Monitoring and improving performance in human-computer interaction

Monitoring an individual's performance in a task, especially in the workplace context, is becoming an increasingly interesting and controversial topic in a time in which workers are expected to produce more, better and faster. The tension caused by this competitiveness, together with the pressure of monitoring, may not work in favour of the organization's objectives. In this paper, we present an innovative approach on the problem of performance management. We build on the fact that computers are nowadays used as major work tools in many workplaces to devise a non-invasive method for distributed performance monitoring based on the observation of the worker's interaction with the computer. We then look at musical selection both as a pleasant and as an effective method for improving performance in the workplace. The proposed approach will allow team coordinators to assess and manage their co-workers' performance continuously and in real-time, using a distributed service-based architecture. Copyright (c) 2015 John Wiley & Sons, Ltd.This work is part-funded by European Regional Development Fund (ERDF) through the COMPETE Programme (operational programme for competitiveness) and by the national funds through the Fundacao para a Ciencia e a Tecnologia (FCT; Portuguese Foundation for Science and Technology) within projects FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012) and project PEst-OE/EEI/UI0752/2014.info:eu-repo/semantics/publishedVersio

Location monitoring in business world: balance between improving workplace performance and human computer interaction issues

With the development of the emerging technologies, location monitoring has emerged recently in area of monitoring in the workplace. Compare with the other electronic monitoring types, location monitoring has a huge potential to increase in the future because of the rapid development of location sensing technology and its current low market share. Itis a complex research theme as it can bring out plenty of positive effects to organizations such as increasing productivity and reducing cost. However, the negative implications to employees such as perceptions of privacy, stress and fairness which will interact with organizations each other can also be serious problems to organizations. Thus, this research proposes to evaluate the general employees’ personal implications within the cab industry such as privacy, stress and fairness issues regarding to the location monitoring in the workplace. Besides, it intends to determine the several external factors that will drive or influence these personal implications. Finally, it will suggest recommendations from management aspect and technology aspect to help reduce the managerial risks for organizations based on the discussion in this current research’s results. There are two studies in this research to fulfil the research aims: In-depth Interview and prototype design. According to the two studies, it is found out that, the three personal implications (privacy, stress and fairness) discussed in the previous researches do not show extremely negative effects to the drivers and cab companies. Additionally, there are four factors that will influence these personal implications while using location monitoring: organization culture, business model, monitoring system design and purpose consistence. Finally, this research recommends that organizations should build a fairer and transparent work environment and involve employees in the design or implementation of monitoring system as well as offer a multi-function monitoring devices to employees

Where Theory meets Practice: A Case for an Activity Theory based Methodology to guide Computer System Design

Computer system developers are increasingly being challenged to develop tools that are not only usable, but more importantly useful in the sense of assisting the user to achieve desired goals. This requirement has highlighted the importance of accounting for the social and cultural issues of the computer tool user when developing a computer system. Activity Theory (AT) has emerged as a suitable framework for analysing social and cultural issues because it provides a language to describe what people do in context. However, many computer system developers have failed to benefit from this insight mainly due to lack of established methods to operationalise ideas from this framework for the purpose of guiding the design process. This paper proposes a methodology developed to direct the application of a version of AT based on Engeström’s (1987) conceptualisation in order to support requirements capture during computer system design

Big data analytics:Computational intelligence techniques and application areas

Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment

The psychology of driving automation: A discussion with Professor Don Norman

Introducing automation into automobiles had inevitable consequences for the driver and driving. Systems that automate longitudinal and lateral vehicle control may reduce the workload of the driver. This raises questions of what the driver is able to do with this 'spare' attentional capacity. Research in our laboratory suggests that there is unlikely to be any spare capacity because the attentional resources are not 'fixed'. Rather, the resources are inextricably linked to task demand. This paper presents some of the arguments for considering the psychological aspects of the driver when designing automation into automobiles. The arguments are presented in a conversation format, based on discussions with Professor Don Norman. Extracts from relevant papers to support the arguments are presented

Smart Computing and Sensing Technologies for Animal Welfare: A Systematic Review

Animals play a profoundly important and intricate role in our lives today. Dogs have been human companions for thousands of years, but they now work closely with us to assist the disabled, and in combat and search and rescue situations. Farm animals are a critical part of the global food supply chain, and there is increasing consumer interest in organically fed and humanely raised livestock, and how it impacts our health and environmental footprint. Wild animals are threatened with extinction by human induced factors, and shrinking and compromised habitat. This review sets the goal to systematically survey the existing literature in smart computing and sensing technologies for domestic, farm and wild animal welfare. We use the notion of \emph{animal welfare} in broad terms, to review the technologies for assessing whether animals are healthy, free of pain and suffering, and also positively stimulated in their environment. Also the notion of \emph{smart computing and sensing} is used in broad terms, to refer to computing and sensing systems that are not isolated but interconnected with communication networks, and capable of remote data collection, processing, exchange and analysis. We review smart technologies for domestic animals, indoor and outdoor animal farming, as well as animals in the wild and zoos. The findings of this review are expected to motivate future research and contribute to data, information and communication management as well as policy for animal welfare

Logic, self-awareness and self-improvement: The metacognitive loop and the problem of brittleness

This essay describes a general approach to building perturbation-tolerant autonomous systems, based on the conviction that artificial agents should be able notice when something is amiss, assess the anomaly, and guide a solution into place. We call this basic strategy of self-guided learning the metacognitive loop; it involves the system monitoring, reasoning about, and, when necessary, altering its own decision-making components. In this essay, we (a) argue that equipping agents with a metacognitive loop can help to overcome the brittleness problem, (b) detail the metacognitive loop and its relation to our ongoing work on time-sensitive commonsense reasoning, (c) describe specific, implemented systems whose perturbation tolerance was improved by adding a metacognitive loop, and (d) outline both short-term and long-term research agendas