Objective
EMTECH analyzes the relationship between aesthetic works on human-robot interaction in Japan and cutting-edge advances in robotics and artificial intelligence. Its central hypothesis argues that a tradition of literary, artistic, and other media forms of cultural production on human-robot relationships particular to Japan is currently being built into emotionally-intelligent companion robots with the ability to understand, record, and elicit emotions in its users, consequently expanding the capacities for humans to create affective bonds with machines and transforming structures of intimacy that sustain traditional social institutions. In its most ambitious claim, EMTECH argues that this cultural tradition has played a primary role in inspiring the recently-emerging mass production of domestic robots with technology that can register and record facial expressions, heart rate, skin conductance, and other signs of affect not consciously recognized by humans, thus generating new kinds of scientific data on human affect that fundamentally challenges previous understandings of emotion. Through the textual analysis of literary work on robot imaginaries and ethnographic fieldwork on human-robot interaction in homes, palliative care centers, and engineering laboratories, EMTECH’s purpose is to collect qualitative data on new technologies of emotion management in order to advance literary and cultural theory’s contributions to the affective sciences, as well as to inform public discussions on issues of data collection, privacy, and other ethical concerns raised by the adoption of emotionally-intelligent robots in the home. Leveraging research in the humanities to critique emotional models employed by robotics engineers and designers, and implementing novel research methods such as the use of robots in both literary critique and ethnographic fieldwork, EMTECH promises to yield groundbreaking data of both theoretical and methodological application across the human sciences.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2016-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
14195 BERLIN
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.