Search

The study of linguistics applied to computer science is a much-discussed topic today. In this area, particularly relevant is the software localization process describing the linguistic and cultural adaptation of software products to a specific market scenario. Software localization is going through a phase of strong development due to the great market demand and the current trend of making the computer more human-like in the way it interacts with the user. This paper focuses on “linguistic” localization by addressing the language translation process from the perspective of translation studies. In particular, the process of translating the language assets in a game and making the game linguistically and culturally appropriate for the target market will be explored. The study provides a systematic literature review of the main localization methods developed over the last four decades, along with the major issues and challenges mainly related to the main linguistic and cultural aspects of videogames. The review results are integrated with the results of a qualitative analysis conducted through a focus group with the participation of both academic and professional experts in software and videogame localization. The results of this study are worthwhile for many academics and industry professionals as they provide an in-depth overview of the localization process in software and videogames as well as potential directions for future research.

Multimodal deception detection has received increasing attention from the scientific community in recent years, mainly due to growing ethical and security issues, as well as the growing use of digital media. A great number of deception detection methods have been proposed in several domains, such as political elections, security contexts, and job interviews. However, a systematic analysis of the current situation and the evaluation and future directions of deception detection based on cues coming from multiple modalities seems to be lacking. This paper, starting from a description of methods and metrics used for the analysis and evaluation of multimodal deception detection on video, provides a vision of future directions in this field. For the analysis, the PRISMA recommendations are followed, which allow the collection and synthesis of all the available research on the topic and the extraction of information on the multimodal features, the fusion methods, the classification approaches, the evaluation datasets, and metrics. The results of this analysis contribute to the assessment of the state of the art and the evaluation of evidence on important research questions in multimodal deceptive deception. Moreover, they provide guidance on future research in the field.

Interest in detecting deceptive behaviours by various application fields, such as security systems, political debates, advanced intelligent user interfaces, etc., makes automatic deception detection an active research topic. This interest has stimulated the development of many deception-detection methods in the literature in recent years. This work systematically reviews the literature focused on facial cues of deception. The most relevant methods applied in the literature of the last decade have been surveyed and classified according to the main steps of the facial-deception-detection process (video pre-processing, facial feature extraction, and decision making). Moreover, datasets used for the evaluation and future research directions have also been analysed.

Local food traditions are an essential part of culture and society, reflecting a community’s history, values, and beliefs. Elders play a major role in passing on local food knowledge to younger generations, ensuring local food traditions and cultural identity do not disappear over time. To preserve these traditions, it is essential to engage older and younger generations of a community in a transgenerational dialogue. From this perspective, the study utilizes a hybrid participatory approach, composed of design thinking and learning-by-doing. Results of the case study underline the effectiveness of the approach in stimulating both the transfer of knowledge, as well as the involvement of younger generations, in the preservation of local food traditions.

Computational models can be considered human-designed computing models inspired by the processes observed in the natural world, which allow simulating and understanding these processes. Computational modelling is notably applied to simulate the behaviour and long-term dynamics of human Language. The research effort made so far in computational modelling of language evolution considers predominantly one modality by arguing for a unimodal origin of Language. This article extends this paradigm to a new perspective that integrates into its structure and learning algorithms principles from multimodal communication. This article gives an overview of the current language evolution models. It discusses the key challenges towards multimodal language evolution modelling by envisioning a conceptual framework to design the multimodal grounding and the language learning processes, as well as their realisation through a multi-agent multimodal referential game. This framework is valuable for many researchers working on language evolution to reveal the key questions they should address and integrate for pursuing a holistic vision that combines all modalities in a multimodal language evolution model.

The use of a co-creation process within e-learning practices enables learners to live positive experiences as they are more actively involved in the learning process. Starting from this consideration, the paper aims to demonstrate that using a co-creation approach to design a Massive Open Online Course allows amplification of the learning experience as well as the children's knowledge and awareness of digital health literacy issues, particularly of cyber-bullying. To this end, a case study that involves teachers and students from a primary school in Rome has been implemented. To engage students, two participative methodologies (open space technology and storytelling) are used. The results of the case study show a positive impact of the co-creation strategy on both the students' engagement in co-producing the learning content and their awareness and knowledge of the cyber-bullying phenomenon and digital health literacy issues.

Fake news detection has gained increasing importance among the research community due to the widespread diffusion of fake news through media platforms. Many dataset have been released in the last few years, aiming to assess the performance of fake news detection methods. In this survey, we systematically review twenty-seven popular datasets for fake news detection by providing insights into the characteristics of each dataset and comparative analysis among them. A fake news detection datasets characterization composed of eleven characteristics extracted from the surveyed datasets is provided, along with a set of requirements for comparing and building new datasets. Due to the ongoing interest in this research topic, the results of the analysis are valuable to many researchers to guide the selection or definition of suitable datasets for evaluating their fake news detection methods.

The increasing use of social media and the recent advances in geo-positioning technologies have produced a great amount of geosocial data, consisting of spatial, textual, and social information, to be managed and queried. In this paper, we focus on the issue of query processing by providing a systematic literature review of geosocial data representations, query processing methods, and evaluation approaches published over the last two decades (2000–2020). The result of our analysis shows the categories of geosocial queries proposed by the surveyed studies, the query primitives and the kind of access method used to retrieve the result of the queries, the common evaluation metrics and datasets used to evaluate the performance of the query processing methods, and the main open challenges that should be faced in the near future. Due to the ongoing interest in this research topic, the results of this survey are valuable to many researchers and practitioners by gaining an in-depth understanding of the geosocial querying process and its applications and possible future perspectives.