From individual characters to large crowds: augmenting the believability of open-world games through exploring social emotion in pedestrian groups

Crowds of non-player characters improve the game-play experiences of open-world video-games. Grouping is a common phenomenon of crowds and plays an important role in crowd behaviour. Recent crowd simulation research focuses on group modelling in pedestrian crowds and game-designers have argued that the design of non-player characters should capture and exploit the relationship between characters. The concepts of social groups and inter-character relationships are not new in social psychology, and on-going work addresses the social life of emotions and its behavioural consequences on individuals and groups alike. The aim of this paper is to provide an overview of current research in social psychology, and to use the findings as a source of inspiration to design a social network of non-player characters, with application to the problem of group modelling in simulated crowds in computer games

A framework for quantitative analysis of user-generated spatial data

This paper proposes a new framework for automated analysis of game-play metrics for aiding game designers in finding out the critical aspects of the game caused by factors like design modications, change in playing style, etc. The core of the algorithm measures similarity between spatial distribution of user generated in-game events and automatically ranks them in order of importance. The feasibility of the method is demonstrated on a data set collected from a modern, multiplayer First Person Shooter, together with application examples of its use. The proposed framework can be used to accompany traditional testing tools and make the game design process more efficient

An analysis of UK Policing Engagement via Social Media

Police forces in the UK make use of social media to communicate and engage with the public. However, while guidance reports claim that social media can enhance the accessibility of policing organisations, research studies have shown that exchanges between the citizens and the police tend to be infrequent. Social media usually act as an extra channel for delivering messages, but not as a mean for enabling a deeper engagement with the public. This has led to a phenomena where police officers and staff started to use social media in a personal capacity in the aim of getting closer to the public. In this paper, we aim to understand what attracts citizens to engage with social media policing content, from corporate as well as from non-corporate accounts. Our approach combines learnings from existing theories and studies on user engagement as well as from the analysis of 1.5 Million posts from 48 corporate and 2,450 non-corporate Twitter police accounts. Our results provide police-specific guidelines on how to improve communication to increase public engagement and participation

A Framework for Symmetric Part Detection in Cluttered Scenes

The role of symmetry in computer vision has waxed and waned in importance during the evolution of the field from its earliest days. At first figuring prominently in support of bottom-up indexing, it fell out of favor as shape gave way to appearance and recognition gave way to detection. With a strong prior in the form of a target object, the role of the weaker priors offered by perceptual grouping was greatly diminished. However, as the field returns to the problem of recognition from a large database, the bottom-up recovery of the parts that make up the objects in a cluttered scene is critical for their recognition. The medial axis community has long exploited the ubiquitous regularity of symmetry as a basis for the decomposition of a closed contour into medial parts. However, today's recognition systems are faced with cluttered scenes, and the assumption that a closed contour exists, i.e. that figure-ground segmentation has been solved, renders much of the medial axis community's work inapplicable. In this article, we review a computational framework, previously reported in Lee et al. (2013), Levinshtein et al. (2009, 2013), that bridges the representation power of the medial axis and the need to recover and group an object's parts in a cluttered scene. Our framework is rooted in the idea that a maximally inscribed disc, the building block of a medial axis, can be modeled as a compact superpixel in the image. We evaluate the method on images of cluttered scenes.Comment: 10 pages, 8 figure

A radio air shower surface detector as an extension for IceCube and IceTop

The IceCube neutrino detector is built into the Antarctic ice sheet at the South Pole to measure high energy neutrinos. For this, 4800 photomultiplier tubes (PMTs) are being deployed at depths between 1450 and 2450 meters into the ice to measure neutrino induced charged particles like muons. IceTop is a surface air shower detector consisting of 160 Cherenkov ice tanks located on top of IceCube. To extend IceTop, a radio air shower detector could be built to significantly increase the sensitivity at higher shower energies and for inclined showers. As air showers induced by cosmic rays are a major part of the muonic background in IceCube, IceTop is not only an air shower detector, but also a veto to reduce the background in IceCube. Air showers are detectable by radio signals with a radio surface detector. The major emission process is the coherent synchrotron radiation emitted by e+ e- shower particles in the Earths magnetic field (geosynchrotron effect). Simulations of the expected radio signals of air showers are shown. The sensitivity and the energy threshold of different antenna field configurations are estimated.Comment: 4 pages, 6 figures, to be published in Proceedings of the 30th International Cosmic Ray Conferenc

Lift-share using mobile apps in tourism: the role of trust, sense of community and existing lift-share practices

This paper explores the use of mobile technology to enable lift-share in the leisure travel domain of camping tourism. Here mobile devices can connect a user community on the move undertaking non-routine trips and reveal temporal and spatial connections suggesting lift-share opportunities. Data were derived from a questionnaire survey (n=339) administered at campsites in a rural tourism destination in Dorset, UK. Analysis focuses on the role of trust, sense of community and existing lift-share practices in willingness to engage in lift-share and other forms of share use of private vehicles using a mobile app. The findings indicate that previous experience of lift-share and sense of community both have a small effect, however, trust had no effect on the desire to lift-share. Analysis indicates trust is generated through community participation rather than being a precursor to taking part. Lift-share app developers and providers need to design strategies which build trust in the system using peer-to-peer ratings, where appropriate, and establishing user etiquette through user champions and visualising successful exchanges

A scoping review of psychological interventions and outcomes for avoidant and restrictive food intake disorder (ARFID)

OBJECTIVE: This scoping review identifies and describes psychological interventions for avoidant restrictive food intake disorder (ARFID) and summarizes how outcomes are measured across such interventions. METHOD: Five databases (Cochrane, Embase, Medline, PsycInfo, Web of Science) were searched up to December 22, 2022. Studies were included if they reported on psychological interventions for ARFID. Studies were excluded if participants did not have an ARFID diagnosis and if psychological interventions were not delivered or detailed. RESULTS: Fifty studies met inclusion criteria; almost half were single-case study designs (23 studies) and most studies reported on psychological interventions for children and adolescents with ARFID (42 studies). Behavioral interventions (16 studies), cognitive-behavioral therapy (10 studies), and family therapy (5 studies), or combinations of these therapeutic approaches (19 studies) were delivered to support patients with ARFID. Many studies lacked validated measures, with outcomes most commonly assessed via physical health metrics such as weight. DISCUSSION: This review provides a comprehensive summary of psychological interventions for ARFID since its introduction to the DSM-5. Across a range of psychological interventions and modalities for ARFID, there were common treatment components such as food exposure, psychoeducation, anxiety management, and family involvement. Currently, studies reporting on psychological interventions for ARFID are characterized by small samples and high levels of heterogeneity, including in how outcomes are measured. Based on reviewed studies, we outline suggestions for clinical practice and future research. PUBLIC SIGNIFICANCE: Avoidant restrictive food intake disorder (ARFID) is an eating disorder characterized by avoidance or restriction of food due to fear, sensory sensitivities, and/or a lack of interest in food. We reviewed the literature on psychological interventions for ARFID and the outcomes used to measure change. Several psychological interventions have been developed and applied to patients with ARFID. Outcome measurement varies widely and requires further development and greater consensus

Functional Brain Network Characterization and Adaptivity during Task Practice in Healthy Volunteers and People with Schizophrenia1

Cognitive remediation involves task practice and may improve deficits in people suffering from schizophrenia, but little is known about underlying neurophysiological mechanisms. In people with schizophrenia and controls, we used magnetoencephalography (MEG) to examine accuracy and practice-related changes in parameters indexing neural network structure and activity, to determine whether these might be useful assays of the efficacy of cognitive remediation. Two MEG recordings were acquired during performance of a tone discrimination task used to improve the acuity of auditory processing, before and after ∼2.5 h of task practice. Accuracy before practice was negatively correlated with beta-band cost efficiency, a graph theoretical measure of network organization. Synthetic aperture magnetometry was used to localize brain oscillations with high spatial accuracy; results demonstrated sound and sensorimotor modulations of the beta band in temporo-parietal regions and the sensorimotor cortex respectively. High-gamma activity also correlated with sensorimotor processing during the task, with activation of auditory regions following sound stimulation, and activation of the left sensorimotor cortex preceding the button press. High-gamma power in the left frontal cortex was also found to correlate with accuracy. Following practice, sound-induced broad-band power in the left angular gyri increased. Accuracy improved and was found to correlate with increased mutual information (MI) between sensors in temporal–parietal regions in the beta band but not global cost efficiency. Based on these results, we conclude that hours of task practice can induce meso-scale changes such as increased power in relevant brain regions as well as changes in MI that correlate with improved accuracy