bluuebunny/crossref_metadata_2025 huggingface dataset:
Can a Condorcet Rule Have a Low Coalitional Manipulability?
Authors: Durand François  , Mathieu Fabien  , Noirie Ludovic
Published: February 2025

We investigate the possibility of designing a voting rule that both meets the Condorcet criterion and has a low vulnerability to coalitional manipulation. For this purpose, we examine the Condorcification of a voting rule, where the original rule is altered to elect the Condorcet winner when one exists, and we study its impact on coalitional manipulability. A recent result states that for a large class of voting rules based on strict total orders, their Condorcification is at most as coalitionally manipulable as the original rule. We show that for most of them, the improvement is strict. We extend these results to a broader framework that includes weak orders and cardinal voting rules. These results support the main message of this paper: when searching for a “reasonable” voting rule with minimal coalitional manipulability, investigations can be restricted to Condorcet rules. In other words, in a class of “reasonnable” voting rules, it is possible to have both the Condorcet criterion and a minimal vulnerability to coalitional manipulation.
Plan-Based Narrative Generation with Coordinated Subplots
Authors: Porteous Julie  , Charles Fred  , Cavazza Marc
Published: February 2025

Despite recent progress in plan-based narrative generation, one major limitation is that systems tend to produce a single plotline whose progression entirely determines the narrative experience. However, for certain narrative genres such as serial dramas and soaps, multiple interleaved subplots are expected by the audience, as this tends to be the norm in real-world, human-authored narratives. Current narrative generation techniques have overlooked this important requirement, something which could improve the perceived quality of generated stories. To this end, we have developed a flexible plan-based approach to multiplot narrative generation, that successfully generates narratives conforming to different subplot profiles, in terms of the number of subplots interleaved and the relative time spent on each presentation. We have identified specific challenges such as: distribution of virtual characters across subplots; length of each subplot presentation; and transitioning between subplots.
An Efficient Approach for the Generation of Allen Relations
Authors: Georgala Kleanthi  , Sherif Mohamed Ahmed  , Ngonga Ngomo Axel-Cyrille
Published: February 2025

Event data is increasingly being represented according to the Linked Data principles. The need for large-scale machine learning on data represented in this format has thus led to the need for efficient approaches to compute RDF links between resources based on their temporal properties. Time-efficient approaches for computing links between RDF resources have been developed over the last years. However, dedicated approaches for linking resources based on temporal relations have been paid little attention to. In this paper, we address this research gap by presenting AEGLE, a novel approach for the efficient computation of links between events according to Allen's interval algebra. We study Allen's relations and show that we can reduce all thirteen relations to eight simpler relations. We then present an efficient algorithm with a complexity of O(nlog n) for computing these eight relations. Our evaluation of the runtime of our algorithms shows that we outperform the state of the art by up to 4 orders of magnitude while maintaining a precision and a recall of 1.
Cross-Tool Interoperability in Heterogeneous Application Lifecycle Management Systems
Authors: Klespitz József  , Bíró Miklós  , Kovács Levente
Published: February 2025

Application lifecycle management (ALM) systems, used to support software development processes, can be composed from various components depending on the need of company. In this paper we focus on benefits of establishment of cross-tool interoperability with specific regard to heterogeneous platforms. We discuss how the different components can be connected for systemic tool collaboration with the help of Open Services for Lifecycle Collaboration (OSLC). This helps to improve traceability and consistency. Furthermore, workflow can be generated to correct the traceability gaps, consistency problems and even to implement modifications. Moreover, we present how the workload of developers can be decreased by integrating revision control system and development environment with the existing ALM system.
On Model Finding with Constraint Patterns
Authors: Dang Duc-Hanh  , Truong Anh-Hoang  , Dang Van Hung
Published: February 2025

Class models are often employed to represent domains. In order for class models to conform to their intended domain semantics, we need to ensure their precision and consistency. Precision can be achieved by augmenting the models with constraints, and consistency can be achieved by avoiding contradictory constraints. Model finding is a technique to maintain this kind of consistency. It automatically checks the satisfiability of models by using example instances. However, this technique is often inefficient when applied to large models due to the huge search space. In this paper, we propose a technique to narrow the search space by using patterns to represent constraints. Constraint patterns allow us to put further restrictions on the search space. Our case study illustrates that using constraint patterns in this way can improve the verification process.
Implementation of a Wiki Development Environment
Authors: Hannebauer Christoph  , Gruhn Volker
Published: February 2025

Newcomers are faced with contribution barriers when they want to join a Free/Libre and Open Source Software (FLOSS) project. Using wiki principles in software development has been proposed as one approach to lower contribution barriers. This approach requires a Wiki Development Environment (WikiDE), which is both a wiki and an Integrated Development Environment (IDE). This paper presents a Proof of Concept (PoC) realization of a WikiDE comprising three main components: a software forge, a Continuous Integration (CI) system, and a reviewer recommendation system.
A Deep Learning Approach for Searching Cloud-Hosted Software Projects
Authors: Petrović Gajo  , Dimitrieski Vladimir  , Fujita Hamido
Published: February 2025

Modern software development is highly dependent on existing libraries, frameworks and tools. Finding and learning the ones best suited to solve a given problem can sometimes take a considerable amount of time. Search for appropriate repositories is often done using keywords and standard Web search engines. In this paper we present an alternative way of searching software repositories, based on repository similarity. We have obtained Github repository metadata and constructed a Deep Neural Network, using a Variational Autoencoder, that learns a simplified signature, i.e. latent variable model, of each project. Relying on such simplified representation, we have made a system that can easily obtain similar projects based on the Euclidean distance between the latent variables. We provide a 2D project map of projects constructed based on projects similarity. Our system can also generate metadata for projects that do not exist yet, in order to provide suggestions for future software development.
New Approach to Multidisciplinary Content Driving of Engineering Model System Component Generation
Authors: Horváth László  , Rudas Imre J.
Published: February 2025

Latest development in model based engineering methods and modeling environments placed one of the main emphases on representation of multidisciplinary product system. For that reason, discipline specific modeling procedures and model representations are being integrated. One of the largest software applications was emerged concentrating product engineering related problem solving and applying most advanced software engineering methodology. As contribution to research in this area, this paper introduces new approach to intellectual content driven context structure for driving generation process for elements of requirements, functional, logical, and physical (RFLP) structured generic engineering model. The formerly developed initiative, behavior, con-text, and action (IBCA) driving content structure and its processing procedures were revised and extended for this purpose. The new approach supposes R, F, L, and P levels in engineering model, intellectual property (IP) type knowledge accumulation and reuse, and virtually executable structure of global product level contextual simulations. Industrial engineering system is required as implementation environment which is able to organize and manage engineering models for lifecycle of product. This paper starts with discussion of relevant structural elements and features of engineering model which can accommodate the proposed approach based engineering model components. Following this, need for the proposed extended and restructured IBCA structure and the new approach to content based driving of contextual engineering model elements (components) are explained. Rest of paper introduces issues about the new IBCA content structure and concept considering its implementation in industrial product engineering environment.
The Use of Smartphones in Norwegian Social Care Services
Authors: Hansen Linda Iren Mihaila  , Fruhling Ann  , Fossum Mariann
Published: February 2025

This study aims to understand how smartphone technology was perceived by social workers responsible for piloting social services software and the experiences of involving end-users as co-developers. The pilot resulted in an improved match between the smartphone software and workflow as well as mutual learning experiences among the social workers, clients, and the vendor. The pilot study revealed several graphical user interface (GUI) and functionality challenges. Implementing an ICT social service smartphone application may further improve efficiencies for social workers serving citizens, however; this study validates the importance to study end-users' experiences with communication and the real-time use of the system in order reap the anticipated benefits of ICT capabilities for smart phone social service applications.
IT Infrastructure for Merging Data from Different Clinical Trials and Across Independent Research Networks
Authors: Hayn Dieter  , Falgenhauer Markus  , Kropf Martin  , Nitzlnader Michael  , Welte Stefan  , Ebner Hubert  , Ladenstein Ruth  , Schleiermacher Gudrun  , Hero Barbara  , Schreier Günter
Published: February 2025

Opsoclonus Myoclonus Syndrome (OMS) is a rare disease in children which is often associated with neuroblastoma and, therefore, requires treatment by pediatric neurologists and oncologists. The ongoing OMS trial investigates questions related to OMS and potentially underlying neuroblastomas. To support this trial with an adequate IT infrastructure, linkage of neuroblastoma research databases with the OMS electronic data capture (EDC) system was required. Therefore, an EDC system for the OMS trial was developed and integrated into the research infrastructure of the European Network for Cancer Research in Children and Adolescents (ENCCA) project. Application of ENNCA's pseudonymization concept enabled linkage of the OMS trial with neuroblastoma trials from two different scientific societies, while being compliant with current data protection regulations. Linkage of the neurological and the oncological domain could successfully be demonstrated and a promising concept for secondary use of the data of both domains has been developed, proofing the broad potential of the concepts for cross-domain research as promoted in the ENCCA project.
Mining Patterns of Disease Progression: A Topic-Model-Based Approach
Authors: Zhang Lingxiao  , Zhao Junfeng  , Wang Yasha  , Xie Bing
Published: February 2025

Knowledge of how diseases progress and transform is crucial for clinical decision making. Frequent pattern mining techniques, such as sequential pattern mining (SPM) algorithms, can automatically extract such knowledge from large collections of electronic medical records (EMR). However, EMR data are usually unorganized and highly noisy. Finding meaningful disease patterns often calls for manual manipulation such as cohort and feature selection on EMR data by medical professionals. In this paper, we propose a topic-model-based SPM approach to find disease progression patterns from diagnostic records. We improve the traditional SPM algorithms by filtering and grouping the diagnosis sequences according to different clinical topics. These topics represent certain clinical conditions with closely related diagnoses, and are detected without prior medical knowledge. The experiment on real-world EMR data shows that our approach is able to find meaningful progression patterns with less noises, and can help quickly identify interesting patterns related to a certain clinical condition with less human effort.
MI-Lab – A Laboratory Environment for Medical Informatics Students
Authors: Brandt Karsten  , Löbe Matthias  , Schaaf Michael  , Jahn Franziska  , Winter Alfred  , Stäubert Sebastian
Published: February 2025

Medical research and health care highly depend on the use of information technology. There is a wide range of application systems (patient administration system, laboratory information system, communication server etc.) and heterogeneous data types (administrative data, clinical data, laboratory data, image data, genomic data etc.). Students and researchers do not often have the possibility to use productive application systems of e.g. hospitals or medical practices to gain practical experiences or examine new components and technologies. Therefore, the aim of this project is to develop a dedicated laboratory environment for patient health care and clinical research. Essential application systems were identified and a suitable architecture was designed for this purpose. It is accompanied by a teaching plan that considers learning modules for bachelor and master degrees in medical informatics. We implemented the laboratory environment called MI-Lab with multiple free and open source software components. All components are installed on virtual machines and/or Docker containers. This modular architecture creates a flexible system which can be deployed in various scenarios. The preliminary evaluation results suggests that laboratory environments like MI-Lab work well in teaching practical aspects of medical informatics and are widely accepted by students.
Shortening or Abolishing Shift Report as the Effect of ENR and EMR Implementation, and Its Side Effects
Authors: Tanaka Asami  , Nakajima Anna  , Fukuju Yuri  , Mori Natsumi  , Shimoda Mariko  , Kurihara Yukio
Published: February 2025

We investigated the shortening or abolishing shift report as the effect of implementing electronic nursing and medical records and its side effects at 10 Japanese hospitals. The majority of staff nurses accepted this change, but both directors and staff nurses recognized the risk of insufficient collection and communication of patient information, difficulties of understanding the risks and matters of patients not under care and an increase in time to collect information from the computer before starting patient care. Directors should carefully evaluate and reduce the negative influences associated with changing or eliminating the traditional shift report.
Can Big Data Solve Small Problems? Paper Use in a Paperless Hospital
Authors: Hurlen Petter  , Pedersen Janne
Published: February 2025

A “Big Data” approach was used in part to study the use of printed paper in a 700 bed paperless hospital, in part to study the usefulness of the approach. Between 1,2 and 1,5 million pages were printed each month, corresponding to 10% of a citizens' monthly paper use. The identified use of printed paper did not seem to be high compared to other organisations. The big data approach was not able to answer all our questions, primarily because we did not get log data for the source programmes for the printing. The approach could consequently not provide the data needed to reduce paper printing.
Accelerate Healthcare Data Analytics: An Agile Practice to Perform Collaborative and Reproducible Analyses
Authors: Hao Bibo  , Sun Wen  , Yu Yiqin  , Li Jing  , Hu Gang  , Xie Guotong
Published: February 2025

Recent advances in cloud computing and machine learning made it more convenient for researchers to gain insights from massive healthcare data, while performing analyses on healthcare data in current practice still lacks efficiency for researchers. What's more, collaborating among different researchers and sharing analysis results are challenging issues. In this paper, we developed a practice to make analytics process collaborative and analysis results reproducible by exploiting and extending Jupyter Notebook. After applying this practice in our use cases, we can perform analyses and deliver results with less efforts in shorter time comparing to our previous practice.
MapReduce in the Cloud: A Use Case Study for Efficient Co-Occurrence Processing of MEDLINE Annotations with MeSH
Authors: Kreuzthaler Markus  , Miñarro-Giménez Jose Antonio  , Schulz Stefan
Published: February 2025

Big data resources are difficult to process without a scaled hardware environment that is specifically adapted to the problem. The emergence of flexible cloud-based virtualization techniques promises solutions to this problem. This paper demonstrates how a billion of lines can be processed in a reasonable amount of time in a cloud-based environment. Our use case addresses the accumulation of concept co-occurrence data in MEDLINE annotation as a series of MapReduce jobs, which can be scaled and executed in the cloud. Besides showing an efficient way solving this problem, we generated an additional resource for the scientific community to be used for advanced text mining approaches.
Post-Implementation Study of a Nursing e-Chart: How Nurses Use Their Time
Authors: Schachner Bibiana  , González Zulma  , Recondo Francisco  , Sommer Janine  , Luna Daniel  , García Gabriela  , Benítez Sonia
Published: February 2025

Nursing documentation is a significant component of electronic health records nevertheless integrating a new chart into nursing activities required multiples strategies to ensure adherence. Current literature demonstrates that nurses spend part of their time performing activities no related with patients' direct care and sometimes even does not fall under their purview. Thus it is important to quantify the effect that a new system could have in the proportion of time dedicated to documentation. The objective of this work was to determine the time dedicated to different activities including those related to electronic documentation after the implementation of a renewed nurse chart in an Electronic Health Record at Hospital Italiano de Buenos Aires. An observational, cross sectional and work sampling study was performed. During the study 2396 observations were made in 3 wards. Nurses' activities included 36.09% of direct care, 28.9% of indirect care, 0.67% support tasks, 22.99% non related to patient tasks, 11.32% personal activities and documenting on EHR 17.43%. The comparison with the previous study shows indirect care activities decreased 12.28% and non-related to patients increased 11.85%. The results demonstrate that the new nurses' e-chart did not increase documentation time.
Health Professionals' Use of Online Information Retrieval Systems and Online Evidence
Authors: Lialiou Paschalina  , Pavlopoulou Ioanna  , Mantas John
Published: February 2025

Across-sectional survey was designed to determine health professionals' awareness and usage of online evidence retrieval systems in clinical practice. A questionnaire was used to measure professionals' behavior and utilization of online evidences, as well as, reasons and barriers on information retrieval. 439 nurses and physicians from public and private hospitals in Greece formulate the study's sample. The two most common reasons that individuals are using online information systems were for writing scientific manuscripts or filling a knowledge gap. A positive correlation was found between participants with postgraduate studies and information system usage. The majority of them (90,6%) believe that online information systems improves patient care and 67,6% of them had their own experiences on this. More support is needed to nurses and physicians in order to use the online evidence and as a result to improve the provided care and practices.
Usability Evaluation of Clinical Guidelines on the Web Using Eye-Tracker
Authors: Khodambashi Soudabeh  , Gilstad Heidi  , Nytrø Øystein
Published: February 2025

Publishing clinical guidelines (GLs) on the web increases their accessibility. However, evaluating their usability and understanding how users interact with the websites has been neglected. In this study we used Tobii eye-tracker to analyse users' interaction with five commercial and public GL sites popular in Norway (four in Norwegian and one English of US origin (UpToDate)). We measured number of clicks and usage rate for search functions, task completion time, users' objective and perception of task success rate. We also measured learning effect for inexperienced users. We found a direct correlation between participant's satisfaction regarding website usability and the time spent, number of mouse clicks and use of search function to obtain the desired results. Our study showed that users' perceived success rate was not reliable and GL publishers should evaluate their website regarding presentation format, layout, navigation bar and search function.
Social Media User Recommendation
Authors: Kumar Sruteesh  , Sundarraj R.P.
Published: February 2025

This work aims at creating a user recommender system that recommends relevant people to follow for twitter users. We propose to use a novel topic modeling method Biterm Topic Model (BTM) to profile users into vectors of bag of words. We then propose an algorithm that uses both social network relationship information and the user-generated content modeled through BTM to recommend twitter followees. A preliminary evaluation is carried out on the implementation of this technique that shows BTM performs well in making valid recommendations to twitter users. We also found that considering both user generated content and social relationships for recommending followees helped improve the results.
Sıkışma: An Alternative Information Design Project for Ihlamur Pavilions Istanbul
Authors: Özmen Melike
Published: February 2025

Sıkışma is a transmedia information design project, which focuses on Ihlamur Pavilions and Ihlamur area. Ihlamur hosts Ihlamur Pavilions since 19th Century. It is located within Beşiktaş district in Istanbul. Nowadays the buildings belong to TBMM (The Grand National Assembly of Turkey) National Palaces and used as a Museum- Café. There is a conventional wayfinding & signage system for outdoor areas of the Pavilions. The system also includes two separate boards focusing on the history of Ihlamur and Ihlamur Pavilions. However, the information provided on these boards seems inadequate and the boards are physically damaged. According Universal Design approach it is possible to achieve good and functional design and solve the inadequacy problem by physically fixing information boards and re-setting the environment around the information boards according to Universal Design principles. Although, these principles provide solutions for important issues such as mobility, stability and accessibility, it doesn't provide sufficient proof of user engagement in terms of the creation of the content. The project Sıkışma offers an approach, which is concerned with content as with form and suggests that it is possible to infer a universal form from the content created through personal experience of the designer as a user. It is also intended to represent the past and the present through the project and to create an understanding of plausible scenarios of the unknown future in the viewers' mind.
Involving Older Adults in the Technology Design Process: A Case Study on Mobility and Wellbeing in the Built Environment
Authors: Swallow David  , Petrie Helen  , Power Christopher  , Lewis Andrew  , Edwards Alistair D.N.
Published: February 2025

Older adults benefit from unstructured, lifestyle-based activity that can be carried out in people's houses, neighbourhoods, and the built environment. Technological solutions may support physical activity and encourage wellbeing. To ensure such technology is suitable for, and usable by, older adults, it is crucial they are involved in all stages of design. Participatory design methodologies facilitate collaboration and engagement with potential users. We examine the suitability of participatory design for collaborating and engaging with older adults. Participatory design workshops were conducted with 33 older adults in the UK with the aim of designing mobile applications to support and promote physical activity and wellbeing in the built environment. As well as summarising the outcome of these workshops, the paper outlines several methodological issues relating to the suitability of participatory design for involving older adults in the technology design process.
Do Performance-Based Codes Support Universal Design in Architecture?
Authors: Grangaard Sidse  , Frandsen Anne Kathrine
Published: February 2025

The research project ‘An analysis of the accessibility requirements’ studies how Danish architectural firms experience the accessibility requirements of the Danish Building Regulations and it examines their opinions on how future regulative models can support innovative and inclusive design – Universal Design (UD). The empirical material consists of input from six workshops to which all 700 Danish Architectural firms were invited, as well as eight group interviews. The analysis shows that the current prescriptive requirements are criticized for being too homogenous and possibilities for differentiation and zoning are required. Therefore, a majority of professionals are interested in a performance-based model because they think that such a model will support ‘accessibility zoning’, achieving flexibility because of different levels of accessibility in a building due to its performance. The common understanding of accessibility and UD is directly related to buildings like hospitals and care centers. When the objective is both innovative and inclusive architecture, the request of a performance-based model should be followed up by a knowledge enhancement effort in the building sector. Bloom's taxonomy of educational objectives is suggested as a tool for such a boost. The research project has been financed by the Danish Transport and Construction Agency.
Towards a New Framework for Recursive Interactions in Abstract Bipolar Argumentation
Authors: Cayrol Claudette  , Cohen Andrea  , Lagasquie-Schiex M-Christine
Published: February 2025

This paper proposes a new framework able to take into account recursive interactions in bipolar abstract argumentation systems. We address issues such as “How an interaction can impact another one?”, or in other words “How can the validity of an interaction be affected if this interaction is attacked or supported by another one?”. Thus, building on numerous examples, a new method for flattening such recursive bipolar abstract argumentation systems (ASAF) using meta-arguments is proposed and compared with the original framework defined in [8].
I Heard You the First Time: Debate in Cacophonous Surroundings
Authors: Dunne Paul E.
Published: February 2025

One often finds in debate involving agents strongly committed to their positions, that argument is promoted not through a rational measured exchange of views but rather through stridency and clamour as proponents try to shout down or otherwise suppress their opponents' opinions. While the presence of moderators may go some way to alleviating the effects of such approaches one has the problems of moderators being ignored and the environment being of a nature that makes the appointment of such infeasible. In this article our concern is, in the first instance, to examine the extent to which an environment where argument is pursued through these means can be modelled. Within this model, we briefly review what techniques may be adopted by participants looking to present their own stance with minimal effort and maximal impact.
On ASPIC
Authors: Lam Ho-Pun  , Governatori Guido  , Riveret Régis
Published: February 2025

Dung-like argumentation framework ASPIC+and Defeasible Logic (DL) arebothwell-studiedrule-basedformalismsfordefeasiblereasoning.Wecomparethe two frameworks and establish a linkage between an instantiation of ASPIC+and a DL variant, which leads to a better understanding and cross-fertilization – in particular our work sheds light on features such as ambiguity propagating/blocking, team defeat and strict rules for argumentation, while emphasizing the argumentation-theoretic features of DL.
A Heuristic Strategy for Persuasion Dialogues
Authors: Murphy Josh  , Black Elizabeth  , Luck Michael
Published: February 2025

Argument-based persuasion dialogues provide an effective mechanism for agents to communicate their beliefs, and their reasons for those beliefs, in order to convince another agent of some topic argument. In such dialogues, the persuader has strategic considerations, and must decide which of its known arguments should be asserted, and the order in which they should be asserted. Recent works consider mechanisms for determining an optimal strategy for persuading the responder. However, computing such strategies is expensive, swiftly becoming impractical as the number of arguments increases. In response, we present a strategy that uses heuristic information of the domain arguments and can be computed with high numbers of arguments. Our results show that not only is the heuristic strategy fast to compute, it also performs significantly better than a random strategy.
Computational Persuasion with Applications in Behaviour Change
Authors: Hunter Anthony
Published: February 2025

Persuasion is an activity that involves one party trying to induce another party to believe something or to do something. It is an important and multifaceted human facility. Obviously, sales and marketing is heavily dependent on persuasion. But many other activities involve persuasion such as a doctor persuading a patient to drink less alcohol, a road safety expert persuading drivers to not text while driving, or an online safety expert persuading users of social media sites to not reveal too much personal information online. As computing becomes involved in every sphere of life, so too is persuasion a target for applying computer-based solutions. An automated persuasion system (APS) is a system that can engage in a dialogue with a user (the persuadee) in order to persuade the persuadee to do (or not do) some action or to believe (or not believe) something. To do this, an APS aims to use convincing arguments in order to persuade the persuadee. Computational persuasion is the study of formal models of dialogues involving arguments and counterarguments, of user models, and strategies, for APSs. A promising application area for computational persuasion is in behaviour change. Within healthcare organizations, government agencies, and non-governmental agencies, there is much interest in changing behaviour of particular groups of people away from actions that are harmful to themselves and/or to others around them.
A Methodology for Maintaining Consistency Between Conceptual Interpretations of Nested Partitions
Authors: Sevilla-Villanueva Beatriz  , Gibert Karina  , Sànchez-Marrè Miquel
Published: February 2025

The relationship between interpretations of nested partitions is analyzed in this work, since there are multiple situations where a refinement of the original partition arises. As a result, a new methodology NCI-IMS is proposed in order to maintain the consistency between interpretations of nested partitions. This methodology extends a previous methodology that obtains classes' descriptors by determining the significance's robustness of the characteristics significance. Then, NCI-IMS takes advantage of the descriptors robustness obtaining a deeper analysis of the relations between superclass's and subclasses' descriptors.
Link Prediction in Evolutionary Graphs
Authors: Adrian Kemo  , Chocron Paula  , Confalonieri Roberto  , Ferrer Xavier  , Giráldez-Cru Jesús
Published: February 2025

Studying the prediction of new links in evolutionary networks is a captivating question that has received the interest of different disciplines. Link prediction allows to extract missing information and evaluate network dynamics. Some algorithms that tackle this problem with good performances are based on the sociability index, a measure of node interactions over time. In this paper, we present a case study of this predictor in the evolutionary graph that represents the CCIA co-authorship network from 2005 to 2015. Moreover, we present a generalized version of this sociability index, that takes into account the time in which such interactions occur. We show that this new index outperforms existing predictors. Finally, we use it in order to predict new co-authorships for CCIA 2016.
Can Deep Learning and Egocentric Vision for Visual Lifelogging Help Us Eat Better?
Authors: Radeva Petia
Published: February 2025

The analysis of people's nutrition habits is one of the most important mechanisms for applying a thorough monitorisation of several medical conditions (e.g. diabetes, obesity, etc.) that affect a high percentage of the global population. Methods for automatically logging one's meals could not only make the process easier, but also make it objective to the user's point of view and interpretability. One of the solutions adopted recently that could ease the automatic construction of nutrition diaries is to ask individuals to take photos with their mobile phones. An alternative technique is visual lifelogging that consists of using a wearable camera that automatically captures pictures from the user point of view (egocentric point of view) with the aim to analyse different patterns of his/her daily life and extract highly relevant information like nutritional habits. In this talk we will show how deep learning applied to the food detection and food recognition problems can help to automatically infer the user's eating pattern.
Universal Dependency Treebank for Latvian: A Pilot
Authors: Pretkalniņa Lauma  , Rituma Laura  , Saulīte Baiba
Published: February 2025

In this paper we present the first Universal Dependency Treebank for Latvian. Latvian UD Treebank contains approx. 1 thousand sentences. It has been created from Latvian Treebank newswire texts with the help of an automatic conversion. This resource is an important prerequisite for integrating Latvian in various international language processing frameworks and making Latvian data more welcoming to international researchers. This paper also includes an analysis of the main conversion problems and describes known discrepancies between annotations in Latvian UD Treebank and Universal Dependency annotation guidelines.
“Integrative Social Robotics” – A New Method Paradigm to Solve the Description Problem And the Regulation Problem?
Authors: Seibt Johanna
Published: February 2025

The aim of this paper is to sketch the basic motivations for “Integrative Social Robotics” (ISR), as a new paradigm for how to approach research, design, and development of social robotics applications that are culturally sustainable. I argue that social robotics saddles us with normative-regulatory and descriptive questions that currently are kept too far apart. Currently HRI research investigates what social robots can do and robo-ethicists deliberate afterwards what robots should do. However, given the rapid pace of the robotics industry, descriptive and regulatory questions must be treated in combination. On the ISR approach research in social robotics turns on what social robots can and should do–design and development are from the very beginning informed by value-theoretic and cultural research. ISR thus is a form of research organization that integrates robotics with empirical, conceptual, and value-theoretic research in the Humanities, the Social Sciences, and the Human Sciences. The resulting paradigm is user-driven design writ large: research, design, and development of social robotics applications are guided—with multiple feedback—by the reflected normative preferences of a cultural community.
The Role of Phronesis in Robot Ethics
Authors: Gerdes Anne
Published: February 2025

The Aristotelian concept of phronesis captures the kind of situated knowledge, which is needed in order for us to understand and act morally in the specific situations in which we find ourselves. On this background, it is discussed whether an ‘as if’ version of phronesis, understood as situational awareness, might enable us to design a virtuous robot with ‘as if’ capabilities of the phronimos. It is argued that eventually we might see this kind of virtuous robot, but its ‘as if’ qualities would not be sufficient for the virtuous robot to count as an ethical agent, since phronesis is presumably not computationally tractable.
What Your Computer Still Can't Know: A Refutation of Bringsjord's Refutation of Searle's Refutation of Bostrom and Floridi
Authors: Pietarinen Ahti-Veikko
Published: February 2025

I refute Bringsjord's attempted refutation of Searle, who has argued against two recent visions: Bostrom's super-intelligence (post-humanism) and Floridi's info-spheres (information revolution). My refutation derives from the impossibility of Turing machines to compute consequential information not linked with observations of its output. Placing post-humanism and information revolution under a philosophical perspective leads to an identification of an unspoken presupposition in both: universalism of meaning. A philosophical theory of information needs a semiotic theory of signs and representations that take information to be a property of signs that are linked with their interpreting minds.
I Am Her(e): Physical/Cognitive Robots and Human Intimacy in the Imagery of Spike Jonze's Movies
Authors: Barile Nello  , Sugiyama Satomi
Published: February 2025

Robotics has made its entry into the sphere of intimacy, thus our notion of intimacy will need to play a central role when we consider the future direction of social robotics. The aim of this on-going research project is to understand the emotional relationship between human and artificial agents, and furthermore, to reflect upon the effects of social robotics on the quality of human intimacy. Our methodological approach consists in a combination of film analysis and qualitative interview. In this paper, we offer brief analyses of the films that are specifically concerned with the theme of love, intimacy, and romance in relation to robots and non-physical artificial agents. Two films were selected for this purpose: Her and I am Here, both of which were produced by Spike Jonze. We then propose a working theoretical framework that guides our future empirical studies.
We, Anthrobot: Learning from Human Forms of Interaction and Esprit de Corps to Develop More Plural Social Robotics
Authors: de Miranda Luis  , Ramamoorthy Subramanian  , Rovatsos Michael
Published: February 2025

We contend that our relationship with robots is too often seen within a universalistic and individualistic mind-frame. We propose a specific perspective in social robotics that we call anthrobotics. Anthrobotics starts with the choice to consider the human-machine intertwining as a dynamic union of more or less institutionalised collectives rather than separated discrete realities (individual humans, on one side, and discrete individualised machines on the other). We draw on our research in types of social interaction and esprit de corps to imagine more plural and harmonious forms of shared natural-artificial cognitive systems. We propose to look at four types of organised groups: conformative, autonomist, creative, and universalistic, that may provide guiding principles for the design of more diverse anthrobots.
“If It's Not Broken, Don't Fix It?” An Inquiry Concerning the Understanding of Child-Robot Interaction
Authors: Jones Raya A.
Published: February 2025

Ethical standpoints regarding robots for children are polarized, yet there is insufficient evidence to substantiate either position. This is compounded by the multiplicity of lenses through which child-robot interactions are investigated. This paper explores implications for translating knowledge from robotics to developmental psychology. The concept of a ‘care-receiving robot’ is a case in point, favorably reviewed here though the manner of its testing discloses the need for a conceptual framework that takes into robotics, processes of child development, sociocultural expectancies about optimal development, and factors affecting research priorities.
An Integrated Patient Information and In-Home Health Monitoring System Using Smartphones and Web Services
Authors: Sorwar Golam  , Ali Mortuza  , Islam Md. Kamrul  , Miah Mohammad Selim
Published: February 2025

Modern healthcare systems are undergoing a paradigm shift from in-hospital care to in-home monitoring, leveraging the emerging technologies in the area of bio-sensing, wireless communication, mobile computing, and artificial intelligence. In-home monitoring promises to significantly reduce healthcare spending by preventing unnecessary hospital admissions and visits to healthcare professionals. Most of the in-home monitoring systems, proposed in the literature, focus on monitoring a set of specific vital signs. However, from the perspective of caregivers it is infeasible to maintain a collection of specialized monitoring systems. In this paper, we view the problem of in-home monitoring from the perspective of caregivers and present a framework that supports various monitoring capabilities while making the complexity transparent to the end users. The essential idea of the framework is to define a ‘general purpose architecture’ where the system specifies a particular protocol for communication and makes it public. Then any bio-sensing system can communicate with the system as long as it conforms to the protocol. We then argue that as the system grows in terms of number of patients and bio-sensing systems, artificial intelligence technologies need to be employed for patients' risk assessment, prioritization, and recommendation. Finally, we present an initial prototype of the system designed according to the proposed framework.
Cost and Time Effectiveness Analysis of a Telemedicine Service in Bangladesh
Authors: Sorwar Golam  , Rahamn Md. Mustafizur  , Uddin Ramiz  , Hoque Md. Rakibul
Published: February 2025

Telemedicine has great potential to overcome geographical barriers to providing access to equal health care services, particularly for people living in remote and rural areas in developing countries like Bangladesh. A number of telemedicine systems have been implemented in Bangladesh. However, no significant studies have been conducted to determine either their cost effectiveness or efficiency in reducing travel time required by patients. In addition, very few studies have analyzed the attitude and level of satisfaction of telemedicine service recipients in Bangladesh. The aim of this study was to analyze the cost and time effectiveness of a telemedicine service, implemented through locally developed PC based diagnostic equipment and software in Bangladesh, compared to conventional means of providing those services. The study revealed that the introduced telemedicine service reduced cost and travel time on average by 56% and 94% respectively compared to its counterpart conventional approach. The study also revealed that majority of users were highly satisfied with the newly introduced telemedicine service. Therefore, the introduced telemedicine service can be considered as a low cost and time efficient health service solution to improve health care facilities in the remote rural areas in Bangladesh.
Reviewing the Evidence: In Pursuit of a Framework for Parkinson Disease Rehabilitation with Games
Authors: Tece Bayrak Aslihan  , Wünsche Burkhard  , Lutteroth Christof
Published: February 2025

Exercise gaming has been receiving a significant interest from both consumers and researchers. Be it for the purposes of weight loss, physical fitness or even just enjoyment, the potential of games to support rehabilitation has also been under investigation for a while. Due to our aging society, game based therapies could be a solution for optimizing resources and reducing rehabilitation costs. This paper aims to discuss the potential capacity of games as systems to enhance the relation of physical exercise and cognition for the rehabilitation of Parkinson Disease. Our investigation demonstrates that there is no established methodology for games in rehabilitation of Parkinson's addressing how games can encapsulate physical exercise strategies while providing safety, continuous monitoring and cognitive development exercises in facilitation of rehabilitation. Since rehabilitation with games is trending, yet to be developed rehabilitation strategies would benefit from new insights into the relationship between game worlds, physical exercise and motor-cognitive training. Therefore, it is useful to do further research into realizing (1) a relational model that demonstrates the relation between game world (composed of game features including formal game elements, audio-visual features, mechanics and dynamics), motor skills, cognition and physical exercise for both generic and specific rehabilitation purposes, (2) a structured task creation approach for game features that reconciles specific rehabilitation outcomes, correct level of engagement, task difficulty and safety requirements for target demographic.
Building of Concept System to Improve Systematic Collection of Terminology
Authors: Arnicane Vineta  , Arnicans Guntis  , Borzovs Juris
Published: February 2025

Authors propose an experimental tool for analysis and graphical representation of glossaries. The original heuristic algorithms and analysis methods incorporated into the tool GlossToolset appeared to be useful to improve the quality of the glossaries. The GlossToolset generates concept system with various representations. Authors analyze a glossary ISTQB Standard Glossary of Terms Used in Software Testing. There are instances of problems found in ISTQB glossary related to its consistency, completeness, and correctness described in the paper.
Extracting OWL Ontologies from Relational Databases Using Data Analysis and Machine Learning
Authors: Al Khuzayem Lama  , McBrien Peter
Published: February 2025

Extracting OWL ontologies from relational databases is extremely helpful for realising the Semantic Web vision. However, most of the approaches in this context often drop many of the expressive features of OWL. This is because highly expressive axioms can not be detected from database schema alone, but instead require a combined analysis of the database schema and data. In this paper, we present an approach that transforms a relational schema to a basic OWL schema, and then enhances it with rich OWL 2 constructs using schema and data analysis techniques. We then rely on the user for the verification of these features. Furthermore, we apply machine learning algorithms to help in ranking the resulting features based on user supplied relevance scores. Testing our tool on a number of databases demonstrates that our proposed approach is feasible and effective.