81 research outputs found

    Search as learning:a psychological perspective

    Get PDF
    In my talk I gave an overview on the topic “search as learning” from a psychological perspective (specifically an educational and applied cognitive psychology perspective). The focus of psychological research in this field is on using the Internet to learn about complex, conflicting scientific or health-related issues rather than to learn simple facts. Such so-called ill-structured problems do not have a single, definitive solution, but are characterized by conflicting and fragile evidence. Two central processing steps that are typically addressed in this mostly experimental research are (1) the evaluation and selection of search results presented by a search engine, and (2) the comparison and integration of information from multiple websites. Moreover, during both steps source evaluation processes are investigated; i.e., whether, how, and when learners attend to, evaluate, and use information about the sources of documents (cf. credibility assessment). As outlined in my talk, a central goal of psychological research in this field is also to identify and examine factors that might influence the information seeking processes and learning outcomes. Such influencing factors are, for instance, prior topic knowledge or attitudes (i.e., individual variables), task instructions or trainings (i.e., contextual variables), or search tools or interfaces (i.e., resource variables)

    The Future of Learning by Searching the Web: Mobile, Social, and Multimodal

    Get PDF
    Recent technological developments related to the World Wide Web including mobile computing, social media, and online videos are shaping the way we learn. As argued in the present commentary, the majority of educational psychological research that has examined how individuals learn by searching the Web, however, has not kept up with this pace. Therefore, the goal of this commentary is to discuss how recent technological developments might affect how learners acquire knowledge through Web search and to provide a respective research agenda. Specifically, we will focus on the use of mobile devices and digital assistants, social networking sites, and online videos, and the opportunities and challenges they present to learners. In addition, we suggest that future research should study the ongoing learning processes during Web search in greater detail. We believe that examining the research questions raised in the present commentary will uniquely contribute to the literature on Web-based searching and learning.  MP3  Fil

    Location of navigation menus in websites: an experimental study with Arabic users

    Get PDF
    Published online: 31 October 2015While Arabic users represent by far the fastest growing language population on the Internet, research about how the peculiarities of Arabic language may shape users’ web interactions is still scarce. The preferences of Arabic users for menu location in websites have been studied. Two competing arguments have been proposed regarding the best location of menus in websites: conventional design (navigation menu should be placed on that side where users expect it based on previous experience) and reading direction (navigation menu should be placed on that side where readers are used to start off reading, so that the navigation menu is likely to be attended first). In an experiment, twenty-five participants with Arabic as mother language (who also spoke English) were briefly presented with screenshots from websites presented in Arabic or English and with menus located either on the left or the right, and rated their perceived visual appeal, usability, and trustworthiness. Results showed that participants judged the Arabic websites more positive when menus were located in the right- rather than in the left-hand side. In contrast, no differences for menu location were observed for English websites. These results are discussed in light of the conventional design and reading direction hypothesis and with regard to their implications for the design of Arabic websites.This research was partially funded by a Grant from the Spanish Secretaría General de Universidades (EDU2014-59422) to the first author

    Know What Not To Know: Users' Perception of Abstaining Classifiers

    Full text link
    Machine learning systems can help humans to make decisions by providing decision suggestions (i.e., a label for a datapoint). However, individual datapoints do not always provide enough clear evidence to make confident suggestions. Although methods exist that enable systems to identify those datapoints and subsequently abstain from suggesting a label, it remains unclear how users would react to such system behavior. This paper presents first findings from a user study on systems that do or do not abstain from labeling ambiguous datapoints. Our results show that label suggestions on ambiguous datapoints bear a high risk of unconsciously influencing the users' decisions, even toward incorrect ones. Furthermore, participants perceived a system that abstains from labeling uncertain datapoints as equally competent and trustworthy as a system that delivers label suggestions for all datapoints. Consequently, if abstaining does not impair a system's credibility, it can be a useful mechanism to increase decision quality

    The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning

    Get PDF
    Using a Web search engine is one of today’s most frequent activities. Exploratory search activities which are carried out in order to gain knowledge are conceptualized and denoted as Search as Learning (SAL). In this paper, we introduce a novel framework model which incorporates the perspective of both psychology and computer science to describe the search as learning process by reviewing recent literature. The main entities of the model are the learner who is surrounded by a specific learning context, the interface that mediates between the learner and the information environment, the information retrieval (IR) backend which manages the processes between the interface and the set of Web resources, that is, the collective Web knowledge represented in resources of different modalities. At first, we provide an overview of the current state of the art with regard to the five main entities of our model, before we outline areas of future research to improve our understanding of search as learning processes. Copyright © 2022 von Hoyer, Hoppe, Kammerer, Otto, Pardi, Rokicki, Yu, Dietze, Ewerth and Holtz

    IDEST: International Database of Emotional Short Texts

    Get PDF
    We introduce a database (IDEST) of 250 short stories rated for valence, arousal, and comprehensibility in two languages. The texts, with a narrative structure telling a story in the first person and controlled for length, were originally written in six different languages (Finnish, French, German, Portuguese, Spanish, and Turkish), and rated for arousal, valence, and comprehensibility in the original language. The stories were translated into English, and the same ratings for the English translations were collected via an internet survey tool (N = 573). In addition to the rating data, we also report readability indexes for the original and English texts. The texts have been categorized into different story types based on their emotional arc. The texts score high on comprehensibility and represent a wide range of emotional valence and arousal levels. The comparative analysis of the ratings of the original texts and English translations showed that valence ratings were very similar across languages, whereas correlations between the two pairs of language versions for arousal and comprehensibility were modest. Comprehensibility ratings correlated with only some of the readability indexes. The database is published in osf.io/9tga3, and it is freely available for academic research.This project was conducted as a part of E-READ COST action (IS1404). The first author received project funding from the Academy of Finland (decision number 334266). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.info:eu-repo/semantics/publishedVersio

    New genetic loci link adipose and insulin biology to body fat distribution.

    Get PDF
    Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms
    corecore