scholarly journals HearIt: Auditory-Cue-Based Audio Playback Control to Facilitate Information Browsing in Lecture Audio

2021 ◽  
Vol 11 (9) ◽  
pp. 3803
Author(s):  
Jeongmin Hong ◽  
Hyesoo Jeon ◽  
Hana Lee ◽  
Daehyun Kim ◽  
Minsam Ko
Keyword(s):  
Relevant Information ◽  
Future Research ◽  
Auditory Information ◽  
Time Level ◽  
Current Position ◽  
Auditory Cues ◽  
Semantic Level ◽  
Visual Support ◽  
Audio Data ◽  
Audio Media

Students often utilize audio media during online or offline courses. However, lecture audio data are mostly unstructured and extensive, so they are more challenging in information browsing (i.e., chaining, linking, extraction, and evaluation of relevant information). Conventional time-level skip control is limited in auditory information browsing because it is hard to identify the current position and context. This paper presents HearIt, which provides semantic-level skip control with auditory cues for auditory information browsing. With HearIt, users can efficiently change the playback position in the paragraph-level. Furthermore, two auditory cues (positional cue and topical cue) help grasp the current playback and its context without additional visual support. We conducted a pilot study with the prototype of HearIt, and the results show its feasibility and design implications for future research.

Making one-sided exercise decisions: The influence of exercise-related cognitive errors

2016 ◽  
Vol 23 (9) ◽  
pp. 1240-1249 ◽  
Author(s):  
Sean R Locke ◽  
Lawrence R Brawley
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Relevant Information ◽  
Future Research ◽  
Cognitive Errors ◽  
Online Questionnaire ◽  
Cognitive Error ◽  
Biased Processing

Exercise-related cognitive errors reflect biased processing of exercise-relevant information. The purpose of this study was to examine whether differences existed between individuals reporting low and high exercise-related cognitive errors on information processed about a relevant exercise decision-making situation. In all, 138 adults completed an online questionnaire. The high exercise-related cognitive error group primarily focused on negative content about the situation compared to the low exercise-related cognitive error group who focused on both positive and negative content. The high exercise-related cognitive error group displayed biased processing of exercise information, as suggested by the cognitive errors model. Future research should examine whether biasing information processing caused by exercise-related cognitive errors can be modified and attenuated.

Cryptocurrency bubble risk and the FOMC announcements during COVID-19 black swan event

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anis Jarboui ◽  
Emna Mnif
Keyword(s):  
Federal Reserve ◽  
Abnormal Returns ◽  
Relevant Information ◽  
Future Research ◽  
Open Market ◽  
Predictive Capacity ◽  
Federal Open Market Committee ◽  
Content Type ◽  
Cumulative Abnormal Returns ◽  
Practical Implications

Purpose After the COVID-19 outbreak, the Federal Reserve has undertaken several monetary policies to alleviate the pandemic consequences on the markets. This paper aims to evaluate the effects of the Federal Reserve monetary policy on the cryptocurrency dynamics during the COVID19 pandemic. Design/methodology/approach We examine the response and feedback effects via an event study methodology. For this purpose, abnormal returns (AR) and cumulative abnormal returns (CARs) around the first FOMC (Federal Open Market Committee) announcement related to the COVID-19 pandemic for the top five cryptocurrencies are explored. We, further investigate the effect of the eight FOMC statement announcements during the COVID19 pandemic on these cryptocurrencies (Bitcoin, Ethereum, Tether, Litecoin, and Ripple). In the above-mentioned crypto-currency markets, we investigate the presence of bubbles by using the PSY test. We then examine the concordance of the dates of these bubbles with the dates of the FOMC announcements. Findings The empirical results show that the first FOMC event has a negative significant effect after 4 days of the announcement date for all studied cryptocurrencies except Tether. The results also indicate that cumulative abnormal returns are significant during the event windows of (−3,8), (−3,9), and (−3,10). Besides, we find that Bitcoin, Ethereum and, Litecoin lived short bubbles lasting for a few days. However, Ripple and Tether markets present no bubbles and no explosive periods. Research limitations/implications This paper presents trained proof that FOMC announcements have a positive effect on volatility's predictive capacity. This work therefore promotes the study of the data quality of volatility in future research as well. Practical implications The justified effect of the FOMC announcements on cryptocurrency as a speculative asset has practical implications for investors in building their trading strategies in anticipation of the next FOMC announcement. Therefore, this study implies that the FOMC announcements contain very relevant information for investors in the cryptocurrency market. This research may not only encourage a better understanding of the evolution of the expectations of policymakers, but also facilitate a better understanding of how these expectations are developed. Originality/value The COVID-19 pandemic has disturbed the stability of financial markets, inciting the Fed to take some monetary regulations. To the best of our knowledge, this study is the first one that analyses the response of five major cryptocurrencies to FOMC announcements during COVID 19 pandemic and associates these dates with bubble occurrences.

scholarly journals A Digital Forensic Readiness Architecture for Online Examinations

2018 ◽  
Vol 30 (1) ◽  
Author(s):  
Ivans Kigwana ◽  
H. S Venter
Keyword(s):  
Online Courses ◽  
Relevant Information ◽  
Content Management ◽  
International Standards ◽  
Future Research ◽  
International Electrotechnical Commission ◽  
Course Content ◽  
Digital Forensic ◽  
Online Examination ◽  
Proactive Measures

Some institutions provide online courses to students to ease the courses’ workload. Online courses can also be convenient because the online course content management software conducts marking of tests and examinations. However, a few students could be willing to exploit such a system’s weaknesses in a bid to cheat in online examinations because invigilators are absent. Proactive measures are needed and measures have to be implemented in order to thwart unacceptable behaviour in situations where there is little control of students’ conduct. Digital Forensic Readiness (DFR) employs a proactive approach for an organisation to be forensically prepared for situations where there is little control over people. This can be achieved by gathering, storing and handling incident response data, with the aim of reducing the time and cost that would otherwise be spent in a post-event response process. The problem this paper addresses is that, at the time of writing this paper, there existed no known DFR architecture that can be used to collect relevant information for DFR purposes, specifically in the course of an online examination, as described in the standard published by the International Standards Organisation (ISO) and the International Electrotechnical Commission (IEC) (ISO/IEC 27043:2015) for incident investigation principles and processes. Due to the lack of DFR architecture, the authors propose an Online Examination Digital Forensic Readiness Architecture (OEDFRA) that can be used to achieve DFR when online examinations are conducted. This architecture employs already existing DFR techniques, discussed in the study, to help educational institutions achieve DFR in online examinations. This architecture, (OEDFRA), when implemented, will be tested in future research in order to confirm its contribution to the field of DFR.

scholarly journals Carpooling in Connected and Autonomous Vehicles: Current Solutions and Future Directions

2022 ◽  
Author(s):  
Farkhanda Zafar ◽  
Hasan Ali Khattak ◽  
Moayad Aloqaily ◽  
Rasheed Hussain
Keyword(s):  
Business Model ◽  
Autonomous Vehicles ◽  
Research Work ◽  
Relevant Information ◽  
Security And Privacy ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Survey ◽  
One Stop ◽  
Future Research Directions

Owing to the advancements in communication and computation technologies, the dream of commercialized connected and autonomous cars is becoming a reality. However, among other challenges such as environmental pollution, cost, maintenance, security, and privacy, the ownership of vehicles (especially for Autonomous Vehicles (AV)) is the major obstacle in the realization of this technology at the commercial level. Furthermore, the business model of pay-as-you-go type services further attracts the consumer because there is no need for upfront investment. In this vein, the idea of car-sharing ( aka carpooling) is getting ground due to, at least in part, its simplicity, cost-effectiveness, and affordable choice of transportation. Carpooling systems are still in their infancy and face challenges such as scheduling, matching passengers interests, business model, security, privacy, and communication. To date, a plethora of research work has already been done covering different aspects of carpooling services (ranging from applications to communication and technologies); however, there is still a lack of a holistic, comprehensive survey that can be a one-stop-shop for the researchers in this area to, i) find all the relevant information, and ii) identify the future research directions. To fill these research challenges, this paper provides a comprehensive survey on carpooling in autonomous and connected vehicles and covers architecture, components, and solutions, including scheduling, matching, mobility, pricing models of carpooling. We also discuss the current challenges in carpooling and identify future research directions. This survey is aimed to spur further discussion among the research community for the effective realization of carpooling.

scholarly journals How does gaze to faces support face-to-face interaction? A review and perspective

2019 ◽  
Author(s):  
Roy S Hessels
Keyword(s):  
Visual Information ◽  
Relevant Information ◽  
Observational Research ◽  
Future Research ◽  
Dynamic Systems Theory ◽  
Face To Face ◽  
Vision Science ◽  
Literature Overview ◽  
Social Gaze ◽  
Human Social Behaviour

Gaze – where one looks, how long, and when – plays an essential part in human social behaviour. While many aspects of social gaze have been reviewed, there is no comprehensive review or theoretical framework that describes how gaze to faces supports face-to-face interaction. In this review, I address the following questions: (1) When does gaze need to be allocated to a particular region of a face in order to provide the relevant information for successful interaction; (2) How do humans look at other people, and faces in particular, regardless of whether gaze needs to be directed at a particular region to acquire the relevant visual information; (3) How does gaze support the regulation of interaction? The work reviewed spans psychophysical research, observational research and eye-tracking research in both lab-based and interactive contexts. Based on the literature overview, I sketch a framework for future research based on dynamic systems theory. The framework holds that gaze should be investigated in relation to sub-states of the interaction, encompassing sub-states of the interactors, the content of the interaction as well as the interactive context. The relevant sub-states for understanding gaze in interaction vary over different timescales from microgenesis to ontogenesis and phylogenesis. The framework has important implications for vision science, psychopathology, developmental science and social robotics.

scholarly journals Influence of Visual Support Media in Developing Expressive Language and Logical Thinking of Children Aged 4-5 Years in Inclusion Kindergarten Sidoarjo District

2020 ◽  
Vol 5 (9) ◽  
pp. 737-746
Author(s):  
Nur Anisah ◽  
Budi Purwoko ◽  
Najlatun Naqiyah
Keyword(s):  
Quantitative Research ◽  
Expressive Language ◽  
Future Research ◽  
Control Group ◽  
Logical Thinking ◽  
Visual Support ◽  
Quasi Experimental ◽  
Equivalent Control ◽  
Development Of Language ◽  
Expressive Language Development

The research objectives were to (1) examine the effect of visual support media on the development of expressive language and logical thinking of children aged 4-5 years in inclusion kindergarten; (2) examining the effect of visual support media on the development of language expression and logical thinking in children aged 4-5 years in inclusive kindergartens; Type and quantitative research design with a quasi-experimental design type of non-equivalent control group. The sample used in the study was Kindergarden Diti School class A1 with 15 students and class A2 with 10 students as the experimental class; and TK Batik class A1 15 students and class A2 10 students as the control class. Data collection techniques using tests and observations. Data analysis techniques used analysis of variance (ANOVA) and MANOVA. The results showed that the SPSS output obtained a significance probability value <0.05, so it could be concluded that Ho was rejected and H1 was accepted, meaning (1) there was a significant influence between visual support media on expressive language development and logical thinking in children aged 4-5 years in Inclusion Kindergarten. Future research is expected to test media and educational aids that can develop expressive language and logical thinking.

Soil sodicity in Victoria

Soil Research ◽  
1993 ◽  
Vol 31 (6) ◽  
pp. 869 ◽  
Author(s):  
GW Ford ◽  
JJ Martin ◽  
P Rengasamy ◽  
SC Boucher ◽  
A Ellington
Keyword(s):  
Land Degradation ◽  
Management Practices ◽  
Agricultural Land ◽  
Current Knowledge ◽  
Relevant Information ◽  
Irrigated Agriculture ◽  
Future Research ◽  
Sodic Soils ◽  
Diverse Range ◽  
Key Issues

This paper gives a broad overview of the distribution and agricultural importance of sodic soils in Victoria. Sodic soils are estimated to occupy at least 13.4 Mha, representing at least 73% of Victoria's agricultural land. Most of this land is used for dryland farming; about 85% of the cropped land and 66% of the land sown to dryland pastures occurs on sodic soils. The largest sodicity class is 'alkaline sodic', dominated by a diverse range of soils (red duplex, yellow duplex, calcareous earths and self-mulching cracking clays). Alkaline sodic soils comprise half of the total agricultural land area, or about 24% of the area of land currently used for dryland cropping and 21% of the land under sown pasture. Land degradation problems are recognized as affecting most agricultural land in Victoria, and to be substantially limiting its productivity. The nature, extent and severity of the various forms of land degradation are a consequence of both intrinsic soil properties and of management practices. There is an urgent need to improve current farming practices to prevent further deterioration of the soil resource. Existing knowledge of the behaviour of sodic soils under both dryland and irrigated agriculture is reviewed. It is concluded that substantial gains in productivity are possible, but will require effective collaboration between soil scientists, agronomists, and land managers. Collation and integration of current knowledge on the properties and management of sodic soils in Victoria, and the acquisition of additional relevant information by targeted long-term research is required. Key issues for future research are identified.

Need of Intelligent Search in Dynamic Social Network

2018 ◽  
pp. 144-157
Author(s):  
Shailendra Kumar Sonkar ◽  
Vishal Bhatnagar ◽  
Rama Krishna Challa
Keyword(s):  
Information Retrieval ◽  
Social Network ◽  
Web Mining ◽  
Relevant Information ◽  
Future Research ◽  
Intelligent Search ◽  
Dynamic Social Network ◽  
The Social ◽  
Intelligent Information ◽  
Conference Papers

The user of dynamic social network does not require irrelevant and vast amount of information during a search. A need of an intelligent search is required to get the reduced, filtered and relevant information that is achieved using an intelligent information retrieval and web mining. In this paper, identification and description of facts related to needs of an intelligent search in dynamic social network has been done by the authors after the deep and thorough study conducted on several journal and conference papers that are scattered on different electronic databases globally. The usage of intelligent agent for effective information retrieval from the social network site is a very emerging area and it will help the users to find the relevant and concerned information quickly and efficiently. The findings of the authors will help researchers and scholars who are already working in this area to get the relevant information in the direction of future research.

scholarly journals Is Attentional Filtering Impaired in Schizophrenia?

2019 ◽  
Vol 45 (5) ◽  
pp. 1001-1011 ◽  
Author(s):  
Steven J Luck ◽  
Carly J Leonard ◽  
Britta Hahn ◽  
James M Gold
Keyword(s):  
Executive Control ◽  
Relevant Information ◽  
Irrelevant Information ◽  
Future Research ◽  
Visual Modality ◽  
Auditory Modality ◽  
Positive Symptoms ◽  
Clinical Observations ◽  
Conflicting Evidence ◽  
Processing Resources

Abstract Recent evidence suggests that schizophrenia involves hyperfocusing, an unusually narrow but intense focusing of processing resources. This appears to contradict the classic idea that schizophrenia involves an impairment in the ability to focus on relevant information and filter irrelevant information. Here, we review one set of studies suggesting that attentional filtering is impaired in people with schizophrenia and another set of studies suggesting that attentional filtering is unimpaired or even enhanced in these individuals. Considerable evidence supports both conclusions, and we propose 3 potential ways of reconciling the conflicting evidence. First, impaired attentional filtering may occur primarily during periods of active psychosis, with hyperfocusing being a part of the broad pattern of cognitive impairment that persists independent of the level of positive symptoms. Second, schizophrenia may involve hyperfocusing in the visual modality and impaired attentional filtering in the auditory modality. Third, attention may be directed toward irrelevant inputs as a result of impaired executive control, and hyperfocusing on those inputs may be functionally equivalent to a failure of attentional filtering. Given the widespread clinical observations and first-person reports of impaired attentional filtering in schizophrenia, it will be important for future research to test these possibilities.

Discovering Semantics from Visual Information

2011 ◽  
pp. 116-145
Author(s):  
Zhiyong Wang ◽  
Dagan Feng
Keyword(s):  
Digital Libraries ◽  
Visual Information ◽  
Large Scale ◽  
Future Research ◽  
Semantic Concept ◽  
Visual Content ◽  
Concept Detection ◽  
Semantic Level ◽  
The Arts ◽  
Visual Domain

Visual information has been immensely used in various domains such as web, education, health, and digital libraries, due to the advancements of computing technologies. Meanwhile, users realize that it has been more and more difficult to find desired visual content such as images. Though traditional content-based retrieval (CBR) systems allow users to access visual information through query-by-example with low level visual features (e.g. color, shape, and texture), the semantic gap is widely recognized as a hurdle for practical adoption of CBR systems. Wealthy visual information (e.g. user generated visual content) enables us to derive new knowledge at a large scale, which will significantly facilitate visual information management. Besides semantic concept detection, semantic relationship among concepts can also be explored in visual domain, other than traditional textual domain. Therefore, this chapter aims to provide an overview of the state-of-the-arts on discovering semantics in visual domain from two aspects, semantic concept detection and knowledge discovery from visual information at semantic level. For the first aspect, various aspects of visual information annotation are discussed, including content representation, machine learning based annotation methodologies, and widely used datasets. For the second aspect, a novel data driven based approach is introduced to discover semantic relevance among concepts in visual domain. Future research topics are also outlined.

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