Spotting the difference : identifying player opponent preferences in FPS games

This paper describes a study designed to understand player responses to artificially intelligent opponents in multi-player First Person Shooter games. It examines the player's ability to tell the difference between artificially intelligent opponents and other human players, and investigates the players' perceptions of these opponents. The study examines player preferences in this regard and identifies the significance of the cues and signs players use to categorise an opponent as artificial or human.

Understanding player threat responses in FPS games

This paper describes the results of a study designed to understand the components contributing to a participant's assessment of threatening situations in a competitive First Person Shooter (FPS) game Quake III: Arena. The analysis process described compares theoretical, questionnaire based data with that of actual game play footage and identifies how skill and experience can affect a player's ability to accurately assess threat. This research also identifies relationships between variables contributing to a participant's threat assessment process which are not usually acknowledged in game AI design. A suggestion for integrating player-like threat based decision making processes is proposed.

ThreatBot: A new model for improving FPS experiences with bots

This work is focused on the player experience and the design of artificial intelligence (AI) to meet player expectations in a competitive video game context. The original contribution of this research is a new approach to designing games and AI opponents that are more enjoyable for players to interact with, particularly in First Person Shooter (FPS) video games. This approach is modeled in detail and implemented in a prototype game AI called ThreatBot. The results show that the new AI design is more enjoyable to compete against, particularly with regards to player's perceived levels of competence.

Learning Landscapes 2.0: Adaptable educational environments

This project has blended two streams of enquiry: temporary and transportable construction technology, and flexible blended-learning environments. It seeks to develop prototypes for a series of environments suited for the activities of learning (future-proofed schools), as practiced in the twenty first century. The research utilises techniques of: historic survey, case study, first-hand observation, and architectural design (as research). The design comprises three major components: The determinate landscape: in-situ concrete ‘plate’ that is permanent. The indeterminate landscape: a kit of pre-fabricated 2-D panels assembled in a unique manner at each site to suit the client and context; manufactured to the principles of design-for-disassembly. The stations: pre-fabricated packages of highly-serviced space connected through the determinate landscape. This project was submitted to the ‘Future Proofing Schools’ competition (professional category) in October 2011. The competition was part of a research project supported under the Australian Research Council’s Linkage Grant funding scheme (project LP0991146).

Predictors of re-epithelialization in pediatric burn

INTRODUCTION An important treatment goal for burn wounds is to promote early wound closure. This study identifies factors associated with delayed re-epithelialization following pediatric burn. METHODS Data were collected from August 2011 to August 2012, at a pediatric tertiary burn center. A total of 106 burn wounds were analyzed from 77 participants aged 4-12 years. Percentage of wound re-epithelialization at each dressing change was calculated using Visitrak. Mixed effect regression analysis was performed to identify the demographic factors, wound and clinical characteristics associated with delayed re-epithelialization. RESULTS Burn depth determined by laser Doppler imaging, ethnicity, pain scores, total body surface area (TBSA), mechanism of injury and days taken to present to the burn center were significant predictors of delayed re-epithelialization, accounting for 69% of variance. Flame burns delayed re-epithelialization by 39% compared to all other mechanisms (p=0.003). When initial presentation to the burn center was on day 5, burns took an average of 42% longer to re-epithelialize, compared to those who presented on day 2 post burn (p<0.000). Re-epithelialization was delayed by 14% when pain scores were reported as 10 (on the FPS-R), compared to 4 on the first dressing change (p=0.015) for children who did not receive specialized preparation/distraction intervention. A larger TBSA was also a predictor of delayed re-epithelialization (p=0.030). Darker skin complexion re-epithelialized 25% faster than lighter skin complexion (p=0.001). CONCLUSIONS Burn depth, mechanism of injury and TBSA are always considered when developing the treatment and surgical management plan for patients with burns. This study identifies other factors influencing re-epithelialization, which can be controlled by the treating team, such as effective pain management and rapid referral to a specialized burn center, to achieve optimal outcomes.

Play and heal : randomized controlled trial of Ditto intervention efficacy on improving re-epithelialization in pediatric burns

BACKGROUND: The relationships between pain, stress and anxiety, and their effect on burn wound re-epithelialization have not been well explored to-date. The aim of this study was to investigate the effect of the Ditto (a hand-held electronic medical device providing procedural preparation and distraction) intervention on re-epithelialization rates in acute pediatric burns. METHODS/DESIGN: From August 2011 to August 2012, children (4-12 years) with an acute burn presenting to the Royal Children's Hospital, Brisbane, Australia fulfilled the study requirements and were randomized to [1] Ditto intervention or [2] standard practice. Burn re-epithelialization, pain intensity, anxiety and stress measures were obtained at every dressing change until complete wound re-epithelialization. RESULTS: One hundred and seventeen children were randomized and 75 children were analyzed (n=40 standard group; n=35 Ditto group). Inability to predict wound management resulted in 42 participants no longer meeting the eligibility criteria. Wounds in the Ditto intervention group re-epithelialized faster than the standard practice group (-2.14 days (CI: -4.38 to 0.10), p-value=0.061), and significantly faster when analyses were adjusted for mean burn depth (-2.26 days (CI: -4.48 to -0.04), p-value=0.046). Following procedural preparation at the first change of dressing, the Ditto group reported lower pain intensity scores (-0.64 (CI: -1.28, 0.01) p=0.052) and lower anxiety ratings (-1.79 (CI: -3.59, 0.01) p=0.051). At the second and third dressing removals average pain (FPS-R and FLACC) and anxiety scores (VAS-A) were at least one point lower when Ditto intervention was received. CONCLUSIONS: The Ditto procedural preparation and distraction device is a useful tool alongside pharmacological intervention to improve the rate of burn re-epithelialization and manage pain and anxiety during burn wound care procedures.

A gray-box neural network-based model identification and fault estimation scheme for nonlinear dynamic systems

A novel gray-box neural network model (GBNNM), including multi-layer perception (MLP) neural network (NN) and integrators, is proposed for a model identification and fault estimation (MIFE) scheme. With the GBNNM, both the nonlinearity and dynamics of a class of nonlinear dynamic systems can be approximated. Unlike previous NN-based model identification methods, the GBNNM directly inherits system dynamics and separately models system nonlinearities. This model corresponds well with the object system and is easy to build. The GBNNM is embedded online as a normal model reference to obtain the quantitative residual between the object system output and the GBNNM output. This residual can accurately indicate the fault offset value, so it is suitable for differing fault severities. To further estimate the fault parameters (FPs), an improved extended state observer (ESO) using the same NNs (IESONN) from the GBNNM is proposed to avoid requiring the knowledge of ESO nonlinearity. Then, the proposed MIFE scheme is applied for reaction wheels (RW) in a satellite attitude control system (SACS). The scheme using the GBNNM is compared with other NNs in the same fault scenario, and several partial loss of effect (LOE) faults with different severities are considered to validate the effectiveness of the FP estimation and its superiority.

Imaging intracellular protein dynamics by spinning disk confocal microscopy

The palette of fluorescent proteins (FPs) has grown exponentially over the past decade, and as a result, live imaging of cells expressing fluorescently tagged proteins is becoming more and more mainstream. Spinning disk confocal (SDC) microscopy is a high-speed optical sectioning technique and a method of choice to observe and analyze intracellular FP dynamics at high spatial and temporal resolution. In an SDC system, a rapidly rotating pinhole disk generates thousands of points of light that scan the specimen simultaneously, which allows direct capture of the confocal image with low-noise scientific grade-cooled charge-coupled device cameras, and can achieve frame rates of up to 1000 frames per second. In this chapter, we describe important components of a state-of-the-art spinning disk system optimized for live cell microscopy and provide a rationale for specific design choices. We also give guidelines of how other imaging techniques such as total internal reflection microscopy or spatially controlled photoactivation can be coupled with SDC imaging and provide a short protocol on how to generate cell lines stably expressing fluorescently tagged proteins by lentivirus-mediated transduction.