Harnessing the power of the general public for crowdsourced business intelligence: a survey

International audienceCrowdsourced business intelligence (CrowdBI), which leverages the crowdsourced user-generated data to extract useful knowledge about business and create marketing intelligence to excel in the business environment, has become a surging research topic in recent years. Compared with the traditional business intelligence that is based on the firm-owned data and survey data, CrowdBI faces numerous unique issues, such as customer behavior analysis, brand tracking, and product improvement, demand forecasting and trend analysis, competitive intelligence, business popularity analysis and site recommendation, and urban commercial analysis. This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI. It also investigates novel application areas as well as the key challenges and techniques of CrowdBI. Furthermore, we make discussions about the future research directions of CrowdBI

Advances in Human-Robot Interaction

Rapid advances in the field of robotics have made it possible to use robots not just in industrial automation but also in entertainment, rehabilitation, and home service. Since robots will likely affect many aspects of human existence, fundamental questions of human-robot interaction must be formulated and, if at all possible, resolved. Some of these questions are addressed in this collection of papers by leading HRI researchers

Digital Image Access & Retrieval

The 33th Annual Clinic on Library Applications of Data Processing, held at the University of Illinois at Urbana-Champaign in March of 1996, addressed the theme of "Digital Image Access & Retrieval." The papers from this conference cover a wide range of topics concerning digital imaging technology for visual resource collections. Papers covered three general areas: (1) systems, planning, and implementation; (2) automatic and semi-automatic indexing; and (3) preservation with the bulk of the conference focusing on indexing and retrieval.published or submitted for publicatio

Designing multimodal interaction for the visually impaired

Although multimodal computer input is believed to have advantages over unimodal input, little has been done to understand how to design a multimodal input mechanism to facilitate visually impaired users\u27 information access. This research investigates sighted and visually impaired users\u27 multimodal interaction choices when given an interaction grammar that supports speech and touch input modalities. It investigates whether task type, working memory load, or prevalence of errors in a given modality impact a user\u27s choice. Theories in human memory and attention are used to explain the users\u27 speech and touch input coordination. Among the abundant findings from this research, the following are the most important in guiding system design: (1) Multimodal input is likely to be used when it is available. (2) Users select input modalities based on the type of task undertaken. Users prefer touch input for navigation operations, but speech input for non-navigation operations. (3) When errors occur, users prefer to stay in the failing modality, instead of switching to another modality for error correction. (4) Despite the common multimodal usage patterns, there is still a high degree of individual differences in modality choices. Additional findings include: (I) Modality switching becomes more prevalent when lower working memory and attentional resources are required for the performance of other concurrent tasks. (2) Higher error rates increases modality switching but only under duress. (3) Training order affects modality usage. Teaching a modality first versus second increases the use of this modality in users\u27 task performance. In addition to discovering multimodal interaction patterns above, this research contributes to the field of human computer interaction design by: (1) presenting a design of an eyes-free multimodal information browser, (2) presenting a Wizard of Oz method for working with visually impaired users in order to observe their multimodal interaction. The overall contribution of this work is that of one of the early investigations into how speech and touch might be combined into a non-visual multimodal system that can effectively be used for eyes-free tasks

LifeLogging: personal big data

We have recently observed a convergence of technologies to foster the emergence of lifelogging as a mainstream activity. Computer storage has become significantly cheaper, and advancements in sensing technology allows for the efficient sensing of personal activities, locations and the environment. This is best seen in the growing popularity of the quantified self movement, in which life activities are tracked using wearable sensors in the hope of better understanding human performance in a variety of tasks. This review aims to provide a comprehensive summary of lifelogging, to cover its research history, current technologies, and applications. Thus far, most of the lifelogging research has focused predominantly on visual lifelogging in order to capture life details of life activities, hence we maintain this focus in this review. However, we also reflect on the challenges lifelogging poses to an information retrieval scientist. This review is a suitable reference for those seeking a information retrieval scientist’s perspective on lifelogging and the quantified self

Beyond the lens : communicating context through sensing, video, and visualization

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2011.Cataloged from PDF version of thesis.Includes bibliographical references (p. 101-103).Responding to rapid growth in sensor network deployments that outpaces research efforts to understand or relate the new data streams, this thesis presents a collection of interfaces to sensor network data that encourage open-ended browsing while emphasizing saliency of representation. These interfaces interpret, visualize, and communicate context from sensors, through control panels and virtual environments that synthesize multimodal sensor data into interactive visualizations. This work extends previous efforts in cross-reality to incorporate augmented video as well as complex interactive animations, making use of sensor fusion to saliently represent contextual information to users in a variety of application domains, from building information management to real-time risk assessment to personal privacy. Three applications were developed as part of this work and are discussed here: DoppelLab, an immersive, cross-reality browsing environment for sensor network data; Flurry, an installation that composites video from multiple sources throughout a building in real time, to create an interactive and incorporative view of activity; and Tracking Risk with Ubiquitous Smart Sensing (TRUSS), an ongoing research effort aimed at applying real-time sensing, sensor fusion, and interactive visual analytic interfaces to construction site safety and decision support. Another project in active development, called the Disappearing Act, allows users to remove themselves from a set of live video streams using wearable sensor tags. Though these examples may seem disconnected, they share underlying technologies and research developments, as well as a common set of design principles, which are elucidated in this thesis. Building on developments in sensor networks, computer vision, and graphics, this work aims to create interfaces and visualizations that fuse perspectives, broaden contextual understanding, and encourage exploration of real-time sensor network data.by Gershon Dublon.S.M

Human-Computer Interaction

In this book the reader will find a collection of 31 papers presenting different facets of Human Computer Interaction, the result of research projects and experiments as well as new approaches to design user interfaces. The book is organized according to the following main topics in a sequential order: new interaction paradigms, multimodality, usability studies on several interaction mechanisms, human factors, universal design and development methodologies and tools