through several stages of work in sequence: pre-production process, production process, and post-production. This design results in UI and UX designs that are equipped with user flow, interface designs, illustrations and prototypes. The main page of the Indosport mobile application is News, Activity, Calendar, and Profile which later on these pages there are several features that are different from the previous page. The making of this UI uses several visual languages such as medium close up, full shot, long shot, close up and medium long shot in the image section contained in the article as well as the depiction of field styles used to almost all visual UI elements. Using several principles in design, namely time to learn, speed of performance, rate of errors by users, retention over time, and subjective satisfaction. The resulting design forms will be distributed directly to the Research and Development division and the IT division from Indosport to be made a native.

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.

Recently, science, technology, engineering, and mathematics (STEM) education has become increasingly important, and one of the challenges in digitizing mathematics teaching materials is the input of formulae.To address this issue, we proposed an intelligent formula input user interface (UI) employing predictive conversion from ambiguous text in 2015.In mathematics education that uses an e-learning environment, UI unification is important for inputting mathematical formulae.In this study, we adopted the mathematics e-learning system Moodle+STACK to unify the UI for inputting the mathematical formulae.The effectiveness of this method in mathematics education was verified in a mathematics class for students at our university and student reactions were investigated.