Identification and examination of features of mobile telepresence robots that are able to positively/negatively affect team collaborative efforts.In-depth understanding of how mobile telepresence robots affect team dynamics, and in particular decision making and problem solving.Methodology: Qualitative field study followed by confirmatory laboratory studies. decision-making error, speed of output) and team outcomes (e.g. How this in turn influences performance outcomes (e.g.high/low cognitive complexity, routine/non-routine tasks, and high/low uncertainty).
Host institution: Aarhus University, Denmark | Main supervisor : Sladjana Nørskov Analysis of proper adoption of robotic-assisted managerial and policy implications.Development a new knowledge base on human-machine interaction models (data collection).Development of a framework for collaborative human robots in organisations.Identify the facilitators that help the adoption of new technology and the introduction of robots in organisational environments.Identify the barriers to adoption of the use of technology.Explore how technology acceptance will influence usage intention and usage behaviour and, more in general, on organisational performance.Examine the effect of the introduction of social and collaborative robots on individual workers and, more in general, the main opportunities and challenges at the organisational level.Objectives: The work of ESR 3 will be dedicated to understanding the interaction models of collaborative robots in organisations. Host institution: Scuola Superiore Sant’Anna, Italy | Main supervisors: Andrea Piccaluga, Alberto Di Minin, Valentina Cucino and Cristina Marullo Design criteria for human-machine interfaces tailored to sensory modality and application scenarios.Characterisation of the determinants of acceptability of human-machine interfaces.Fundamental understanding of information-exchange via human-machine interfaces.Novel insights on human-machine cooperation and their effects on individual and organisational performance.This ESR project will explore and pilot novel approaches to digitise human work and their effects on individual and organisational performance. The research will explore the interaction and complementarities between automation (including social/collaborative robots) and human machine cooperation. State of the art interfaces typically are speech-based, touch-based, or vision-based or combinations of these to allow interpreting, imitating or complementing the gestures of the user. A major subsystem of a social/collaborative robot is the human-machine interface, which may be grounded on different sensory modalities to exchange information. The major change is the ability to have the robot share the workspace and tasks with humans, allowing to cooperate and act in society. Objectives: Robots are nowadays integrating capabilities which were not available in the recent past. So go ahead, abuse your tracks with THE MONSTER, and create new and unique sounds that will have people ducking for cover.Host institution: Scuola Superiore Sant’Anna, Italy | Main supervisors: Calogero Oddo and Arianna Menciassi no it takes the sound into the 21st Century, with newly added features such as high and low frequency sidechain manipulation, attack processing to add more punch but keep the legendary sustain, and a mix knob to parallel compress right inside the processor. And that’s why we call this plugin that recreates that infamous tone, THE MONSTER.īut the Slate Digital MONSTER isn’t content just being a classic emulation of the ALL BUTTONS IN. The sound is big, it’s rude, it’s extreme, it’s over the top, and when it finds the right source, it creates a monstrous tone that slams out of a mix. The ALL BUTTONS IN effect is famous… no actually it’s infamous. The drums, which were once neat, tight, and slappy, were now big explosive cannons! It was a really cool moment that has stayed in my memory ever since (in comparison, I have no clue what I ate for breakfast this morning). Jeff proceeded to press all the buttons in on his vintage FET compressor, and then raised the fader on his Mackie 8 Buss mixer. “Check this out”, said Jeff, the engineer at a small recording studio built into a garage in my home town of Westfield, NJ.
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