What can the language of musicians tell us about music interaction design?

It is difficult to create good interaction designs for music software or to substantially improve existing designs. One reason is that music involves diverse and complex concepts, entities, relationships, processes, terminologies, and notations. An open challenge for interaction designers is to find systematic ways of channeling the tacit, specialized knowledge of musicians into designs for intuitive user interfaces that can capably support musically skilled users, without excluding those with less technical musical knowledge. One promising new approach to this challenge involves the application of research from the theory of image schemas and conceptual metaphors This theory has already been applied with some success to analyzing musical concepts, mathematical concepts, general-purpose user-interface design, and sound-generation interaction designs involving simple musical parameters such as tempo, volume, and pitch. We propose that by identifying the conceptual metaphors and image schemas used by musical experts when analyzing an excerpt of music, and then assessing the extent to which these conceptual metaphors are supported by existing music-interaction designs, it is possible to identify areas where the designs do not match musicians’ understanding of the domain concepts. This process provides a principled basis for identifying points at which designs could be improved to better support musicians’ understanding and tasks, and for the provisional identification of possible improvements. We present the results of an analysis of dialogue between three musicians as they discuss an excerpt of music. A methodology for the systematic identification of image schemas and conceptual metaphors is detailed. We report on the use of the results of the dialogue analysis to illuminate the designs of two contrasting examples of music software. Areas in which the designs might be made more intuitive are identified, and corresponding suggestions for improvements are outlined. The present research appears to be the first to investigate the potential of conceptual metaphor theory for investigating and improving music-interaction designs that deal with complex musical concepts, such as harmonic progressions, modulation, and voice leading

Oil palm monoculture induces drastic erosion of an Amazonian forest mammal fauna

Oil palm monoculture comprises one of the most financially attractive land-use options in tropical forests, but cropland suitability overlaps the distribution of many highly threatened vertebrate species. We investigated how forest mammals respond to a landscape mosaic, including mature oil palm plantations and primary forest patches in Eastern Amazonia. Using both line-transect censuses (LTC) and camera-trapping (CT), we quantified the general patterns of mammal community structure and attempted to identify both species life-history traits and the environmental and spatial covariates that govern species intolerance to oil palm monoculture. Considering mammal species richness, abundance, and species composition, oil palm plantations were consistently depauperate compared to the adjacent primary forest, but responses differed between functional groups. The degree of forest habitat dependency was a leading trait, determining compositional dissimilarities across habitats. Considering both the LTC and CT data, distance from the forest-plantation interface had a significant effect on mammal assemblages within each habitat type. Approximately 87% of all species detected within oil palm were never farther than 1300 m from the forest edge. Our study clearly reinforces the notion that conventional oil palm plantations are extremely hostile to native tropical forest biodiversity, which does not bode well given prospects for oil palm expansion in both aging and new Amazonian deforestation frontiers

Augmented happiness: Simple color changes influence users' conceptual choices

Color is a powerful visual property and is used to make interferences about the world. However, no theoretical framework is available that explains precisely where color associations come from and how they affect psychological functioning, making it difficult to predict how color affects human-computer interaction. This paper aims at closing this gap by suggesting an Embodied Cognition view on color, which assumes that the aggregate of our perceptual color experiences is part of the mental representation of tactile object attributes and thus systematically influences our abstract thinking via the process of metaphorical mapping. An empirical study is presented in which hues and saturation of objects were manipulated via Augmented Reality. Participants matched objects to abstract concepts, e. g., happiness. 83 % of the participants' choices were correctly predicted, suggesting that color information is considered during the processing of abstract information. Eight color-to-abstract-concept mappings are recommended and possible areas of application are discussed

Proalcool Analyse und Evaluierung des brasilianischen Biotreibstoffprogramms

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