Data Mining - Concepts and Techniques.

The literature on interference in the Stroop Color-Word Task, covering over 50 years and some 400 studies, is organized and reviewed. In so doing, a set of 18 reliable empirical finding is isolated that must be captured by any successful theory of the Stroop effect. Existing theoretical positions are summarized and evaluated in view of this critical evidence and the 2 major candidate theories ―relative speed of processing and automaticity of reading― are found to be wanting. It is concluded that recent theories placing the explanatory weight on parallel processing of the irrelevant and the relevant dimensions are likely to be more sucessful than are earlier theories attempting to locate a single bottleneck in attention

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Half a century of research on the Stroop effect: an integrative review.

A framework for conceptualizing the development of individual differences in reading ability is presented that synthesizes a great deal of the research literature. The framework places special emph...

Matthew effects in reading: Some consequences of individual differences in the acquisition of literacy.

2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

The European commission

การวจยเชงคณภาพ เปนเครองมอสำคญอยางหนงสำหรบทำความเขาใจสงคมและพฤตกรรมมนษย การวจยแบบการสรางทฤษฎจากขอมล กเปนหนงในหลายระเบยบวธการวจยเชงคณภาพทกำลงไดรบความสนใจ และเปนทนยมเพมสงขนเรอยๆ จากนกวชาการ และนกวจยในสาขาสงคมศาสตร และศาสตรอนๆ เชน พฤตกรรมศาสตร สงคมวทยา สาธารณสขศาสตร พยาบาลศาสตร จตวทยาสงคม ศกษาศาสตร รฐศาสตร และสารสนเทศศกษา ดงนน หนงสอเรอง “ConstructingGrounded Theory: A Practical Guide through Qualitative Analysis” หรอ “การสรางทฤษฎจากขอมล:แนวทางการปฏบตผานการวเคราะหเชงคณภาพ” จะชวยใหผอานมความรความเขาใจถงพฒนาการของปฏบตการวจยแบบสรางทฤษฎจากขอมล ตลอดจนแนวทาง และกระบวนการปฏบตการวจยอยางเปนระบบ จงเปนหนงสอทควรคาแกการอานโดยเฉพาะนกวจยรนใหม เพอเปนแนวทางในการนำความรความเขาใจไประยกตในงานวจยของตน อกทงนกวจยผเชยวชาญสามารถอานเพอขยายมโนทศนดานวจยใหกวางขวางขน

Constructing Grounded Theory: A Practical Guide through Qualitative Analysis

Social media is a common place for people to post and share digital reflections of their life events, including major events such as getting married, having children, graduating, etc. Although the creation of such posts is straightforward, the identification of events on online media remains a challenge. Much research in recent years focused on extracting major events from Twitter, such as earthquakes, storms, and floods. This paper however, targets the automatic detection of personal life events, focusing on five events that psychologists found to be the most prominent in people lives. We define a variety of features (user, content, semantic and interaction) to capture the characteristics of those life events and present the results of several classification methods to automatically identify these events in Twitter. Our proposed classification methods obtain results between 0.84 and 0.92 F1-measure for the different types of life events. A novel contribution of this work also lies in a new corpus of tweets, which has been annotated by using crowdsourcing and that constitutes, to the best of our knowledge, the first publicly available dataset for the automatic identification of personal life events from Twitter.

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Identifying Prominent Life Events on Twitter

Ambient intelligence (AmI) and ubiquitous computing allow us to consider a future where computation is embedded into our daily social lives. This vision raises its own important questions and augments the need to understand how people will trust such systems and at the same time achieve and maintain privacy. As a result, we have recently conducted a wide reaching study of people’s attitudes to potential AmI scenarios with a view to eliciting their privacy concerns. This chapter describes recent research related to privacy and trust with regard to ambient technology. The method used in the study is described and findings discussed.

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Trust and Privacy Permissions for an Ambient World

Personal experiences matter: what patients think about hypertension information online

HCI draws on a variety of traditions but recently there have been calls to consolidate contributions around the problems researchers set out to solve. However, with this comes the assumption that problems are tractable and certain, rather than constructed and framed by researchers. We take as a case study a Tumblr community of teen shoplifters who post on how to steal from stores, discuss shoplifting as political resistance, and share jokes and stories about the practice. We construct three different "problems" and imagine studies that might result from applying different design approaches: Design Against Crime; Critical Design and Value Sensitive Design. Through these studies we highlight how interpretations of the same data can lead to radically different design responses. We conclude by discussing problem making as a historically and politically contingent process that allow researchers to connect data and design according to certain moral and ethical principles.

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Making Problems in Design Research: The Case of Teen Shoplifters on Tumblr

This paper addresses two issues: whether there is a developmental trend in suggestibility to misleading post-event information, and whether suggestibility can be reduced by use of part of the cognitive interview. Twenty participants from each of three age groups (four-to-five year olds, eight-to-nine year olds and adults) watched a filmed event, and half of the participants in each age group were subsequently asked to recall everything they had seen using a method derived from the cognitive interview procedure. Following this, all participants were asked questions about the filmed event, some of which incorporated misleading information. Twenty four hours later the witnesses were interviewed again, this time critical questions were included about the truth of the presuppositions introduced in the initial questionnaire. It was found that although the eight-to-nine year olds were more suggestible than adults, the apparent greater suggestibility of very young children (four-to-five years) could potentially be explained in terms of heightened compliance to the perceived demands of the interviewer. The 'be complete' part of the cognitive interview only produced an improvement in performance for the eight-to-nine year olds.

Pamela Briggs

Papers

Identifying Prominent Life Events on Twitter

Trust and Privacy Permissions for an Ambient World

Personal experiences matter: what patients think about hypertension information online

Making Problems in Design Research: The Case of Teen Shoplifters on Tumblr

Age trends in eye-witness suggestibility and compliance