Search Goals Research Articles

The Influence of Emoticons on New Product Evaluation

Emoticons are widely used to compensate for the lack of nonverbal elements in the communication process. Extant literature focuses on the benefits of using emoticons in a computer-mediated communication (CMC) context, whereas this research aimed to investigate the influence of emoticons on a new product evaluation and explore a potential boundary condition of emoticon use. A user guide for a new product was designed to examine the effect of emoticons in the knowledge acquisition context. The results showed that emoticons influence product attitude mediated by fluency elicited by emoticons, which in turn affects a product’ s perceived competency. Furthermore, the need for cognition (NFC) moderated the sequential multiple mediations; as NFC increased, perceived fluency decreased, implying that the goal of the information search is a potential boundary condition. Specifically, when the purpose of the information search was to acquire knowledge, using emoticons reduced fluency experience, resulting in low perceived product competency and a less favorable product attitude.

Research on the Cuckoo Algorithm for Flexible Workshop Scheduling Problems

As a typical combinatorial optimization problem, the essence of the solution to the scheduling problem is to formulate a reasonable scheduling scheme to arrange and allocate production resources, thereby obtaining the optimal scheduling result. The Cuckoo Search Algorithm (CS), a revolutionary meta-heuristic, is based on the cuckoo's breeding behavior and combines Lévy flight and random walk strategies to more efficiently attain the search goal. CS algorithm has been extensively employed in a variety of intricate combinatorial optimization issues, with its few parameters, precise resolution, random search path optimization, robust search aptitude, and uncomplicated implementation leading to satisfactory outcomes. After in-depth research, we found that the cuckoo search algorithm excels in dealing with flexible workshop scheduling problems. We conduct a series of comparative experiments to further confirm the efficacy of this algorithm. The results show that the cuckoo algorithm performs well in global search and can be used to solve complex flexible workshop scheduling models.

Vocalizing Search: How Voice Technologies Alter Consumer Search Processes and Satisfaction

Abstract The effect of voice technology on how consumers search for information online is explored. Results from a field survey of consumer experiences with voice-assisted search, three controlled experiments involving dictated (vs. typed) Google searches, and a supplemental experiment (N = 10,385) find that vocalizing (vs. typing) a query leads consumers to provide more specific, detailed descriptions of what they are seeking, which in turn yield search results that they are more satisfied with. This occurs because consumers tend to be more concerned about communicating clearly when engaging with voice technology, which prompts them to think more about how they want to convey their query before saying it out loud (vs. typing it). This increased forethought leads consumers to provide more detailed descriptions of what they are searching for in vocalized queries, such as by including brand names and intended purposes of use. Finally, the increased specificity of vocalized (vs. typed) queries results in search returns that better satisfy consumers’ search goals. Implications for research on consumer–technology interactions, as well as for marketers and consumers, are discussed.

How to Conduct a State-of-the-Art Literature Review.

How to Conduct a State-of-the-Art Literature Review.

Improving User Intent Detection in Urdu Web Queries with Capsule Net Architectures

Detecting the communicative intent behind user queries is critically required by search engines to understand a user’s search goal and retrieve the desired results. Due to increased web searching in local languages, there is an emerging need to support the language understanding for languages other than English. This article presents a distinctive, capsule neural network architecture for intent detection from search queries in Urdu, a widely spoken South Asian language. The proposed two-tiered capsule network utilizes LSTM cells and an iterative routing mechanism between the capsules to effectively discriminate diversely expressed search intents. Since no Urdu queries dataset is available, a benchmark intent-annotated dataset of 11,751 queries was developed, incorporating 11 query domains and annotated with Broder’s intent taxonomy (i.e., navigational, transactional and informational intents). Through rigorous experimentation, the proposed model attained the state of the art accuracy of 91.12%, significantly improving upon several alternate classification techniques and strong baselines. An error analysis revealed systematic error patterns owing to a class imbalance and large lexical variability in Urdu web queries.

Toward Efficient Similarity Search under Edit Distance on Hybrid Architectures

Edit distance is the most widely used method to quantify similarity between two strings. We investigate the problem of similarity search under edit distance. Given a collection of sequences, the goal of similarity search under edit distance is to find sequences in the collection that are similar to a given query sequence where the similarity score is computed using edit distance. The canonical method of computing edit distance between two strings uses a dynamic programming-based approach that runs in quadratic time and space, which may not provide results in a reasonable amount of time for large sequences. It advocates for parallel algorithms to reduce the time taken by edit distance computation. To this end, we present scalable parallel algorithms to support efficient similarity search under edit distance. The efficiency and scalability of the proposed algorithms is demonstrated through an extensive set of experiments on real datasets. Moreover, to address the problem of uneven workload across different processing units, which is mainly caused due to the significant variance in the size of the sequences, different data distribution schemes are discussed and empirically analyzed. Experimental results have shown that the speedup achieved by the hybrid approach over inter-task and intra-task parallelism is 18 and 13, respectively.

Modern educational digital competence of future doctors of Poland as a European state

The article examines and analyzes the acquisition of digital competence by students studying in medical education institutions in Poland. In order to fulfill the set goal, the analysis and synthesis of search results in information and reference systems was carried out in order to determine the concepts of research, methods of expert evaluation, testing, questionnaires, observation, modeling, forecasting. The process of implementing information processes in the field of health care in Poland is considered against the background of the use of digital technologies in the countries of the European Union in order to ensure the quality of education and accelerate progress towards the Sustainable Development Goals, which were presented by the United Nations and aimed at achieving a digital future for all. In cooperation with the European Commission in promoting digitalization in education, the Polish government is focused on promoting the development of a highly effective digital education ecosystem and improving digital skills and opportunities for digital transformation to ensure bridging the digital divide in education and strengthening competences. A noticeable change in the development of digital competences of students of medical education institutions in Poland is a greater emphasis on the practical use of both these competences and resources available on the Internet. The development of recommendations of Polish institutions of medical education, specifying the various branches of digital health, terminology, learning objectives, optimal approach to training, duration, evaluation method and structure, was considered. The COVID-19 pandemic has increased the importance of digital health in society. Doctors must be properly prepared to work in a new environment, where a greater share of medical care is provided by digital methods, which involves the use of digital technologies, and determines the priority need for future medical workers to acquire the relevant competencies necessary to work with remote consultation models, eHealth systems, processing of medical data.

A Multi-Group Study of Psychological Capital and Job Search Behaviours Among University Graduates With and Without Work Placement Learning Experience

We build upon the social cognitive career theory model of career self-management (SCCT-CSM) to test the effects of psychological capital constructs (hope, self-efficacy, optimism and resilience) on preparatory and active job search behaviours, mediated by job search goals in a multi-group study of university graduates who undertook work placement learning before graduation and those who did not. Using a two-wave data from 473 university fresh graduates in the one-year national youth service corps ( N = 209 who undertook work placement learning before graduation) and ( N = 264 who did not undertake work placement learning) in Nigeria, we test an SCCT-CSM-driven model employing structural equation modelling for the multi-group study. The findings revealed positive effects of self-efficacy and optimism on the preparatory and active job search behaviours across both samples but higher effects in the graduates who undertook work placement learning before graduation. Job search goals mediated the effects of self-efficacy and optimism on their preparatory and active job search behaviours in both samples. The serial mediation results show that self-efficacy and optimism indirectly affect the active job search behaviours via job search goals and preparatory job search behaviours. The implications of these results are discussed.

CreativeSearch: Proactive design exploration system with Bayesian information gain and information entropy

A spatial designer's search goal is sequentially updated during the spatial design exploration process. The design exploration process requires a proactive process that supports better-informed design decisions and refreshes the search direction to avoid being fixed; however, no study has been conducted to date. This paper describes a framework called CreativeSearch, which provides three types of guidance feedback by analyzing a spatial designer's design process. Particularly, by integrating the Bayesian Information Gain (BIG) framework and information entropy theory, CreativeSearch provides three types of guidance feedback. A user study conducted with 20 spatial designers confirmed that CreativeSearch supported them in exploring creative design ideas by lowering their mental load. Furthermore, CreativeSearch made designers proactive and supported their design decisions. The guidance feedback framework described in this paper is expected to extend the research on proactive and creative design exploration processes.

Multi-keyword searchable encryption for smart grid edge computing

Searchable encryption scheme allows users to search for encrypted data containing some keywords without decrypting data. It protects the data privacy of data owners while promoting efficient data access. The searchable encryption scheme only supports a single keyword, which is easy to cause the problem of data redundancy. It makes users have to filter again in a large amount of data. In order to achieve the search goal more accurately, researchers proposed multi-keyword searchable encryption scheme. In addition, searchable encryption schemes that only support a single keyword are vulnerable to the disclosure of user access and search pattern. Based on these two reasons, we propose a searchable encryption scheme based on multi- keyword, which supports users to input more complex retrieval requests, and users can get a better sense of search experience. At the same time, it reduces the possibility of leakage of user access and search pattern to a certain extent. We also define the security model and prove that the scheme can resist the internal keyword guessing attack under the standard model. Finally, we also compare theoretical performance with other schemes and evaluate the experimental performance of our scheme.

Formation of digital competence of future doctors in the study of the educational component «Medical informatics»

The article considers and analyzes the problem of students’ acquisition of digital competencies in the study of the educational component «Medical Informatics» in the institution of higher education. The purpose of the article is to analyze the theoretical essence and content of the concept of digital competence and the competence of future doctors in the field of digital health care. Consider digital medical education and the acquisition of digital competence by students of higher medical educational institutions of Ukraine, using as an example the acquisition of digital competence in the study of the educational component «Medical Informatics». To achieve this goal, the analysis and synthesis of search results in information systems to determine the concepts of research, methods of expert evaluation, testing, questionnaires, observation, modeling, forecasting. The process of implementation of information processes in the field of health care, which involves the use of digital technologies, and determines the priority need for future health professionals to acquire relevant practical skills vital to medical records, medical and social data, patient morbidity analysis, etc., was considered. The program of the educational component «Medical Informatics» is based on practical experience of applied medical and biological specialties and works in the context of systems and organizations of clinical and public health for the development of experiments, interventions and approaches. This depth of methods of medical informatics determines the basis of the discipline and ensures its consistency with the definition of a common set of basic digital competencies. Acquisition of basic digital competencies in the study of the educational component «Medical Informatics», which is both medical and scientific and technological areas, makes teaching medical students the basics of problems and tasks aimed at using authentic digital data and systems aimed at building future competencies of doctors in the field of medical informatics are important and necessary for a student with one basic type of education that meets the needs and career goals of the future doctor. In accordance with the requirements of the Standard, the educational component «Medical Informatics» provides students with key digital competecies, which assume that future physicians will be creative, ask the right questions, demonstrate scientific skepticism, question past approaches, and strictly apply planning methods of experiments, data analysis and assessment theory. It is established that the integrative learning outcomes, the formation of which is facilitated by the educational component «Medical Informatics» is the formation of the future doctor’s competence in the field of digital technologies.

Spatial task relevance modulates value-driven attentional capture.

Attention tends to be attracted to visual features previously associated with reward. To date, nearly all existing studies examined value-associated stimuli at or near potential target locations, making such locations meaningful to inspect. The present experiments examined whether the attentional priority of a value-associated stimulus depends on its location-wise task relevance. In three experiments we used an RSVP task to compare the attentional demands of a value-associated peripheral distractor to that of a distractor associated with the top-down search goal. At a peripheral location that could never contain the target, a value-associated color did not capture attention. In contrast, at the same location, a distractor in a goal-matching color did capture attention. The results show that value-associated stimuli lose their attentional priority at task-irrelevant locations, in contrast to other types of stimuli that capture attention.

A Re-classification of Information Seeking Tasks and Their Computational Solutions

This article presents a re-classification of information seeking (IS) tasks, concepts, and algorithms. The proposed taxonomy provides new dimensions to look into information seeking tasks and methods. The new dimensions include number of search iterations, search goal types, and procedures to reach these goals. Differences along these dimensions for the information seeking tasks call for suitable computational solutions. The article then reviews machine learning solutions that match each new category. The article ends with a review of evaluation campaigns for IS systems.

Keyword-Covered Group Enlargement Community Search

The goal of community search across attributed graphs is to locate the community that takes both attribute cohensiveness and constrained structure into account. The keyword closeness of subgraph is usually measured by similarity distance. However, existing works focus on how to find a community that has most relevant to the keywords of the query vertex through the similarity score, whereas we pay more attention to a community that can jointly cover keywords and find subgraph with the maximum core. To address this problem, we propose a novel query keyword-covered group enlargement community search [Formula: see text]. Given an initial subgraph and a set of query keywords, the [Formula: see text] search aims to find the community which satisfies the following conditions: (1) it jointly covers all query keywords; (2) it is a subgraph with the maximum core; (3) it is added the minimum vertex set that meets the conditions (1) and (2). We design a baseline enumerateKGEC algorithm ([Formula: see text]), which enumerates all the vertex combinations that cover the remaining query keywords. To further accelerate the search speed, we propose two heuristic algorithms candidate set-based algorithm [Formula: see text] and candidate set and keyword combination algorithm [Formula: see text], which can effectively speed up the search and find a feasible solution. Finally, we evaluate the performance of our algorithms on two real datasets and show effectiveness and efficiency of our algorithms for [Formula: see text] problem.

User Search Goals with Feedback Sessions Using Map-Reduce Algorithm

In the existing search results the search engine users search there results for different goals. It will be very useful for improving search engine relevance and user experience. In existing system there are so many Data mining algorithm used for searching relevant information. Rank algorithm, correlation algorithm has been used but that was not effective. In this paper introduces the map reduce algorithm for improving the search results proposed system, the data mining domain introduce the map reduce algorithm. It is effective for cross domain environment and also can use Big data for future work. The search results achieved through using feedback sessions and map reduce technique. This results of the cross domain have been improved using this technique. The experimented results show the efficiency.

Сотериологические представления старообрядцев по материалам духовных стихов

Soteriological ideas of soul salvation dominate in the Old Believers’ worldview and spread through spiritual verses. The are several motifs with soteriological meaning depending on initial goals of salvation search: staying in a true (pre-schism) orthodoxy, manifestation of spiritual resilience as well as resistance to the “servants of Antichrist” and personalized government and church representatives, and desire to keep the soul in purity escaping human sins. To reach the goal they should live a righteous life in keeping with ethical values represented in spiritual verses (love, good, humility, meekness, patience, obedience, mercy, honor, honesty, diligence etc.) and follow the rules of the living by faith (attend a church, pray, fast, honor the Christian holidays). Among the main salvation`s conditions the Old Believers` texts cite maintaining the purity of the Old Belief and unity as a method to save oneself as well as the faith in the latter times, observance, and flight from the sinful world into the place of retreat. Thus, the salvation can be achieved by the way of life (how a person acts) as well as the way of thinking. The main didactic purpose of spiritual verses developing the theme of salvation is to remind of these verities.

Proactive personality and the job search outcomes: the mediating role of networking behaviour

ABSTRACT The purpose of this study was to examine the relationship between proactive personality and job search outcomes through network size, job search clarity, and networking behavior by surveying a sample of 773 university graduates. The results revealed that proactive personality has direct and indirect effects on job seeker's job search networking behaviour and number of job interviews and job offers. Additionally, the results also indicated that people displaying high proactivity traits tend to expand their social network size and having a clear job search goal, which results in increasing their networking behaviour and job search outcomes. Our findings are discussed in terms of the understanding mechanism linking a distal variable, proactive personality, to job search results.

Predicting drift characteristics of persons-in-the-water in the South China Sea

Maritime accidents occur with alarming frequency. Finding wrecked objects accurately and efficiently is the primary goal of search and rescue (SAR) operations at sea. The objective of this study is to determine the drift characteristics of persons-in-the-water (PIWs) in the South China Sea via field experiments in conjunction with Monte Carlo simulations. A series of maritime drift experiments were carried out in the South China Sea using dummy buoys in vertical and horizontal positions to obtain 589 valid samples. This data was used to establish drift models of the dummies in two positions: the AP98 leeway drift model and the dynamics drift model. Finally, Monte Carlo simulations were used to compare the vertical PIW and horizontal PIW drift models. Results indicate that the drift trajectory of the vertical PIW is to the right of the horizontal PIW; the drift distance of the vertical PIW is smaller than that of the horizontal PIW. Their jibing frequencies are 5.3% per hour (horizontal PIW) and 7.1% per hour (vertical PIW). The dynamic drift model is more accurate than the AP98 leeway drift model for predicting vertical PIW drift trajectory. The two drift models can be used in combination, however, for the horizontal PIW. The results of this work may provide theoretical support for drift prediction of PIWs at sea, which is of great significance for maritime SAR operations in the South China Sea.

Simple shapes guide visual attention based on their global outline or global orientation contingent on search goals.

It is still unclear which features of a two-dimensional shape (e.g., triangle, square) can efficiently guide visual attention. Possible guiding features are edge orientations (single oriented shape edges; e.g., verticals during search for squares), global outlines (combination of the target edges; e.g., squares), or global orientations (specific orientations of global outlines; e.g., squares but not diamonds). Using a contingent-capture protocol, we found evidence for task-dependent guidance by the global shape outline and the global shape orientation. First, if participants searched for a shape (an equilateral triangle) independent of its pointing direction, cues with the same global shape outline as the target captured attention, even without sharing any edge orientations with the target. Second, however, if a shape's specific pointing direction was task-relevant, attentional guidance changed to the specific orientation of the global shape. Our results show that the global shape outline and the global shape orientation can both guide visual attention, contingent on the nature of the shape and the current search goals. We discuss differences between shapes (equilateral triangles and isosceles trapezoids) considering models of shape perception and conclude with a critical review of the contingent-capture protocol as a complementary method to visual search protocols. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Employing the reciprocal teaching strategy in teaching science and its impact on the achievement of second-grade intermediate students and development their health awareness

Current search goal is to identify “Employing the reciprocal teaching strategy in teaching science and its impact on the achievement of second-grade intermediate students and development their health awareness”. The research was limited on intermediate second grade female students in the center of Nineveh governorate for the academic year 2019-2020. The researcher choose experimental design which depend on two equal groups, the sample of research has formed of (72) female student they were distributed on two groups the first experimental includes (37) female student have studied by using reciprocal teaching and the second control includes (35) female student have studied by the usual way, the researcher prepared a test achievement in science formed frome (30) paragraph, kind of multiple choice for the four chapters of the second intermediate grade science textbook. And to measure the health awareness development among female students, the researcher adopted a scale (Abdullatif,2016) formed from (32) paragraph three-way alternatives. And the researcher verified the validity and reliability of the two tests, and the two scales are ready for application on the two groups female students, the statistical results showed the superiority of the experimental group female students in achievement and in developing health awareness.