1,720,968 research outputs found
A Somaesthetics Based Approach to the Design of Multisensory Interactive Systems
No full textThis paper aims to analyse the state-of-the-art of somaesthetics, describing the scientific and philosophic basis of the discipline, in order to devise how to implement a soma-based design. The goal is to apply the somaesthetics approach to the design of multisensory interactive systems for the purpose of creating novel technology designs for people with disabilities that can foster their participation and improve their daily life and overall well-being. Somatics can be intended as a set of instrumental values to increase bodily awareness. It allows us to get in touch with our own inner states, which can lead to a personal evaluative dimension for the designer, which can be used to integrate existing methods for evaluating experiences. Paying attention to one’s own bodily states is key as it can turn such states in desing material. This concept was further developed with Shusterman’s somaesthetics, a theoretical framework for aesthetic experiences. In the paper, we present examples of somaesthetics approaches to the design of interfaces (e.g. the SomaMat, that uses heat stimuli to guide the user attention to different parts of his/her body and can be a support for exercising or a tool to increase the body awareness). Moreover, we illustrate existing practices to design such as Embodied Sketching or Moving and Making Strange that are based on the body as the starting point of the design process, usually preceded by techniques such as defamiliarization or Feldenkrais exercises. Then, we move on to our forthcoming research, aimed at applying a somaesthetics approach to create a system for two possible groups of users: (1) children who are patients at the Giannina Gaslini Institute (a pediatric hospital) and (2) visually impaired and blind people members of Unione Italiana Ciechi (an Italian association of blind people). The system will help users move together, to increase interaction between them as well as involve them in educational and creative activities. The work will be carried out under the PNRR RAISE project (Robotics and AI for Socio-economic Empowerment; https://www.raiseliguria.it/)
Towards a cognitive-inspired automatic unitizing technique
No full textIn this paper, we present and assess a novel technique for unitizing inspired by a cognitive theory on event structure perception. Unitizing indicates the process of dividing an observation into smaller units. Unitizing is often performed automatically, e.g., by selecting fixed-length windows. Although fast, such approach might result in unit boundaries being placed mid-interaction, eventually affecting observation, annotation, and labeling. We conceived a unitizing technique based on the Event Segmentation theory. In brief, changes drive the perception of boundaries between events (or units): an unexpected change in the observed situation might mean the current event ended and a new one begun. Our technique relies on observed changes for identifying unit boundaries. The first sketch of our technique was recently tested, proving it effective in overcoming the aforementioned shortcomings of fixed-window unitizing. Here, we further explore its feasibility by testing it in a different domain, i.e., solo stage performances, in order to explore the feasibility of adopting our unitizing approach across domains. Our results further support the idea of leveraging the Event Segmentation Theory for the design of an automatic technique for video unitizing
Automatic recognition of narrative drama units: A structured learning approach
Full text linkDrama is a story told through the live actions of characters; dramatic writing is characterized by aspects that are central to identify, interpret, and relate the different elements of a story. The Drammar ontology has been proposed to represent core dramatic qualities of a dramatic text, namely Actions, Agents, Scenes and Conflicts, evoked by individual text units. The automatic identification of such elements in a drama is the first step in the recognition of their evolution, both at coarse and fine grain text level. In this paper, we address the issue of segmentation, that is, the partition of the drama into meaningful unit sequences We study the role of editorial as well as content–based text properties, without relying on deep ontological relations. We propose a generative inductive machine learning framework, combining Hidden Markov models and SVM and discuss the role of event information (thus involving agents and actions) at the lexical and grammatical level
Computational Commensality: From Theories to Computational Models for Social Food Preparation and Consumption in HCI
No full textFood and eating are inherently social activities taking place, for example, around the dining table at home, in restaurants, or in public spaces. Enjoying eating with others, often referred to as “commensality,” positively affects mealtime in terms of, among other factors, food intake, food choice, and food satisfaction. In this paper we discuss the concept of “Computational Commensality,” that is, technology which computationally addresses various social aspects of food and eating. In the past few years, Human-Computer Interaction started to address how interactive technologies can improve mealtimes. However, the main focus has been made so far on improving the individual's experience, rather than considering the inherently social nature of food consumption. In this survey, we first present research from the field of social psychology on the social relevance of Food- and Eating-related Activities (F&EA). Then, we review existing computational models and technologies that can contribute, in the near future, to achieving Computational Commensality. We also discuss the related research challenges and indicate future applications of such new technology that can potentially improve F&EA from the commensality perspective
What's on your plate? Collecting multimodal data to understand commensal behavior
No full textEating is a fundamental part of human life and is, more than anything, a social activity. A new field, known as Computational Commensality has been created to computationally address various social aspects of food and eating. This paper illustrates a study on remote dining we conducted online in May 2021. To better understand this phenomenon, known as Digital Commensality, we recorded 11 pairs of friends sharing a meal online through a videoconferencing app. In the videos, participants consume a plate of pasta while chatting with a friend or a family member. After the remote dinner, participants were asked to fill in the Digital Commensality questionnaire, a validated questionnaire assessing the effects of remote commensal experiences, and provide their opinions on the shortcomings of currently available technologies. Besides presenting the study, the paper introduces the first Digital Commensality Data-set, containing videos, facial landmarks, quantitative and qualitative responses. After surveying multimodal data-sets and corpora that we could exploit to understand commensal behavior, we comment on the feasibility of using remote meals as a source to build data-sets to investigate commensal behavior. Finally, we explore possible future research directions emerging from our results
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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