Digital Umwelt

2013 ◽  
Vol 4 (1) ◽  
pp. 38-46 ◽  
Author(s):  
Pio Alfredo Di Tore ◽  
Nadia Carlomagno ◽  
Stefano Di Tore ◽  
Maurizio Sibilio
Keyword(s):  
Human Computer Interaction ◽  
Human Interaction ◽  
Whole Body ◽  
Reference Systems ◽  
Natural Interfaces ◽  
Spatial Reference ◽  
Machine Interaction ◽  
Computer Interaction

The spread of Natural Interfaces, based on devices which allow the retrieval to the Human Computer Interaction of natural paradigms of human interaction (sound, voice, touch, movement), limiting graphic interfaces: the interaction doesn’t occur “through the mirror” (Carroll, 2012) of the screen, but it takes place through movement, in the natural space of the user, in relation to an augmented (digital) umwelt that inter-acts continuously with the user’s whole body. The aim of this work is to present natural interfaces as the tool that constitutes the effective place of convergence between body and movement, manipulation of spatial reference systems and man-machine interaction, and inquire the possible didactic declinations.

Web Usability

2005 ◽  
pp. 3074-3078
Author(s):  
Shirley Ann Becker
Keyword(s):  
User Interface ◽  
Human Computer Interaction ◽  
Interest Group ◽  
Personal Computer ◽  
User Interfaces ◽  
User Satisfaction ◽  
Ease Of Use ◽  
Human Interaction ◽  
Computing Machinery ◽  
Computer Interaction

The study of computing technology and user interfaces was initiated during the 1970s when industrial research laboratories began to focus on human-computer interaction (HCI) (Badre, 2002). In the 1980s, the personal computer was introduced, thus expanding the need for designing effective user interfaces. HCI became a discipline during this time, and the Association for Computing Machinery (ACM) established the Special Interest Group in Computer Human Interaction. One of the first textbooks on HCI, Designing the User Interface: Strategies for Effective Human-Computer Interaction (Schneiderman, 19891), was published. Shortly thereafter, HCI became part of the ACM curriculum promoting the development of effective user interfaces. Software tools were developed in order to assist in designing usable interfaces while employing usability engineering methods. Many of these methods focused on usability from the perspective of ease of use, ease of learning, user satisfaction, and zero defects (Nielsen, 1993).

Collaborative Business and Information Systems Design

2009 ◽  
Vol 5 (4) ◽  
pp. 1-15 ◽  
Author(s):  
Peter Rittgen
Keyword(s):  
Information Systems ◽  
Human Computer Interaction ◽  
Systems Design ◽  
Human Interaction ◽  
Information Systems Design ◽  
Research Areas ◽  
Technical Systems ◽  
Computer Interaction

Collaborative business and information systems design touches a number of issues that lie within the realm of different research areas. It deals with design as such, and in particular with design in and for groups. It is also concerned with socio-technical systems and hence with human-computer interaction as well as IT-mediated human-human interaction. This introduces collaboration issues. The significant complexity of the business and information systems that are in the focus of the design endeavor calls for modeling as an instrument for managing this complexity. This article maps the terrain of collaborative business and information systems design by surveying the contributions that are made by related areas of research.

Collaborative Design of Business and Information Systems

2011 ◽  
pp. 255-270
Author(s):  
Peter Rittgen
Keyword(s):  
Information Systems ◽  
Human Computer Interaction ◽  
Collaborative Design ◽  
Human Interaction ◽  
Research Areas ◽  
Technical Systems ◽  
Computer Interaction

The collaborative design of business and information systems touches a number of issues that lie within the realm of different research areas. It deals with design as such and in particular with design in and for groups. It is also concerned with socio-technical systems and hence with human-computer interaction as well as IT-mediated human-human interaction. This introduces collaboration issues. The significant complexity of the business and information systems that are in the focus of the design endeavor calls for modeling as an instrument for managing this complexity. This paper maps the terrain of collaborative design of business and information systems by surveying the contributions that are made by related areas of research.

Usability

2011 ◽  
pp. 1008-1013
Author(s):  
Shawren Singh
Keyword(s):  
Human Computer Interaction ◽  
Computer Systems ◽  
Human Interaction ◽  
Software System ◽  
Technical Performance ◽  
Hardware And Software System ◽  
Computer Interaction

In this article we will examine some important issues related to human-computer interaction (HCI). This will be followed by a discussion of usability and its underlying principles and properties. The dependability of computer systems is intrinsically multi-faceted. Dependable hardware is patently of limited value unless accompanied by dependable software. Neither helps greatly if human interaction with the hardware and software system is fault-prone and the dependable socio-technical performance of an inappropriate task may cause wider damage (MacKenzie, 2000).

Collaborative Business and Information Systems Design

2010 ◽  
pp. 1397-1411 ◽  
Author(s):  
Peter Rittgen
Keyword(s):  
Information Systems ◽  
Human Computer Interaction ◽  
Systems Design ◽  
Human Interaction ◽  
Information Systems Design ◽  
Research Areas ◽  
Technical Systems ◽  
Computer Interaction

Collaborative business and information systems design touches a number of issues that lie within the realm of different research areas. It deals with design as such, and in particular with design in and for groups. It is also concerned with socio-technical systems and hence with human-computer interaction as well as IT-mediated human-human interaction. This introduces collaboration issues. The significant complexity of the business and information systems that are in the focus of the design endeavor calls for modeling as an instrument for managing this complexity. This article maps the terrain of collaborative business and information systems design by surveying the contributions that are made by related areas of research.

HAND GESTURE RECOGNITION TOWARDS VOCABULARY AND APPLICATION INDEPENDENCY

2013 ◽  
Vol 13 (02) ◽  
pp. 1340001
Author(s):  
SIDDHARTH SWARUP RAUTARAY ◽  
ANUPAM AGRAWAL
Keyword(s):  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Recognition Rate ◽  
Recognition System ◽  
Hand Gesture Recognition ◽  
Human Interaction ◽  
Hand Gesture ◽  
Gesture Control ◽  
Major Interest ◽  
Computer Interaction

Traditional human–computer interaction devices such as the keyboard and mouse become ineffective for an effective interaction with the virtual environment applications because the 3D applications need a new interaction device. An efficient human interaction with the modern virtual environments requires more natural devices. Among them the "Hand Gesture" human–computer interaction modality has recently become of major interest. The main objective of gesture recognition research is to build a system which can recognize human gestures and utilize them to control an application. One of the drawbacks of present gesture recognition systems is being application-dependent which makes it difficult to transfer one gesture control interface into multiple applications. This paper focuses on designing a hand gesture recognition system which is vocabulary independent as well as adaptable to multiple applications. This makes the proposed system vocabulary independent and application independent. The designed system is comprised of the different processing steps like detection, segmentation, tracking, recognition, etc. Vocabulary independence has been incorporated in the proposed system with the help of a robust gesture mapping module that allows the user for cognitive mapping of different gestures to the same command and vice versa. For performance analysis of the proposed system accuracy, recognition rate and command response time have been compared. These parameters have been considered because they analyze the vital impact on the performance of the proposed vocabulary and application-independent hand gesture recognition system.

scholarly journals Self-Powered Intelligent Human-Machine Interaction for Handwriting Recognition

Research ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hang Guo ◽  
Ji Wan ◽  
Haobin Wang ◽  
Hanxiang Wu ◽  
Chen Xu ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Human Computer Interaction ◽  
Supervised Machine Learning ◽  
Triboelectric Nanogenerator ◽  
Human Machine Interaction ◽  
The Neural Network ◽  
Interaction Interface ◽  
Machine Interaction ◽  
Computer Interaction

Handwritten signatures widely exist in our daily lives. The main challenge of signal recognition on handwriting is in the development of approaches to obtain information effectively. External mechanical signals can be easily detected by triboelectric nanogenerators which can provide immediate opportunities for building new types of active sensors capable of recording handwritten signals. In this work, we report an intelligent human-machine interaction interface based on a triboelectric nanogenerator. Using the horizontal-vertical symmetrical electrode array, the handwritten triboelectric signal can be recorded without external energy supply. Combined with supervised machine learning methods, it can successfully recognize handwritten English letters, Chinese characters, and Arabic numerals. The principal component analysis algorithm preprocesses the triboelectric signal data to reduce the complexity of the neural network in the machine learning process. Further, it can realize the anticounterfeiting recognition of writing habits by controlling the samples input to the neural network. The results show that the intelligent human-computer interaction interface has broad application prospects in signature security and human-computer interaction.

scholarly journals Expressando Emoções e Sentimentos no Facebook

2020 ◽  
Author(s):  
Francielli Freitas Moro ◽  
Luciana Bolan Frigo
Keyword(s):  
Social Network ◽  
Human Computer Interaction ◽  
Computer Systems ◽  
Gender Diversity ◽  
User Needs ◽  
Human Machine Interaction ◽  
Design Interfaces ◽  
Sociological Approaches ◽  
Machine Interaction ◽  
Computer Interaction

Computer systems are increasingly adapting to user needs. Human-machine interaction or human-computer interaction (HCI), as it is known, has discussed sociological approaches in order to design interfaces taking into account user's differences. This article presents an analysis of the Facebook social network based on the evolution of traditional HCI and some of its concepts for feminist HCI, thus exploring its functionality and evaluating it in this context. Surveys based on the concepts of feminist HCI were applied to evaluate this methodology and the impacts on gender diversity in these systems. The results indicate that most users seek more freedom to express themselves at the system and its content.

scholarly journals Efficient Classification of Horizontal And Vertical EOG Signals For Human Computer Interaction

2021 ◽  
Author(s):  
Abdel-Gawad A. Abdel-Samei ◽  
Ahmed S.Ali ◽  
Fathi E. Abd El-Samie ◽  
Ayman M.Brisha
Keyword(s):  
Support Vector Machine ◽  
Feature Extraction ◽  
Eye Movements ◽  
Human Computer Interaction ◽  
Nearest Neighbor ◽  
Human Interaction ◽  
Support Vector ◽  
K Nearest Neighbor ◽  
Human Eye ◽  
Computer Interaction

Abstract Human-computer interaction (HCI) using Electrooculography (EOG) has been a growing area of research in recent years. The HCI provides communication channels between the human and the external device. Today, EOG is one of the most important biomedical signals for measuring and analyzing the direction of eye movements. The EOG is used to produce both activities in vertical and horizontal directions of human eye movements. In this paper, different human eye movement tasks from vertical and horizontal directions are studied. The dataset of EOG signals were obtained from Electroencephalography (EEG) electrodes from 27 healthy people, 14 males and 13 females. This process resulted from two dipole signals, the vertical-EOG signals and the horizontal-EOG signals. These signals were filtered by band-pass at 0.5–5Hz. A total of 54 datasets from these 27 healthy individuals, each lasting 30 seconds, were given. The Bo-Hjorth parameter was implemented for feature extraction on the preprocessed EOG signals. For classification, Decision Tree (DT), K-Nearest Neighbor (KNN), Ensemble Classifier (EC), Kernel Naive Bayes (KNB) and Support Vector Machine (SVM)) were utilized. The obtained results reveal that the best classifiers on horizontal and vertical signals are the Support Vector Machine (SVM), the Cosine KNN and the Ensemble Subspace Discriminant with having 100% percentage accuracies. Through designing the proposed algorithm for feature extraction, the highest performance of classification can be obtained for rehabilitation purposes and other applications that help the handicapped to take decisions for better life quality, by providing possible human interaction with a computer.

scholarly journals Open up: a survey on open and non-anonymized peer reviewing

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Lonni Besançon ◽  
Niklas Rönnberg ◽  
Jonas Löwgren ◽  
Jonathan P. Tennant ◽  
Matthew Cooper
Keyword(s):  
Human Computer Interaction ◽  
Peer Review ◽  
Qualitative Data ◽  
Review Process ◽  
Quantitative Result ◽  
Human Interaction ◽  
Practical Implementation ◽  
Link Type ◽  
Open Review ◽  
Computer Interaction

Abstract Background Our aim is to highlight the benefits and limitations of open and non-anonymized peer review. Our argument is based on the literature and on responses to a survey on the reviewing process of alt.chi, a more or less open review track within the so-called Computer Human Interaction (CHI) conference, the predominant conference in the field of human-computer interaction. This track currently is the only implementation of an open peer review process in the field of human-computer interaction while, with the recent increase in interest in open scientific practices, open review is now being considered and used in other fields. Methods We ran an online survey with 30 responses from alt.chi authors and reviewers, collecting quantitative data using multiple-choice questions and Likert scales. Qualitative data were collected using open questions. Results Our main quantitative result is that respondents are more positive to open and non-anonymous reviewing for alt.chi than for other parts of the CHI conference. The qualitative data specifically highlight the benefits of open and transparent academic discussions. The data and scripts are available on https://osf.io/vuw7h/, and the figures and follow-up work on http://tiny.cc/OpenReviews. Conclusion While the benefits are quite clear and the system is generally well-liked by alt.chi participants, they remain reluctant to see it used in other venues. This concurs with a number of recent studies that suggest a divergence between support for a more open review process and its practical implementation.

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