Ambient Communication Experience (ACE), Information Interaction in Design Space

2011 ◽  
pp. 139-146
Author(s):  
Rosaleen Hegarty ◽  
Tom Lunney ◽  
Kevin Curran ◽  
Maurice Mulvenna
Keyword(s):  
Information Systems ◽  
Design Space ◽  
Contextual Information ◽  
Physical World ◽  
Sensor Data ◽  
Data Discovery ◽  
Information Interaction ◽  
Virtual Services ◽  
Computing Landscape

A changing computing landscape is expected to sense the physical world yet remain concealed within its very infrastructure to provide virtual services which are discreetly networked, omnipresent yet non-intrusive. Ambient Information Systems (AIS), permit a mode of expression that can easily exist at the level of subconscious realisation. This research focuses on the development of an Ambient Communication Experience (ACE) system. ACE is a synchronisation framework to provide co-ordinated connectivity across various environmentally distributed devices via sensor data discovery. The intention is to facilitate location-independent and application-responsive screening for the user, leading to the concept of technologically integrated spaces. The aim is to deliver contextual information without the need for direct user manipulation, and engagement at the level of peripheral perception.

The Central Role of Cognitive Computations in Human-Information Interaction

2018 ◽  
Author(s):  
Wai-Tat Fu ◽  
Jessie Chin ◽  
Q. Vera Liao
Keyword(s):  
Information Systems ◽  
Cognitive Science ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Levels Of Abstraction ◽  
Intelligent Information Systems ◽  
Emergent Behaviour ◽  
Information Interaction ◽  
Intelligent Information

Cognitive science is a science of intelligent systems. This chapter proposes that cognitive science can provide useful perspectives for research on technology-mediated human-information interaction (HII) when HII is cast as emergent behaviour of a coupled intelligent system. It starts with a review of a few foundational concepts related to cognitive computations and how they can be applied to understand the nature of HII. It discusses several important properties of a coupled cognitive system and their implication to designs of information systems. Finally, it covers how levels of abstraction have been useful for cognitive science, and how these levels can inform design of intelligent information systems that are more compatible with human cognitive computations.

A service-oriented context-awareness reasoning framework and its implementation

2018 ◽  
Vol 36 (6) ◽  
pp. 1114-1134 ◽  
Author(s):  
Xiufeng Cheng ◽  
Jinqing Yang ◽  
Lixin Xia
Keyword(s):  
Context Awareness ◽  
Service Providers ◽  
User Behavior ◽  
Contextual Information ◽  
Sensor Data ◽  
Context Information ◽  
Content Type ◽  
Low Level ◽  
Service Oriented ◽  
High Level

PurposeThis paper aims to propose an extensible, service-oriented framework for context-aware data acquisition, description, interpretation and reasoning, which facilitates the development of mobile applications that provide a context-awareness service.Design/methodology/approachFirst, the authors propose the context data reasoning framework (CDRFM) for generating service-oriented contextual information. Then they used this framework to composite mobile sensor data into low-level contextual information. Finally, the authors exploited some high-level contextual information that can be inferred from the formatted low-level contextual information using particular inference rules.FindingsThe authors take “user behavior patterns” as an exemplary context information generation schema in their experimental study. The results reveal that the optimization of service can be guided by the implicit, high-level context information inside user behavior logs. They also prove the validity of the authors’ framework.Research limitations/implicationsFurther research will add more variety of sensor data. Furthermore, to validate the effectiveness of our framework, more reasoning rules need to be performed. Therefore, the authors may implement more algorithms in the framework to acquire more comprehensive context information.Practical implicationsCDRFM expands the context-awareness framework of previous research and unifies the procedures of acquiring, describing, modeling, reasoning and discovering implicit context information for mobile service providers.Social implicationsSupport the service-oriented context-awareness function in application design and related development in commercial mobile software industry.Originality/valueExtant researches on context awareness rarely considered the generation contextual information for service providers. The CDRFM can be used to generate valuable contextual information by implementing more reasoning rules.

Sensing Home: Designing an Open Tool That Lets People Collect and Interpret Simple Sensor Data from Their Homes

i-com ◽  
2018 ◽  
Vol 17 (2) ◽  
pp. 153-167
Author(s):  
Arne Berger ◽  
Albrecht Kurze ◽  
Sören Totzauer ◽  
Michael Storz ◽  
Kevin Lefeuvre ◽  
...  
Keyword(s):  
Design Space ◽  
Group Discussion ◽  
Design Tool ◽  
Sensor Data ◽  
Sensor Technology ◽  
The Internet ◽  
Smart Sensor ◽  
Design Rationale ◽  
Domestic Products ◽  
The Internet Of Things

AbstractThe Internet of Things in the home is a design space with huge potential. With sensors getting smaller and cheaper, smart sensor equipped objects will become an integral, preinstalled part of the future home. With this article we will reflect on Sensing Home, a design tool to explore sensors in the home together with people. Sensing Home allows people to integrate sensors and connectivity into mundane domestic products in order to make them smart. As such, it can be used by people to experience and explore sensors in the home and daily life. They may explore possible use cases, appropriate sensor technology, and learn about this technology through use. At the same time people may also be empowered to understand the issues and implications of sensors in the home. We present the design rationale of Sensing Home, five usage examples of how Sensing Home allowed people to explore sensor technology, and the deployment of Sensing Home together with a self-developed group discussion method to empower people to understand the benefits and pitfalls of sensors in their home. The article ends with a brief reflection whether Sensing Home is a probe or a toolkit.

Robotic transportation

1990 ◽  
Vol 36 (9) ◽  
pp. 1544-1550 ◽  
Author(s):  
W S Lob
Keyword(s):  
Information Systems ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Test Equipment ◽  
Sensor Data ◽  
Intelligent Sensor ◽  
Hospital Environments ◽  
Extensive Facility ◽  
New Applications ◽  
User Friendly

Abstract Mobile robots perform fetch-and-carry tasks autonomously. An intelligent, sensor-equipped mobile robot does not require dedicated pathways or extensive facility modification. In the hospital, mobile robots can be used to carry specimens, pharmaceuticals, meals, etc. between supply centers, patient areas, and laboratories. The HelpMate (Transitions Research Corp.) mobile robot was developed specifically for hospital environments. To reach a desired destination, Help-Mate navigates with an on-board computer that continuously polls a suite of sensors, matches the sensor data against a pre-programmed map of the environment, and issues drive commands and path corrections. A sender operates the robot with a user-friendly menu that prompts for payload insertion and desired destination(s). Upon arrival at its selected destination, the robot prompts the recipient for a security code or physical key and awaits acknowledgement of payload removal. In the future, the integration of HelpMate with robot manipulators, test equipment, and central institutional information systems will open new applications in more localized areas and should help overcome difficulties in filling transport staff positions.

scholarly journals A Novel Approach of IoT Services Orchestration Based on Multiple Sensor and Actuator Platforms Using Virtual Objects in Online IoT App-Store

2019 ◽  
Vol 11 (20) ◽  
pp. 5859 ◽  
Author(s):  
Sehrish Malik ◽  
Shabir Ahmad ◽  
DoHyeun Kim
Keyword(s):  
Response Times ◽  
Physical World ◽  
Revolutionary Era ◽  
Virtual Objects ◽  
App Store ◽  
Novel Approach ◽  
Multiple Sensor ◽  
Do It Yourself ◽  
Services Orchestration ◽  
Virtual Services

The information and communication technology (ICT) is witnessing a revolutionary era with the advancements in the Internet of Things (IoT). An IoT network is a combination of sensor and actuator networks, connected and communicating in certain ways to design and provide IoT services to the end users. These IoT services are created by mapping physical-world objects into virtual-world objects. In this work, we propose a novel approach of IoT services orchestration based on multiple sensor and actuator platforms using virtual objects in online IoT application-store (app-store). In this work, we focused on combining the concepts of do-it-yourself (DIY) IoT marketplace, virtual objects (VOs), and virtual services. We built a fusion IoT services platform on a previously proposed IoT application store. The IoT application store enables the sharing and discovery of IoT VOs, along with micro-services associated with each VO uploaded into the application store. The fusion IoT services platform enables the user to fetch the desired or all VOs from the IoT app store and map the available VOs to form the fusion IoT services. The user can either select all the available VOs and see all the possible services’ combinations or select the desired (DIY) services and customize the virtual services scope. The performance of the proposed fusion IoT services platform was evaluated on the basis of the service connection times, service response times with varying load of VOs, virtual users, and active platforms. The proposed idea also offers a sustainable solution by proposing the reuse of existing resources and reducing duplicate deployments, which can lessen the total cost of the physical networks’ deployment and maintenance. To the best of our knowledge, the proposed work is the first of its kind.

scholarly journals The Acquisition of Context Data of Study Process and their Application in Classroom and Intelligent Tutoring Systems

2015 ◽  
Vol 18 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Janis Bicans
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Contextual Information ◽  
Sensor Data ◽  
Tutoring Systems ◽  
Handheld Device ◽  
Other Information ◽  
E Learning ◽  
Educational Paradigm ◽  
Study Process

Abstract Over the last decade, researchers are investigating the potential of the educational paradigm shift from the traditional “one-size-fits all” teaching approach to an adaptive and more personalized study process. Availability of fast mobile connections along with the portative handheld device evolution, like phones and tablets, enable teachers and learners to communicate and interact with each other in a completely different way and speed. The mentioned devices not only deliver tutoring material to the learner, but might also serve as sensors to provide data about the learning process itself, e.g., learning conditions, location, detailed information on learning of tutoring material and other information. This sensor data put into the context of the study process can be widely used to improve student experience in the classroom and e-learning by providing more precise and detailed information to the teacher and/or an intelligent tutoring system for the selection of an appropriate tutoring strategy. This paper analyses and discusses acquisition, processing, and application scenarios of contextual information.

scholarly journals THE ROLE OF CUSTOMER-ORIENTED TECHNOLOGIES IN THE COMPETITIVENESS MANAGEMENT OF TOURIST ENTERPRISES

2021 ◽  
Author(s):  
Anjelica Balabanits ◽  
Fedir Perepadya
Keyword(s):  
Information Systems ◽  
Customer Service ◽  
Management System ◽  
Information Technologies ◽  
Customer Relationship ◽  
Logical Scheme ◽  
Crm System ◽  
Information Interaction ◽  
Tourism Enterprises ◽  
Complex Influence

The paper reveals the need and advantages of introducing customer relationship management information systems (CRM-systems) as a modern tool for marketing customer-oriented technologies for managing tourism enterprises. The problems of introduction of CRM tools in the activity of tourist enterprises from the point of view of managers and staff are characterized and the advantages of CRM-system and its complex influence on the efficiency of the tourist enterprise are determined; proposed structural and logical scheme of practical application of CRM-system, focused on adaptation and integration and provides effective information interaction and coordination of tourism entities, established criteria for effective implementation of CRM-information systems based on key results and performance of tourism enterprises. The introduction of modern customer-oriented systems in the activities of tourism enterprises is a complex deterministic process. The key shaping factors of the implementation effectiveness of CRM-systems are as follows: technological readiness, information security, staff competence and effective information technologies that are implemented. One of the main tasks of interaction management is the development of information technology architecture, focused on adaptation and integration, which provides effective information interaction and coordination of the subjects of marketing interaction. The complex influence on the CRM-system of the tourist enterprise is carried out due to to several components of the internal environment: - a set of technological solutions that determines the nature of managerial influence, the choice of specific technologies of customer service, the pace of innovative development of CRM-system; - Information-analytical base, which is formed during the use of CRM technologies and provides the necessary data analytical elements of the enterprise management system; - analytical process, which is provided by appropriate methods of analysis, which are used on the basis of the competencies of the personnel of the enterprise. It is necessary to allocate the basic indicators of efficiency of CRM-system: constancy of addresses and repeated sales; cross-selling (purchase of additional goods and services); sales performance (percentage of successful sales); profitability of transactions; number of sales; number of withdrawals from agreements; revenue; time of each stage of the agreement; percentage of customer retention; costs associated with sales and marketing campaigns; efficiency of interaction with clients; NPS (consumer / brand commitment index). Under the conditions of synergetic combination of these components there is a managerial enrichment of information and marketing activities of the enterprise. Which in turn is reflected in the growth of quality and targeting of services, the overall intensity and quality of customer service, increasing the productivity of human resources and most importantly - the growth of the overall level of competitiveness of the tourism enterprise. This aspect is an important argument that emphasizes the needs for further CRM-technologies integration into the management system of tourism enterprises.

scholarly journals The Design Space of Ubiquitous Mobile Input

2008 ◽  
pp. 386-407 ◽  
Author(s):  
Rafael Ballagas ◽  
Michael Rohs ◽  
Jennifer G. Sheridan ◽  
Jan Borchers
Keyword(s):  
Mobile Phone ◽  
Real World ◽  
Design Space ◽  
Smart Phone ◽  
Physical World ◽  
Interaction Techniques ◽  
Design Considerations ◽  
Movement Interaction ◽  
Real World Applications ◽  
Input Techniques

The mobile phone is the first truly pervasive computer. In addition to its core communications functionality, it is increasingly used for interaction with the physical world. This chapter examines the design space of input techniques using established desktop taxonomies and design spaces to provide an indepth discussion of existing interaction techniques. A new five-part spatial classification is proposed for ubiquitous mobile phone interaction tasks discussed in our survey. It includes supported subtasks (position, orient, and selection), dimensionality, relative vs. absolute movement, interaction style (direct vs. indirect), and feedback from the environment (continuous vs. discrete). Key design considerations are identified for deploying these interaction techniques in real-world applications. Our analysis aims to inspire and inform the design of future smart phone interaction techniques.

Gaussian Distribution-Based Machine Learning Scheme for Anomaly Detection in Healthcare Sensor Cloud

2021 ◽  
Vol 11 (1) ◽  
pp. 52-72
Author(s):  
Rajendra Kumar Dwivedi ◽  
Rakesh Kumar ◽  
Rajkumar Buyya
Keyword(s):  
Machine Learning ◽  
Information Systems ◽  
Anomaly Detection ◽  
Gaussian Distribution ◽  
Supervised Machine Learning ◽  
Sensor Data ◽  
Support Vector ◽  
Learning Scheme ◽  
Healthcare Monitoring ◽  
Sensor Cloud

Smart information systems are based on sensors that generate a huge amount of data. This data can be stored in cloud for further processing and efficient utilization. Anomalous data might be present within the sensor data due to various reasons (e.g., malicious activities by intruders, low quality sensors, and node deployment in harsh environments). Anomaly detection is crucial in some applications such as healthcare monitoring systems, forest fire information systems, and other internet of things (IoT) systems. This paper proposes a Gaussian distribution-based supervised machine learning scheme of anomaly detection (GDA) for healthcare monitoring sensor cloud, which is an integration of various body sensors of different patients and cloud. This work is implemented in Python. Use of Gaussian statistical model in the proposed scheme improves precision, throughput, and efficiency. GDA provides 98% efficiency with 3% and 4% improvements as compared to the other supervised learning-based anomaly detection schemes (e.g., support vector machine [SVM] and self-organizing map [SOM], respectively).

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