Form Of Human-computer Interaction Research Articles

Job demands and resources when using technologies at work – development of a digital work typology

PurposeDigital technologies comprehensively change work processes and working conditions. However, the use of digital technologies and the modes of collaboration between technologies and human workers differ in terms of specific work organization and automatization. Referring to the job demands-resources model (JD-R), this paper investigates job demands and resources from the workers' perspectives and develops a digital work typology according to dimensions of digitalization and forms of human–computer interaction (HCI).Design/methodology/approachThe authors conducted a qualitative-empirical study with 49 interviews in four German production and logistics organizations, emphasizing different job demands and job resources for five digital work types identified.FindingsThe results indicate that job demands and resources are to be differentiated in relation to specific work contexts. In this sense, this paper presents an analysis of dimensions of technology use and the impact of technology use on working conditions through empirically analyzing job demands and resources in digital work settings.Originality/valueThe contribution of this paper is to empirically analyze job demands and resources in digital work settings from the workers' perspectives and to develop a digital work typology based on the dimensions of digitalization and form of HCI. This typology can set the basis for further research insights as well as management practice measures in human resources management (HRM).

Social Computing Unhinged

Social computing is ubiquitous and intensifying in the 21st Century. Originally used to reference computational augmentation of social interaction through collaborative filtering, social media, wikis, and crowdsourcing, here I propose to expand the concept to cover the complete dynamic interface between social interaction and computation, including computationally enhanced sociality and social science, socially enhanced computing and computer science, and their increasingly complex combination for mutual enhancement. This recommends that we reimagine Computational Social Science as Social Computing, not merely using computational tools to make sense of the contemporary explosion of social data, but also recognizing societies as emergent computers of more or less collective intelligence, innovation and flourishing. It further proposes we imagine a socially inspired computer science that takes these insights into account as we build machines not merely to substitute for human cognition, but radically complement it. This leads to a vision of social computing as an extreme form of human computer interaction, whereby machines and persons recursively combine to augment one another in generating collective intelligence, enhanced knowledge, and other social goods unattainable without each other. Using the example of science and technology, I illustrate how progress in each of these areas unleash advances in the others and the beneficial relationship between the technology and science of social computing, which reveals limits of sociality and computation, and stimulates our imagination about how they can reach past those limits together.

Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review

Today, daily life is composed of many computing systems, therefore interacting with them in a natural way makes the communication process more comfortable. Human–Computer Interaction (HCI) has been developed to overcome the communication barriers between humans and computers. One form of HCI is Hand Gesture Recognition (HGR), which predicts the class and the instant of execution of a given movement of the hand. One possible input for these models is surface electromyography (EMG), which records the electrical activity of skeletal muscles. EMG signals contain information about the intention of movement generated by the human brain. This systematic literature review analyses the state-of-the-art of real-time hand gesture recognition models using EMG data and machine learning. We selected and assessed 65 primary studies following the Kitchenham methodology. Based on a common structure of machine learning-based systems, we analyzed the structure of the proposed models and standardized concepts in regard to the types of models, data acquisition, segmentation, preprocessing, feature extraction, classification, postprocessing, real-time processing, types of gestures, and evaluation metrics. Finally, we also identified trends and gaps that could open new directions of work for future research in the area of gesture recognition using EMG.

A Novel Gesture Control Scheme of Mobile Robots Based on ROS

Gesture control is one form of human-computer interaction, which captures the gesture image through the camera and parses it into corresponding instructions to control the movement of mobile robots. As an intuitive, convenient and flexible interaction method, gesture control can be used as an assisted control way of warehousing and logistics robots, intelligent wheelchairs and so on. In this paper, a mobile robot gesture-controlling scheme was designed and implemented using MATLAB and Robot Operating System (ROS). Firstly, a hand gesture image was captured using a RGBD camera and then was preprocessed using MATLAB. Then, the gesture contour was extracted through morphological processing and the gesture was recognized based on pixels’ changing. Finally, a MATLAB-ROS interface was developed to convert the recognized gestures into corresponding commands to control the basic movements(forward, backward, turn left, turn right and stop, etc.) of a mobile robot. A TurtleBot2-a mobile robot using ROS was used to test this scheme. The results show that the scheme this paper put forwarded can recognize five commonly used static gestures and can control five basic movements of TurtleBot2 successfully and the recognition and controlling accuracy can attain over 90%.

Knowledge Representation and Inference Engine Model of SAPS Gaming Concept

This paper propose a conceptual graph model to represent the concept of gaming, named SAPS (Status, Access, Power, Stuff) and propose a building block of the engine to run and control the game by rule of game design that be expressed in the SAPS. The advantage of this design is flexibility of the rule definition, supports many game mechanic and dynamic, as well as accommodates multirole playing and multiplayer games. The Excellence is achieved through representation of an access as actionID, Heuristic Value, Role name, Prerequisite, Impact. Prerequisite and impact are represented into a positive sentence of first order predicate calculus with the AND operator. The predicate in pre-requisite sentences express status and criteria. Predicate in impact have been identified 4 kinds, namely increment, decrement, add, and sets. Are those representative for update status, still need more research .Game mechanic was accommodated through status that be represented in (type of status; objects; attributes; criteria). Valid Type of status includes xpoint, redeemable Point, level/badge, progress, stuff, ownership, and time. Game Dynamic was accommodated through the discretion to perform user defined action. But the form of human computer interaction of such action has not been designed. Heuristic value on the model is filled by game designer and designed to support the delivery guidance to the player automatically, by suggesting optimal actions to achieve goals using Forward A* Search. Moreover three modules of Forward Intelligent Searching are designed, ie first to update the state of action based on current status. There are three kinds of state, namely the ‘lock’, ‘open’, ‘closed’. The second is to update the status automatically based on the selected action to be executed. The third is execute automatic action that be triggered by status or by time. They all refer to the rule of the game are defined in the ‘access’

The Study about Parsing of RGG Grammar

Visualization is the main form of human-computer interaction. The grammar formal description of visual language opens and explores the s application cope and theoretical research field of grammar. At present, graph grammar describing visual language is one of the best the formal methods. In the paper, formal parsing method of RGG grammar is studied deeply, a parsing algorithm about RGG grammar is described, and its application on Petri net is discussed.

Extended presence: The instrumental(ised) body in André Werner's Marlowe: The Jew of Malta

The main objective of this paper is to investigate alterations to the performer's presence in contemporary opera that occur through the use of digital technologies. This argument is conducted on the basis of the opera Marlowe: The Jew of Malta (2002) by André Werner and focuses on motion tracking as an interface between performer and computer, in other words a form of human-computer interaction (HCI) on stage. The use and implications of motion tracking interfacing the performer's interaction with virtual scenery are examined and ‘Extended Presence’ is introduced as an approach to the performer's role within interactive stage environments. This concept widens the notion of the performer's presence by integrating the role of an operator that pervades both physicality and representation.

Virtual facility layout design using virtual reality techniques

Manufacturing facility layout design has long been recognized as one of the most critical and difficult design tasks in manufacturing industries. Traditional layout methods can not fully solve this complex spatial layout problem. Virtual reality (VR) is a new form of human-computer interaction, which has the potential to support a range of engineering applications. This paper discusses the reasons why manufacturing facility layout design is considered to be an appropriate new area of VR utilization. A VR-based layout design framework is proposed. The virtual environment construction issues are discussed. An example of the immersive VR application of facility layout is examined.

The application of immersive virtual reality for layout planning of manufacturing cells

Immersive virtual reality (VR) is a new form of human-computer interaction, which has the potential to support a range of engineering applications. A recent review of the methods of planning and implementing manufacturing cells indicates that the visual capability of VR could assist the planning process. Current planning methods are restricted by two-dimensional and three-dimensional modelling systems, which provide visual representation of the cells but lack the full user interaction. This paper describes the framework of an immersive VR approach to the planning and implementation of manufacturing cells in which the planner enters the modelled world of the application.