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While there is an increased appreciation for integrating haptic feedback with audio-visual content, there is still a lack of understanding of how to quantify the added value of touch for a user's experience (UX) of multimedia content. Here we focus on three main concepts to measure this added value: UX, emotions, and expectations. We present a case study measuring the added value of haptic feedback...
A historically important tradition in exegesis, rooted in a number of scriptural passages, considers the Qur'an to be a self-similar text. This claim, while being sharply debated in literature, has never been independently tested. This paper proposes a strategy to measure self-similarity in classical Arabic texts, based on Leven-shtein distance, within the Self-Similar Qur'an (SSQ) project. The significance...
In this work, we propose a framework for resolving ambiguity in user-generated natural language queries. We use pragmatics to formalize the refinement of an incoming query into possible interpretations which we call a response graph. Each of the possible interpretations are assigned likelihoods of being correct by the pragmatics framework, as well as Quality of Information (QoI) scores that quantify...
As bilateral relation between Indonesia and Japan strengthens, the need of consistent term usage for both languages becomes important. In this paper, a new method for Indonesian-Japanese term extraction is presented. In general, this is done in 3 steps: (1) n-gram extraction for each language, (2) n-gram cross-pairing between both languages, and (3) classification. This method is aimed to be able...
Quality evaluation is a fundamental problem in the field of linguistic description of data. In this work, we analyze the concept of quality and study different approaches to measure quality. Although most of the approaches considered focused on time series data, that are one of the most frequent datasets in real application domains, they can be used for quality assessment of linguistic descriptions...
The assignment of prosodic events (accent and phrasing) from the text is crucial in text-to-speech synthesis systems. This paper addresses the combination of linguistic and metric constraints for the assignment of prosodic events in text-to-speech synthesis. First, a linguistic processing chain is used to provide a rich linguistic description of a text. Then, a novel statistical representation based...
Affective interaction is a new emerging area of interest for interaction designers. This research explores the potential of our hybrid approach that relies on both, lexical and machine learning techniques for detection of Ekman's six emotional categories in user's text. The initial results of the performance evaluation of the proposed hybrid approach are encouraging and comparable to related research...
To access the Internet, companies define a Service Level Agreement (SLA) with Internet Service Providers (ISPs). Nevertheless, the current Internet does not assure Quality of Service (QoS), what points toward the concept of virtual networks (VNs) and software defined network (SDN) to support the Future Internet. Moreover, the VN and SDN approaches can be mixed creating the Virtual Software Defined...
The emerging empirical literature on Open Source communities indicates that a majority of code writing and communication activity is concentrated with a few contributors, the “core” (maintainers). However, these communities allow and encourage participation from anybody, the “periphery”. The focus of this work is on explaining how distributed communities solve software problems through the participation...
Mobile app reviews are valuable repositories of ideas coming directly from app users. Such ideas span various topics, and in this paper we show that 23.3% of them represent feature requests, i.e. comments through which users either suggest new features for an app or express preferences for the re-design of already existing features of an app. One of the challenges app developers face when trying to...
When the initial requirements of a software project are not so consolidated and there is a gap from what the user is able to express and what actually is needed, it seems obvious that the traditional way of "waterfall" developing approach is not so much recommended. The Agile approach (based on iterative-incremental model) mitigates the possible risks by classical way of software development...
Information retrieval and extraction essentially rely on estimating the relevance of words present in a large corpus of documents or text. One of the approaches to measuring relevance is analyzing the importance of words based on their statistical distribution within a document. Quite another approach ensues from their linguistic relevance within a logically perceived context.
Previous studies showed that linguistic information contained in source code is a valuable source of information and can help to improve program comprehension. The proposed research focuses on improving the quality of source code by studying common negative practices with respect to linguistic information. The definition of the so called linguistic antipatterns are expected to increase the awareness...
Identifiers are an important source of information during program understanding and maintenance. Programmers often use identifiers to build their mental models of the software artifacts. We have performed a preliminary study to examine the relation between the terms in identifiers, their spread in entities, and fault proneness. We introduced term entropy and context-coverage to measure how scattered...
Toponym Disambiguation (TD) in Geographic Information Retrieval (GIR) systems is a crucial technique, which makes a direct impact on the quality of subsequent assignment of geographic focus to a document and that of establishment of spatial index as well as the effectiveness of the entire retrieval model as a whole. We explore the mechanism for human beings' dealing with the problem of TD. Human's...
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