Innovative learning in action (ILIA) issue three: Employability, enterprise & entrepreneurship

The theme of the 3rd issue of ILIA is Employability, Enterprise and Entrepreneurship, reflecting the University of Salford’s Learning and Teaching Strategy and our Goal “To produce graduates with the skills, creativity, confidence and adaptability to succeed in the labour market and make a meaningful contribution to society”. The creativity, problem solving and change orientation this implies recognizes Salford’s distinctive strengths in this regard, and provides us with a conceptualization of employability which embraces enterprise and entrepreneurship, manifest in the form of selfemployment, but equally relevant to those working within organizations i.e. to intrapreneurship. The contributions to this edition provide us with examples of excellent practice demonstrating how practitioners at Salford have responded to the challenge of providing a quality learning experience for our students. Consideration of the papers and snapshots reveal how colleagues have embedded employability into teaching and learning and assessment strategies, and into frameworks of student support, in differing and innovative ways, across the institution. As this edition of ILIA goes to print work is underway to develop an Employability Policy and Strategy for the University. Designed to provide a coherent and progressive approach to Employability, Enterprise and Careers Education and Guidance, this Strategy will be able to build on the good practice evident both in this edition of ILIA and across the institution. ILIA therefore has once again provided us with a range of perspectives on a key area of curriculum design and development. It also has provided an opportunity to reflect on practice and student learning, to share experience and hopefully to identify future areas for collaboration

Android App for Argo Floats

INCOIS has deployed more than 400 Argo floats till now and soon reaching a special milestone of 500 Indian Argo floats. In this context there is a necessity to have a unique application by which scientists can effectively and efficiently track all the information of these floats and also monitor the active floats among them regularly. The present work describes about an Android application or app which eases the work of researchers to track the information of these Argo floats as well as monitor them regularly. This app is designed and developed to give all the information related to Argo floats like its various types, its deployed positions, its current positions, its functionality, search option, etc., in the form of maps and charts in turn uses real time data to give latest status of Argo floats. In addition to it, this app is also useful in advising the scientists involved in Argo program about the floats in danger of getting grounded or beached that need immediate attention. This app is a very useful tool for the scientists to check the current status of Argo floats from anywhere or anytime using a smart phone

Interactive Software for Guitar Learning

In this paper we present software designed to help address problems encountered by beginning guItarists, using interactive software to find effective solutions to enhance the learning process. Software can be utilised to improve a player's ability tdhear mistakes in theIr performance, as well as to create a fun and entertaining learning environment 'to motivate the player to practice. A software prototype ~~s been developed, which served as a basIs for usabllzty testmg, to highlight the usefulness of vari~us methods of feedback and provide a way forward in developing valuable software for guitar tuition

NON-VERBAL COMMUNICATION WITH PHYSIOLOGICAL SENSORS. THE AESTHETIC DOMAIN OF WEARABLES AND NEURAL NETWORKS

Historically, communication implies the transfer of information between bodies, yet this phenomenon is constantly adapting to new technological and cultural standards. In a digital context, it’s commonplace to envision systems that revolve around verbal modalities. However, behavioural analysis grounded in psychology research calls attention to the emotional information disclosed by non-verbal social cues, in particular, actions that are involuntary. This notion has circulated heavily into various interdisciplinary computing research fields, from which multiple studies have arisen, correlating non-verbal activity to socio-affective inferences. These are often derived from some form of motion capture and other wearable sensors, measuring the ‘invisible’ bioelectrical changes that occur from inside the body. This thesis proposes a motivation and methodology for using physiological sensory data as an expressive resource for technology-mediated interactions. Initialised from a thorough discussion on state-of-the-art technologies and established design principles regarding this topic, then applied to a novel approach alongside a selection of practice works to compliment this. We advocate for aesthetic experience, experimenting with abstract representations. Atypically from prevailing Affective Computing systems, the intention is not to infer or classify emotion but rather to create new opportunities for rich gestural exchange, unconfined to the verbal domain. Given the preliminary proposition of non-representation, we justify a correspondence with modern Machine Learning and multimedia interaction strategies, applying an iterative, human-centred approach to improve personalisation without the compromising emotional potential of bodily gesture. Where related studies in the past have successfully provoked strong design concepts through innovative fabrications, these are typically limited to simple linear, one-to-one mappings and often neglect multi-user environments; we foresee a vast potential. In our use cases, we adopt neural network architectures to generate highly granular biofeedback from low-dimensional input data. We present the following proof-of-concepts: Breathing Correspondence, a wearable biofeedback system inspired by Somaesthetic design principles; Latent Steps, a real-time auto-encoder to represent bodily experiences from sensor data, designed for dance performance; and Anti-Social Distancing Ensemble, an installation for public space interventions, analysing physical distance to generate a collective soundscape. Key findings are extracted from the individual reports to formulate an extensive technical and theoretical framework around this topic. The projects first aim to embrace some alternative perspectives already established within Affective Computing research. From here, these concepts evolve deeper, bridging theories from contemporary creative and technical practices with the advancement of biomedical technologies.Historicamente, os processos de comunicação implicam a transferência de informação entre organismos, mas este fenómeno está constantemente a adaptar-se a novos padrões tecnológicos e culturais. Num contexto digital, é comum encontrar sistemas que giram em torno de modalidades verbais. Contudo, a análise comportamental fundamentada na investigação psicológica chama a atenção para a informação emocional revelada por sinais sociais não verbais, em particular, acções que são involuntárias. Esta noção circulou fortemente em vários campos interdisciplinares de investigação na área das ciências da computação, dos quais surgiram múltiplos estudos, correlacionando a actividade nãoverbal com inferências sócio-afectivas. Estes são frequentemente derivados de alguma forma de captura de movimento e sensores “wearable”, medindo as alterações bioeléctricas “invisíveis” que ocorrem no interior do corpo. Nesta tese, propomos uma motivação e metodologia para a utilização de dados sensoriais fisiológicos como um recurso expressivo para interacções mediadas pela tecnologia. Iniciada a partir de uma discussão aprofundada sobre tecnologias de ponta e princípios de concepção estabelecidos relativamente a este tópico, depois aplicada a uma nova abordagem, juntamente com uma selecção de trabalhos práticos, para complementar esta. Defendemos a experiência estética, experimentando com representações abstractas. Contrariamente aos sistemas de Computação Afectiva predominantes, a intenção não é inferir ou classificar a emoção, mas sim criar novas oportunidades para uma rica troca gestual, não confinada ao domínio verbal. Dada a proposta preliminar de não representação, justificamos uma correspondência com estratégias modernas de Machine Learning e interacção multimédia, aplicando uma abordagem iterativa e centrada no ser humano para melhorar a personalização sem o potencial emocional comprometedor do gesto corporal. Nos casos em que estudos anteriores demonstraram com sucesso conceitos de design fortes através de fabricações inovadoras, estes limitam-se tipicamente a simples mapeamentos lineares, um-para-um, e muitas vezes negligenciam ambientes multi-utilizadores; com este trabalho, prevemos um potencial alargado. Nos nossos casos de utilização, adoptamos arquitecturas de redes neurais para gerar biofeedback altamente granular a partir de dados de entrada de baixa dimensão. Apresentamos as seguintes provas de conceitos: Breathing Correspondence, um sistema de biofeedback wearable inspirado nos princípios de design somaestético; Latent Steps, um modelo autoencoder em tempo real para representar experiências corporais a partir de dados de sensores, concebido para desempenho de dança; e Anti-Social Distancing Ensemble, uma instalação para intervenções no espaço público, analisando a distância física para gerar uma paisagem sonora colectiva. Os principais resultados são extraídos dos relatórios individuais, para formular um quadro técnico e teórico alargado para expandir sobre este tópico. Os projectos têm como primeiro objectivo abraçar algumas perspectivas alternativas às que já estão estabelecidas no âmbito da investigação da Computação Afectiva. A partir daqui, estes conceitos evoluem mais profundamente, fazendo a ponte entre as teorias das práticas criativas e técnicas contemporâneas com o avanço das tecnologias biomédicas

The Perception of Sonic Environments: Representing Soundscapes in Semi-Open Spaces

What we hear plays a crucial role in our experience of the outdoors; however, cities have long been polluted with unwanted sound levels. Semi-open spaces are most critically affected yet also provide spatial capabilities to lessen the perceived impact of noise. In response, soundscape studies view sound as a resource to be explored rather than inhibited, placing the listener's perception and awareness at the forefront of evaluating sonic environments. The research presented in this dissertation aims to understand the relationships between soundscape evaluations and design preferences for the outdoor environment, particularly in semi-open spaces. A user-interactive approach exposes the participant to visual representation methods from a reflection of the literature on the perceptual process of sound stimuli and historical modes of analysing sound. The sonic and spatial characteristics studied will be drawn from a series of soundwalks that evaluate semi-open spaces. The research is thus interested in discrepancies found in soundscape appraisals due to visual differences in the representations, including visual renders, raytracing diagrams, and heatmap animations. The results confirm the influence of visual preferences on soundscape judgments and further reveal the impact of listener sensitivities to sounds. The findings respond to suggestions that affective responses to the outdoor environment can be described dimensionally, which strongly correlate with participant design responses perceived to improve the sonic environment. Promoting user engagement and soundscapes analysis may provide new data on personal expectations and preferences in the design workflow. For this reason, perhaps designers can develop ways towards a holistic approach that can communicate the qualities of the environment to the participant and, in turn, place the end user at the centre of the workflow, delicately balancing the built environment with the overlap of daily activities

Sonifying stochastic walks on biomolecular energy landscapes

Translating the complex, multi-dimensional data produced by simulations of biomolecules into an intelligible form is a major challenge in computational chemistry and biology. The so-called “free energy landscape” is amongst the most fundamental concepts used by scientists to understand both static and dynamic properties of biomolecular systems. In this paper we use Markov models to design a strategy for mapping features of this landscape to sonic parameters, for use in conjunction with visual display techniques such as structural animations and free energy diagrams. This allows for concurrent visual display of the physical configuration of a biomolecule and auditory display of characteristics of the corresponding free energy landscape. The resulting sonification provides information about the relative free energy features of a given configuration including its stability