Life cycle assessment of power generation systems in Spain: Exploring a broader view from a consequential perspective

Developing new clean power generation systems is a research priority for the energy sector, and selection should be based on environmental performance over the entire lifetime. Consequential Life Cycle Assessment evaluates the consequences of this selection and provides environmental data to support decision-making. This research uses a consequential approach to assess the environmental impacts of two medium power generation systems. The selected environmental impact assessment methods are IPCC 2013 GWP 100y and ReCiPe 2016. Moreover, the work describes a methodology for finding the marginal mix technologies for electricity and cooling energy production depending on the time horizon. The positive environmental consequences associated with short-term marginal energy mixes (electricity and cooling) progressively disappear when the marginal energy mix varies throughout time. The environmental results strongly depend on the marginal mix of technologies and evidence the necessity to develop methodologies and standards to improve the robustness of environmental assessments. A new line of discussion is opened concerning the temporal variation of environmental impacts of an energy production system, which could also be considered in Attributional Life Cycle Assessments

Measuring User Experience of Adaptive User Interfaces using EEG: A Replication Study

Adaptive user interfaces have the advantage of being able to dynamically change their aspect and/or behaviour depending on the characteristics of the context of use, i.e. to improve user experience(UX). UX is an important quality factor that has been primarily evaluated with classical measures but to a lesser extent with physiological measures, such as emotion recognition, skin response, or brain activity.In a previous exploratory experiment involving users with different profiles and a wide range of ages, we analysed user experience in terms of cognitive load, engagement, attraction and memorisation when employing twenty graphical adaptive menus through the use of an Electroencephalogram (EEG) device. The results indicated that there were statistically significant differences for these four variables. However, we considered that it was necessary to confirm or reject these findings using a more homogeneous group of users.We conducted an operational internal replication study with 40 participants. We also investigated the potential correlation between EEG signals and the participants' user experience ratings, such as their preferences.The results of this experiment confirm that there are statistically significant differences between the EEG variables when the participants interact with the different adaptive menus. Moreover, there is a high correlation among the participants' UX ratings and the EEG signals, and a trend regarding performance has emerged from our analysis.These findings suggest that EEG signals could be used to evaluate UX. With regard to the menus studied, our results suggest that graphical menus with different structures and font types produce more differences in users' brain responses, while menus which use colours produce more similarities in users' brain responses. Several insights with which to improve users' experience of graphical adaptive menus are outlined.Comment: 10 pages, 4 figures, 2 tables, 34 references, International Conference on Evaluation and Assessment in Software Engineering (EASE '23

Human Factors in Software Development Processes: Measuring System Quality

Software Engineering and Human-Computer Interaction look at the development process from different perspectives. They apparently use very different approaches, are inspired by different principles and address different needs. But, they definitively have the same goal: develop high quality software in the most effective way. The second edition of the workshop puts particular attention on efforts of the two communities in enhancing system quality. The research question discussed is: who, what, where, when, why, and how should we evaluate?

Interplay between User Experience (UX) evaluation and system development

User Experience (UX) is a maturing research area pertaining to as well as extending beyond the traditional usability. Issues in the realm of usability may be amplified in UX because of its larger scope. Four key non-orthogonal issues are definition, modeling, method selection, and interplay between evaluation and development. Leveraging the legacy of a series of related research activities, this Special Issue (SI) aims to develop a deeper understanding of how evaluation feedback shapes software development, especially when experiential qualities such as fun, trust, esthetic values are concerned. Three articles addressing this specific topic from different perspectives and with different approaches are included in this SI.Law, EL.; Abrahao Gonzales, SM. (2014). Interplay between User Experience (UX) evaluation and system development. International Journal of Human-Computer Studies. 72(6):523-525. doi:10.1016/j.ijhcs.2014.03.003S52352572

Quantifying usability of domain-specific languages: An empirical study on software maintenance

A domain-specific language (DSL) aims to support software development by offering abstractions to a particular domain. It is expected that DSLs improve the maintainability of artifacts otherwise produced with general-purpose languages. However, the maintainability of the DSL artifacts and, hence, their adoption in mainstream development, is largely dependent on the usability of the language itself. Unfortunately, it is often hard to identify their usability strengths and weaknesses early, as there is no guidance on how to objectively reveal them. Usability is a multi-faceted quality characteristic, which is challenging to quantify beforehand by DSL stakeholders. There is even less support on how to quantitatively evaluate the usability of DSLs used in maintenance tasks. In this context, this paper reports a study to compare the usability of textual DSLs under the perspective of software maintenance. A usability measurement framework was developed based on the cognitive dimensions of notations. The framework was evaluated both qualitatively and quantitatively using two DSLs in the context of two evolving object-oriented systems. The results suggested that the proposed metrics were useful: (1) to early identify DSL usability limitations, (2) to reveal specific DSL features favoring maintenance tasks, and (3) to successfully analyze eight critical DSL usability dimensions.This work was funded by B. Cafeo CAPES PhD Scholarship, and CNPq scholarship grant number 141688/2013-0; A. Garcia FAPERJ - distinguished scientist grant (number E-26/102.211/2009), CNPq - productivity grants (number 305526/2009-0 and 308490/2012-6), Universal project grants (number 483882/2009-7 and 485348/2011-0), and PUC-Rio (productivity grant).info:eu-repo/semantics/publishedVersio

Evaluating requirements modeling methods based on user perceptions: a family of experiments

Numerous methods and techniques have been proposed for requirements modeling, although very few have had widespread use in practice. One drawback of requirements modeling methods is that they lack proper empirical evaluations. This means that there is a need for evaluation methods that consider both the theoretical and practical aspects of this type of methods and techniques. In this paper, we present a method for evaluating the quality of requirements modeling methods based on user perceptions. The evaluation method consists of a theoretical model that explains the relevant dimensions of quality for requirements modeling methods, along with a practical instrument with which to measure these quality dimensions. Basically, it allows us to predict the acceptance of a particular requirements modeling method in practice, based on the effort of applying the method, the quality of the requirements artifacts produced, and the user perceptions with regard to the quality of the method. The paper also presents an empirical test of the proposed method for evaluating a Rational Unified Process (RUP) extension for requirements modeling. That test was carried out through a family of experiments conducted with students and practitioners and provides evidence of the usefulness of the evaluation method proposed. © 2011 Elsevier Inc. All rights reserved.This research has been funded by the following projects: MULTIPLE (MICINN TIN2009-13838), MEDUSAS (CDTI-MICINN and FEDER IDI-20090557), ORIGIN (CDTI-MICINN and FEDER IDI-2010043(1-5)), PEGASO/MAGO (MICINN and FEDER, TIN2009-13718-C02-01), EECCOO (MICINN TRA2009_0074), MECCA (JCMM PII2109-0075-8394) and IMPACTUM (JCCM PEII11-0330-4414).Abrahao Gonzales, SM.; Insfrán Pelozo, CE.; Carsí Cubel, JÁ.; Genero Bocco, M. (2011). Evaluating requirements modeling methods based on user perceptions: a family of experiments. Information Sciences. 181(16):3356-3378. https://doi.org/10.1016/j.ins.2011.04.005S335633781811

Linking requirements specification with interaction design and implementation

Abstract: One challenging goal in the context of Software Engineering (SE) and Human-Computer Interaction (HCI) is to provide appropriate bridges between the most well-known software production methods and techniques. SE is supposed to be strong in specifying functional requirements, while HCI is centred on defining user interaction at the appropriate level of abstraction. In any case, general-perspective software production methods that combine most functional-oriented, conventional requirements specification with the most interaction-oriented, user interface modelling are strongly required. In this paper, we present a specific approach in this context, intended to properly combine a sound functional requirements specification with an abstract model of the user interface represented by a CTT model. When the functional specification is enriched with such an interaction model, it is easier to derive the final software implementation that will represent both the structure and behaviour of the system and the user interaction. The presented approach has been successfully implemented in a MDA-based approach called Oliva Nova Model Execution, demonstrating that Conceptual Modeling-based strategies are more powerful when user interaction and system behaviour are modelled within a unified view