Departament of Information Systems

This article addresses the topic of shared responsibilities in supply chains, with a specific focus on the application of the Internet of Things (IoT) in e-health environments, and Industry 4.0 issues—concerning data security, privacy, reliability and management, data mining and knowledge exchange as well as health prevention. In this article, we critically review methodologies and guidelines that have been proposed to approach these ethical aspects in digital supply chain settings. The emerging framework presents new findings on how digital technologies affect vaccine shared supply chain systems. Through epistemological analysis, the article derives new insights for transparency and accountability of supply chain cyber risk from Internet of Things systems. This research devises a framework for ethical awareness, assessment, transparency and accountability of the emerging cyber risk from integrating IoT technologies on shared Covid-19 healthcare supply chain infrastructure.

In March 2021, the European Commission announced Europe's Digital Decade (Europe’s Digital Decade: Commission sets the course towards a digitally empowered Europe by 2030. European Commission Press Release. Access on https://ec.europa.eu/commission/presscorner/detail/en/ip_21_983). Here the Commission sets the course towards a digitally empowered Europe by 2030. In February 2020, the European Commission published ‘A European Strategy for Data’ (European data strategy: Making the EU a role model for a society empowered by data. European Commission, February 2020. Access on: https://ec.europa.eu/info/strategy/priorities-2019–2024/europe-fit-digital-age/european-data-strategy_en (2020)) as part of a wider drive concerning digital transformation and policy. In this article, we analyse the publication as it touches on broader themes ranging from digital literacy, to cloud infrastructure and artificial intelligence. Within this context, in this article, we use the EC publication as a ...

Intelligent User Interfaces capture the users' behavior throughout the human-computer dialogue providing appropriate user support in the form of guidance, help, or interface adaptation. Along these lines and drawing from approaches in the emerging area of Affective Computing, this paper discusses the relevance of observing users' facial expressions to complement current methods for user interface adaptation. Such monitoring is achieved by employing video-cameras and using physiological monitoring with Electromyogram sensors for validation.

The relatively recent research field of multi-modal interaction addresses the integration of the different communication channels between human and computer with the goal of providing a more accessible and less encumbering interface. Through this position paper, it is the author's intention to emphasize the use of and challenges for multi-modal interaction technology as a mean to achieve universal accessibility -Anyone, Anywhere.

This paper discusses the association of emotions as an underlying component of everyday human-computer interaction. It presents the ongoing work in the design of an experiment to help understand the role that cognitive or appraisal theory of emotions might have in shaping the human-computer dialogue.

This article describes an emerging approach to the design of human-machine systems referred to as 'neuroadaptive interface technology'. A neuroadaptive interface is an ensemble of computer-based displays and controls whose functional characteristics change in response to meaningful variations in the user's cognitive and/or emotional states. Variations in these states are indexed by corresponding central nervous system activity, which control functionally adaptive modifications to the interface. The purpose of these modifications is to promote safer and more effective human-machine system performance. While fully functional adaptive interfaces of this type do not currently exist, there are promising steps being taken toward their development, and great potential value in doing so-value that corresponds directly to and benefits from a neuroergonomic approach to systems development. Specifically, it is argued that the development of these systems will greatly enhance overall human-machine system performance by providing more symmetrical communications between users and computerbased systems than currently exist. Furthermore, their development will promote a greater understanding of the relationship between nervous system activity and human behaviour (specifically work-related behaviour), and as such may serve as an exemplary paradigm for neuroergonomics. A number of current research and development areas related to neuroadaptive interface design are discussed, and challenges associated with the development of this technology are described.

This paper discusses the method of observing facial expressions as a potential technique to infer usability problems perceived by the users. We present some of the topics of discussion that this approach might raise and the research issues associated.

We present the design of the first prototype of TOK -a tangible interface for children to create their own stories. Based on data collected with two groups of five years old preschoolers we present our findings regarding the interaction design of the system. The picture cards have shown to generate ideas, acting as input for the creation of stories, promoting creativity while proposing a framework that supports and guides the construction of logical structures. This is a first step in an effort to build a toolkit of tangible interfaces allowing children and teachers to build their own digital enhanced learning activities.

We report on an exploratory study where the first 60 seconds of the video recording of a user interaction are used to predict the user's experienced task difficulty. This approach builds on previous work on "thin slices" of human-human behavior, and applies it to humancomputer interaction. In the scenario of interacting with a photocopy machine, automated video coding showed that the Activity and Emphasis predicted 46.6% of the variance of task difficulty. This result closely follows reported results on predicting negotiation outcomes from conversational dynamics using similar variables on the speech signal.