Search results for "text"
showing 10 items of 8951 documents
Consumer Acceptance and Use of Instagram
2016
This study extends the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to investigate factors affecting the acceptance and use of a social networking service (SNS) called Instagram. The UTAUT2 model is modified to better suit the context of SNSs by replacing the price value construct with self-congruence. Furthermore, we explore the effects of behavioral intention and use behavior on "user indegree" defined as the number of people who follow an SNS user. The results of the survey study largely support the hypothesized model in the context of Instagram. The findings contribute to previous knowledge by demonstrating the important roles of hedonic motivation and habit in co…
Context–content systems of random variables : The Contextuality-by-Default theory
2016
Abstract This paper provides a systematic yet accessible presentation of the Contextuality-by-Default theory. The consideration is confined to finite systems of categorical random variables, which allows us to focus on the basics of the theory without using full-scale measure-theoretic language. Contextuality-by-Default is a theory of random variables identified by their contents and their contexts, so that two variables have a joint distribution if and only if they share a context. Intuitively, the content of a random variable is the entity the random variable measures or responds to, while the context is formed by the conditions under which these measurements or responses are obtained. A …
Making group processes explicit to student
2014
This article considers student learning about group work in the context of project courses where student groups work under realistic expectations. Based on the literature, justice is explicated as a group work concept and regarded as a professional skill that can be practiced. Preliminary student feedback on teaching through continuous discussions on justice are presented together with teacher experiences.
Online user survey on current mobile augmented reality applications
2011
Augmented reality (AR) as an emerging technology in the mobile computing domain is becoming mature enough to engender publicly available applications for end users. Various commercial applications have recently been emerging in the mobile consumer domain at an increasing pace — Layar, Junaio, Google Goggles, and Wikitude are perhaps the most prominent ones. However, the research community lacks an understanding of how well such timely applications have been accepted, what kind of user experiences they have evoked, and what the users perceive as the weaknesses of the various applications overall. During the spring of 2011 we conducted an online survey to study the overall acceptance and user…
On optimal relay placement for improved performance in non-coverage limited scenarios
2014
Low power nodes have been a hot topic in research, standardization, and industry communities, which is typically considered under an umbrella term called heterogeneous networking. In this paper we look at the problem of deploying optimally low power nodes in the context of relay networking, when an operator connects low power nodes (or small cells) via the wireless backhaul that uses the same spectrum and the same wireless access technology. We present an analytical model that can calculate optimal coordinates for low power nodes based on the input parameters, such as preferred number of nodes, their transmission power, parameters of the environment etc. The analytical calculations are comp…
Automatic dynamic texture segmentation using local descriptors and optical flow
2012
A dynamic texture (DT) is an extension of the texture to the temporal domain. How to segment a DT is a challenging problem. In this paper, we address the problem of segmenting a DT into disjoint regions. A DT might be different from its spatial mode (i.e., appearance) and/or temporal mode (i.e., motion field). To this end, we develop a framework based on the appearance and motion modes. For the appearance mode, we use a new local spatial texture descriptor to describe the spatial mode of the DT; for the motion mode, we use the optical flow and the local temporal texture descriptor to represent the temporal variations of the DT. In addition, for the optical flow, we use the histogram of orie…
Context-aware data caching for 5G heterogeneous small cells networks
2016
In this work, we investigate the problem of context-aware data caching in the heterogeneous small cell networks (HSCNs) to provide satisfactory to the end-users in reducing the service latency. In particular, we explore the storage capability of base stations (BSs) in HSCNs and propose a data caching model consists of edge caching elements (CAEs), small cell base stations (SBSs), and macro cell BS (MBS). Then, we concentrate on how to efficiently match the data contents to the different cache entities in order to minimize the overall system service latency. We model it as a distributed college admission (CA) stable matching problem and tackle this issue by utilizing contextual information t…
Fall Detection Using Location Sensors and Accelerometers
2015
The rapid aging of the world's population is driving the development of pervasive solutions for elder care. These solutions, which often involve fall detection with accelerometers, are accurate in laboratory conditions but can fail in some real-life situations. To overcome this, the authors present the Confidence system, which detects falls mainly with location sensors. A user wears one to four tags. By detecting tag locations with sensors, the system can recognize the user's activity, such as falling and then lying down afterward, as well as the context in terms of the location in the home. The authors used a scenario consisting of events difficult to recognize as falls or nonfalls to comp…
Apperception as a Multisensory Process in Material Experience
2015
Visual perspective has dominated experience research in humantechnology interaction for decades now. The neglect of other sensory modalities is gradually being addressed by scholars and designers, who investigate user experience based on touch, smell, taste, sound and even expressive bodily interactions. In cognitive and affective processes, user experience is always multi-modal, not just regarding perceived multi-sensory information, but also while perceiving through one modality we mentally construct information relevant to the other senses. This article reports the results of an experiment, where participants (N = 52) appraised materials either only by touching them or only by seeing. Th…
Are they different? affect, feeling, emotion, sentiment, and opinion detection in text
2014
A major limitation in the automatic detection of affect, feelings, emotions, sentiments, and opinions in text is the lack of proper differentiation between these subjective terms and understanding of how they relate to one another. This lack of differentiation not only leads to inconsistency in terminology usage but also makes the subtleties and nuances expressed by the five terms difficult to understand, resulting in subpar detection of the terms in text. In light of such limitation, this paper clarifies the differences between these five subjective terms and reveals significant concepts to the computational linguistics community for their effective detection and processing in text.