Search results for "ta113"
showing 10 items of 530 documents
Drifting Down the Technologization of Life: Could Choreography-Based Interaction Design Support us in Engaging with the World and our Embodied Living?
2013
The development of interactive technology is often based on the assumption of need to reduce the physical action and cognitive load of the user. However, recent conceptualizations, supported by research in various fields of science, emphasize human physical action in cognitive processes and knowledge formation. In fact, physical and closely related imaginary movement can be seen as the quintessence of humanity. Acknowledging this should imply a new approach to the design of interactive technology. In the current study, we propose a choreographic approach for shifting the focal point of interaction design to the aspects of human activity and movement within a technologized context. Hence, th…
Beyond MAYA for game-changing multisensory design
2017
With information technology becoming ever more embedded in our surrounding everyday things, the nature of interactions and the way we experience digitalization is becoming increasingly embodied. Thus, growing effort is placed on examining the multisensory nature of interaction experience. From a design perspective, increased knowledge of how people experience materials and how to design to encourage varying material experiences opens new opportunities for the generation of rich multisensory user experience, and accomplishing game-changing results. In particular, the innovation space opened up by understanding people's material expectations of designs is significant. An experiment (N = 78) w…
Using human-values as a guide for understanding worthy design directions in augmented reality
2016
Augmented reality is a fast developing field, which will no doubt gain strong footing in the area of social media in the near future. Recently, Google Glass placed AR towards the top of the technological hype curve in regards to interaction possibilities, information overlay, information search and recording. Questions still remain however, regarding the added-value that AR offers to already existing interaction modes and technologies. In this study four concepts were designed and tested via video scenarios. The concepts related to three main product categories: educational tools; information presentation; and x-ray vision. The results positively reflected on the application of AR for educa…
Discovering and creating business opportunities for cloud services
2016
This study focuses on how the opportunities for cloud services are detected.The study develops a framework to detect and exploit cloud-based opportunities.This study incorporates entrepreneurship theories to extend and enrich IS research. Cloud computing provides new business opportunities for firms selling or using cloud services. However, little is known about how software firms detect and exploit these opportunities. Based on in-depth qualitative case studies, this study identified two different pathways followed by software firms when they detect and exploit opportunities. In the first pathway, the opportunity is based on an existing problem and need in the market. In the case firms, th…
Genre-adaptive Semantic Computing and Audio-based Modelling for Music Mood Annotation
2016
This study investigates whether taking genre into account is beneficial for automatic music mood annotation in terms of core affects valence, arousal, and tension, as well as several other mood scales. Novel techniques employing genre-adaptive semantic computing and audio-based modelling are proposed. A technique called the ACTwg employs genre-adaptive semantic computing of mood-related social tags, whereas ACTwg-SLPwg combines semantic computing and audio-based modelling, both in a genre-adaptive manner. The proposed techniques are experimentally evaluated at predicting listener ratings related to a set of 600 popular music tracks spanning multiple genres. The results show that ACTwg outpe…
A gap analysis of Internet-of-Things platforms
2016
We are experiencing an abundance of Internet-of-Things (IoT) middleware solutions that provide connectivity for sensors and actuators to the Internet. To gain a widespread adoption, these middleware solutions, referred to as platforms, have to meet the expectations of different players in the IoT ecosystem, including device providers, application developers, and end-users, among others. In this article, we evaluate a representative sample of these platforms, both proprietary and open-source, on the basis of their ability to meet the expectations of different IoT users. The evaluation is thus more focused on how ready and usable these platforms are for IoT ecosystem players, rather than on t…
Multi-label Methods for Prediction with Sequential Data
2017
The number of methods available for classification of multi-label data has increased rapidly over recent years, yet relatively few links have been made with the related task of classification of sequential data. If labels indices are considered as time indices, the problems can often be seen as equivalent. In this paper we detect and elaborate on connections between multi-label methods and Markovian models, and study the suitability of multi-label methods for prediction in sequential data. From this study we draw upon the most suitable techniques from the area and develop two novel competitive approaches which can be applied to either kind of data. We carry out an empirical evaluation inves…
Diffusion map for clustering fMRI spatial maps extracted by Indipendent Component Analysis
2013
Functional magnetic resonance imaging (fMRI) produces data about activity inside the brain, from which spatial maps can be extracted by independent component analysis (ICA). In datasets, there are n spatial maps that contain p voxels. The number of voxels is very high compared to the number of analyzed spatial maps. Clustering of the spatial maps is usually based on correlation matrices. This usually works well, although such a similarity matrix inherently can explain only a certain amount of the total variance contained in the high-dimensional data where n is relatively small but p is large. For high-dimensional space, it is reasonable to perform dimensionality reduction before clustering.…
Fast MATLAB assembly of FEM matrices in 2D and 3D: Edge elements
2014
We propose an effective and flexible way to assemble finite element stiffness and mass matrices in MATLAB. We apply this for problems discretized by edge finite elements. Typical edge finite elements are Raviart-Thomas elements used in discretizations of H(div) spaces and Nedelec elements in discretizations of H(curl) spaces. We explain vectorization ideas and comment on a freely available MATLAB code which is fast and scalable with respect to time.
Innovation Initiatives in Large Software Companies : A Systematic Mapping Study
2018
Context: To keep the competitive advantage and adapt to changes in the market and technology, companies need to innovate in an organised, purposeful and systematic manner. However, due to their size and complexity, large companies tend to focus on the structure in maintaining their business, which can potentially lower their agility to innovate.Objective:The aims of this study are to provide an overview of the current research on innovation initiatives and to identify the challenges of implementing those initiatives in the context of large software companies.Method: The investigation was primarily performed using a systematic mapping approach of published literature on corporate innovation …