Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot Interaction
When using assistive systems, the consideration of individual and cultural meaning is crucial for the utility and acceptance of technology. Orientation, communication and interaction are rooted in perception and therefore always happen in material space. We understand that a major problem lies in th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-01-01
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| Series: | Technologies |
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| Online Access: | http://www.mdpi.com/2227-7080/6/1/6 |
| _version_ | 1828186134162702336 |
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| author | Oliver Schürer Benjamin Stangl Christoph Hubatschke Christoph Müller |
| author_facet | Oliver Schürer Benjamin Stangl Christoph Hubatschke Christoph Müller |
| author_sort | Oliver Schürer |
| collection | DOAJ |
| description | When using assistive systems, the consideration of individual and cultural meaning is crucial for the utility and acceptance of technology. Orientation, communication and interaction are rooted in perception and therefore always happen in material space. We understand that a major problem lies in the difference between human and technical perception of space. Cultural policies are based on meanings including their spatial situation and their rich relationships. Therefore, we have developed an approach where the different perception systems share a hybrid spatial model that is generated by artificial intelligence—a joint effort by humans and assistive systems. The aim of our project is to create a spatial model of cultural meaning based on interaction between humans and robots. We define the role of humanoid robots as becoming our companions. This calls for technical systems to include still inconceivable human and cultural agendas for the perception of space. In two experiments, we tested a first prototype of the communication module that allows a humanoid to learn cultural meanings through a machine learning system. Interaction is achieved by non-verbal and natural-language communication between humanoids and test persons. This helps us to better understand how a spatial model of cultural meaning can be developed. |
| first_indexed | 2024-04-12T07:14:01Z |
| format | Article |
| id | doaj.art-83031ce985614146a62e43336a69f35f |
| institution | Directory Open Access Journal |
| issn | 2227-7080 |
| language | English |
| last_indexed | 2024-04-12T07:14:01Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Technologies |
| spelling | doaj.art-83031ce985614146a62e43336a69f35f2022-12-22T03:42:32ZengMDPI AGTechnologies2227-70802018-01-0161610.3390/technologies6010006technologies6010006Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot InteractionOliver Schürer0Benjamin Stangl1Christoph Hubatschke2Christoph Müller3Department for Architectural Theory and Philosophy of Technics, Vienna University of Technology, 1040 Vienna, AustriaDepartment for Architectural Theory and Philosophy of Technics, Vienna University of Technology, 1040 Vienna, AustriaDepartment of Philosophy, University of Vienna, 1010 Vienna, AustriaDepartment for Architectural Theory and Philosophy of Technics, Vienna University of Technology, 1040 Vienna, AustriaWhen using assistive systems, the consideration of individual and cultural meaning is crucial for the utility and acceptance of technology. Orientation, communication and interaction are rooted in perception and therefore always happen in material space. We understand that a major problem lies in the difference between human and technical perception of space. Cultural policies are based on meanings including their spatial situation and their rich relationships. Therefore, we have developed an approach where the different perception systems share a hybrid spatial model that is generated by artificial intelligence—a joint effort by humans and assistive systems. The aim of our project is to create a spatial model of cultural meaning based on interaction between humans and robots. We define the role of humanoid robots as becoming our companions. This calls for technical systems to include still inconceivable human and cultural agendas for the perception of space. In two experiments, we tested a first prototype of the communication module that allows a humanoid to learn cultural meanings through a machine learning system. Interaction is achieved by non-verbal and natural-language communication between humanoids and test persons. This helps us to better understand how a spatial model of cultural meaning can be developed.http://www.mdpi.com/2227-7080/6/1/6humanoid robotsspatial model of cultural meaninginteraction designlanguage gamemachine learning |
| spellingShingle | Oliver Schürer Benjamin Stangl Christoph Hubatschke Christoph Müller Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot Interaction Technologies humanoid robots spatial model of cultural meaning interaction design language game machine learning |
| title | Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot Interaction |
| title_full | Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot Interaction |
| title_fullStr | Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot Interaction |
| title_full_unstemmed | Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot Interaction |
| title_short | Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot Interaction |
| title_sort | experiments with a first prototype of a spatial model of cultural meaning through natural language human robot interaction |
| topic | humanoid robots spatial model of cultural meaning interaction design language game machine learning |
| url | http://www.mdpi.com/2227-7080/6/1/6 |
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