Personalized Information Research Articles

Cochlear implant decision-making for children with residual hearing: Perspectives of parents

Purpose Cochlear implant (CI) decision-making is particularly challenging for families of children who have residual hearing. Parents of these children may be uncertain about whether the potential benefits of CIs outweigh the risks. This study aimed to understand parents’ decisional needs during the decision-making process for children with residual hearing. Method Semi-structured interviews were conducted with parents of 11 children who had received CIs. Open-ended questions were asked to encourage parents to share their experiences about the decision-making process, their values/preferences, and their needs. The interviews were transcribed verbatim and analyzed using thematic analysis. Results Data were organized according to three key themes: (1) Parents’ decisional conflict, (2) values and preferences, (3) decision support and parents’ needs. We found that overall parents were satisfied with their decision-making process and the decision support from practitioners. However, parents stressed the importance of receiving more personalized information that considers their specific concerns, values and preferences related to family’s circumstances. Conclusions Our research provides additional evidence to guide the CI decision-making process for children with residual hearing. Additional collaborative research with audiology and decision-making experts specifically on facilitating shared decision-making is needed to provide better decision coaching for these families.

Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM Network.

The accurate detection of emotions has significant implications in healthcare, psychology, and human-computer interaction. Integrating personality information into emotion recognition can enhance its utility in various applications. The present study introduces a novel deep learning approach to emotion recognition, which utilizes electroencephalography (EEG) signals and the Big Five personality traits. The study recruited 60 participants and recorded their EEG data while they viewed unique sequence stimuli designed to effectively capture the dynamic nature of human emotions and personality traits. A pre-trained convolutional neural network (CNN) was used to extract emotion-related features from the raw EEG data. Additionally, a long short-term memory (LSTM) network was used to extract features related to the Big Five personality traits. The network was able to accurately predict personality traits from EEG data. The extracted features were subsequently used in a novel network to predict emotional states within the arousal and valence dimensions. The experimental results showed that the proposed classifier outperformed common classifiers, with a high accuracy of 93.97%. The findings suggest that incorporating personality traits as features in the designed network, for emotion recognition, leads to higher accuracy, highlighting the significance of examining these traits in the analysis of emotions.

Why Forced-Choice and Likert Items Provide the Same Information on Personality, Including Social Desirability

The forced-choice response format is often considered superior to the standard Likert-type format for controlling social desirability in personality inventories. We performed simulations and found that the trait information based on the two formats converges when the number of items is high and forced-choice items are mixed with regard to positively and negatively keyed items. Given that forced-choice items extract the same personality information as Likert-type items do, including socially desirable responding, other means are needed to counteract social desirability. We propose using evaluatively neutralized items in personality measurement, as they can counteract social desirability regardless of response format.

A Personalized Alarm Distribution Approach Based on Collaborative Filtering in New-type Power System

Due to the complexity and heterogeneous characteristics of the information system architecture of the new-type power system, once a fault occurs during operation, a large number of alarm information will be generated. In order to improve the efficiency of operation and maintenance (O&M) personnel and minimize the loss caused by failures, a collaborative filtering algorithm is introduced to provide personalized alarm information distribution. Each alarm is preferentially assigned to O&M personnel with high processing probability, so that O&M personnel can receive alarm information they can handle. In addition, the minimum distribution number is limited to ensure that each alarm can be received by enough O&M personnel. Finally, experiments show that the proposed method can effectively improve the O&M efficiency and improve the fault recovery capability of the new-type power system.

Impact of Technical Training and Personalized Information Support on Farmers’ Fertilization Behavior: Evidence from China

Improving farmers’ fertilization behavior through technical training is conducive to reducing agricultural non-point source pollution and maintaining soil health. The existing studies mainly discuss the impact of technical training on the adoption of soil testing formula fertilization (STFF) from the perspective of judging the training effect, but there are few further answers to how to improve the effect of technical training. Based on the theory of planned behavior and training transfer, this study adopted a logit model and OLS model to explore the role of training in the adoption of STFF, as well as the moderation effect of personalized information support. An empirical test was carried out using the survey data of farmers in Zhejiang Province, China. The results showed that participating in technical training is beneficial for farmers in adopting STFF, and receiving personalized information support can strengthen the promotion effect of technical training on the adoption of STFF. Further analysis reveals that there are certain differences in the above relationships among farmers with different operating scales. The findings could facilitate a deeper understanding of the improvement of technical training performance and accumulation of rural human capital and could also provide a useful reference for the policy formulation to optimize farmers’ fertilization behavior and promote sustainable agricultural development.

Occupational therapy improves social participation of complex patients discharged from hospital: results of a powered randomized controlled trial

Purpose To verify the effectiveness of experimental occupational therapy plus intensive standard rehabilitation compared to intensive standard rehabilitation alone on the reintegration to social activities of complex patients three months after hospital discharge. Materials and methods Patients with a score ≥ 9 on the Rehabilitation Complexity Scale at admission to an intensive rehabilitation ward were randomized to the control or experimental group. Both groups received intensive multidisciplinary rehabilitation aimed at recovering independence in the basic activities of daily life (ADL). The experimental group also received experimental occupational therapy services to address goals identified through the administration of the Canadian Occupational Performance Measure (COPM). Experimental occupational therapy began during the in-hospital phase and continued in the home-based setting. It consisted of teaching strategies, recommending aids, and providing personalized information regarding available community support. Results Ninety-two individuals with a mean age of 65 years (female 44.6%) were enrolled. The experimental group significantly improved participation measured by the Reintegration to Normal Living Index (mean changes 8.61, 95% CI: 1–16.23, p = 0.027). The performance and satisfaction scores of the COPM, both during hospitalization and after discharge, and independence in ADL also improved. No differences in mood disturbances were found. Conclusion Early post-discharge occupational therapy integrated with multidisciplinary rehabilitation improves the social participation of complex patients. Future research should investigate the concrete feasibility of implementing this complex intervention cost-effectively and in different contexts. Trial registration ClinicalTrials.gov Identifier NCT03668938 (first posted date 13/09/2018)

JURIDICAL REVIEW LEGAL PROTECTION ON THE USE OF CUSTOMER DATA BY BRI BANK KC GORONTALO CITY

The use of customer data is crucial in the banking world, especially in the increasingly advanced digital era. The purpose of this study is to find out how the scheme of using customer data by banks and how to overcome if there is a data leak. The method used is to use sociological juridical research methods, using descriptive qualitative research approaches and interactive analysis techniques. The results of this study are: Problems arise because the issue of data protection problems and customer information in Indonesia has become a new problem in the banking world. On the other hand, adequate forms of protection for a customer's right to privacy have not been implemented into legal instruments. Similarly, the existence of various laws that have the authority to manage a person's data and information is not given a limit to avoid violations that result in unprotected data and information of a person.

PENGARUH SISTEM INFORMASI SUMBER DAYA MANUSIA DAN KINERJA KARYAWAN TERHADAP EFEKTIVITAS ORGANISASI

An employee's work productivity and work efficiency are not in perfect harmony. This is due tothe sub-optimal implementation of personal information systems and the staff performance of Bhina Raharja Savings and Loan Cooperative. The purpose of this study is to investigate theim pactof HR information systems and employee performance on the organizational performance of Bhina Raharja employees.
 Thetypeofre searchis descriptive and very fiable through survey methods. The main population of this study was the employees of Bhina a The sampling technique used is saturated sampling technique. The data collection technique for this study was a questionnaire using a Likert scale. The analytical tool of this study is multiple linear regression analysis, coefficient determination analysis, which was previously conducted as a classical hypothesis test and then tested the hypothesis.
 The results show edthat the person information system and personnel performance hada positive and significante ffecton organizational efficiency both partially and simultan eously.

Beyond heat exposure — new methods to quantify and link personal heat exposure, stress, and strain in diverse populations and climates: The journal Temperature toolbox

ABSTRACT Fine-scale personal heat exposure (PHE) information can help prevent or minimize weather-related deaths, illnesses, and reduced work productivity. Common methods to estimate heat risk do not simultaneously account for the intensity, frequency, and duration of thermal exposures, nor do they include inter-individual factors that modify physiological response. This study demonstrates new whole-body net thermal load estimations to link PHE to heat stress and strain over time. We apply a human-environment heat exchange model to examine how time-varying net thermal loads differ across climate contexts, personal attributes, and spatiotemporal scales. First, we investigate summertime climatic PHE impacts for three US cities: Phoenix, Miami, and New York. Second, we model body morphology and acclimatization for three profiles (middle-aged male/female; female >65 years). Finally, we quantify model sensitivity using representative data at synoptic and micro-scales. For all cases, we compare required and potential evaporative heat losses that can lead to dangerous thermal exposures based on (un)compensable heat stress. Results reveal misclassifications in heat stress or strain due to incomplete environmental data and assumed equivalent physiology and activities between people. Heat strain is most poorly represented by PHE alone for the elderly, non-acclimatized, those engaged in strenuous activities, and when negating solar radiation. Moreover, humid versus dry heat across climates elicits distinct thermal responses from the body. We outline criteria for inclusive PHE evaluations connecting heat exposure, stress, and strain while using physiological-based methods to avoid misclassifications. This work underlines the value of moving from “one-size-fits-all” thermal indices to “fit-for-purpose” approaches using personalized information.

The role of personality traits and the ability to detect fake news in predicting information avoidance during the COVID-19 pandemic

PurposeThe objective of this study was to investigate the impacts of personality traits and the ability to detect fake news on information avoidance behavior. It also examined the effect of personality traits on the ability to detect fake news.Design/methodology/approachThe sample population included Shiraz University students who were studying in the second semester of academic year 2021 in different academic levels. It consisted of 242 students of Shiraz University. The Big Five theory was used as the theoretical background of the study. Moreover, the research instrument was an electronic questionnaire consisting of the three questionnaires of the ability to detect fake news (Esmaeili et al., 2019, inspired by IFLA, 2017), the Big Five personality traits (Goldberg, 1999) and information avoidance (Howell and Shepperd, 2016). The statistical methods used to analyze the data were Pearson correlation and stepwise regression, which were performed through SPSS software (version 26).FindingsThe results showed that from among the five main personality factors, only neuroticism had a positive and significant effect on information avoidance. In addition, the ability to detect fake news had a significant negative effect on information avoidance behavior. Further analyses also showed positive and significant effects of openness to experience and extraversion on the ability to detect fake news. In fact, the former had more predictive power.Practical implicationsFollowing the Big Five theory considering COVID-19 information avoidance and the ability to detect COVID-19 fake news, this study shifted the focus from environmental factors to personality factors and personality traits. Furthermore, this study introduced the ability to detect fake news as an influential factor in health information avoidance behaviors, which can be a prelude for new research studies.Originality/valueThe present study applied the five main personality factors theory in the context of information avoidance behavior and the ability to detect fake news, and supported the effect of personality traits on these variables.

Use of the Behaviour Change Wheel to design an intervention to improve the provision of mental wellbeing support within the audiology setting

ObjectiveThis study describes the development of an intervention to increase the frequency of audiologists’ asking about and providing information regarding mental wellbeing within adult audiology services.DesignThe Behaviour Change Wheel (BCW), an eight-step systematic process, was followed to develop the intervention. Reports describing the first four steps are published elsewhere. This report describes the final four steps and details the intervention developed.ResultsA multifaceted intervention was developed to change audiologists’ behaviours relating to providing mental wellbeing support to adults with hearing loss. Specifically, three behaviours were targeted: (1) asking clients about their mental wellbeing, (2) providing general information on the mental wellbeing impacts of hearing loss, and (3) providing personalised information on managing the mental wellbeing impacts of hearing loss. A variety of intervention functions and behaviour change techniques were incorporated into the intervention, including instruction and demonstration, information about others approval, adding objects to the environment, use of prompts/cues, and endorsement from credible sources.ConclusionThis study is the first to use the Behaviour Change Wheel to develop an intervention targeting mental wellbeing support behaviours in audiologists and confirms the usability and usefulness of the approach in a complex area of clinical care. The systematic development of the Ask, Inform, Manage, Encourage, Refer (AIMER) intervention will facilitate a thorough evaluation of its effectiveness in the next phase of this work.

NPR-LBN: next point of interest recommendation using large bipartite networks with edge and cloud computing

During the last decades, tourism has been augmented worldwide through which the diversity of tourists’ interests is increased and is challenging to tackle with the traditional management system. Such challenges can be overcome by LBSNs (Location-Based Social Networks) such as Yelp, Foursquare, and Facebook which help to collect more personalized information close to tourists’ preferences/interests like check-ins, comments, and reviews. In this regard, solutions have been proposed to exploit the POI (Point of Interest) recommendation, but they failed to overcome sparsity and cold-start problems. Existing methods are also not focusing on important aspects, including geographical context, dynamics preferences and social influence, which are essential factors in POI recommendation. Therefore, this work tried to incorporate these factors and present a unified model using bipartite networks to learn users and POI dynamics. For this purpose, we have represented all the factors using eleven networks and combined them into a single latent space. In addition, Edge Computing processes data at the network's edge, reducing latency and bandwidth usage and enabling real-time and personalized recommendations. Furthermore, cloud computing could be used to store and process the large amounts of data collected from LBSNs, to support the proposed model's computational requirements and make it more accessible and scalable, allowing it to be easily used by tourism management systems worldwide. Experimental results show that our model outperforms state-of-the-art methods using real-world dataset in terms of accuracy and perform better against sparsity and cold-start problems.

Hearing loss classification algorithm based on the insertion gain of hearing aid

AbstractHearing loss is one of the most prevalent chronic health problems worldwide and a common intervention is the wearing of hearing aids. However, the tedious fitting procedures and limited hearing experts pose restrictions for the popularity of hearing aids. This paper introduced a hearing loss classification method based on the insertion gain of hearing aids, which aims to simplify the fitting procedure and achieve a fitting-free effect of the hearing aid, in line with current research trends in key algorithms for fitting-free hearing aids. The proposed method innovatively combines the insertion gain of hearing aids with the covariates of patient’s gender, age, wearing history to form a new set of hearing loss vectors, and then classifies the hearing loss into six categories by unsupervised cluster analysis method. Each category of representative parameters characterizes a typical type of hearing loss, which can be used as the initial parameter to improve the efficiency of hearing aid fitting. Compared with the traditional audiogram classification method AMCLASS (Automated Audiogram Classification System), the proposed classification method reflect the actual hearing loss of hearing impaired patients better. Moreover, the effectiveness of the new classification method was verified by the comparison between the obtained six sets of representative insertion gains and the inferred hearing personalization information.

Out of Sight Out of Mind: Household Perceptions of “Fair” Water Prices in Nairobi, Kenya

AbstractProviding piped water and sewer services is extremely capital intensive, yet most of this infrastructure is buried, hidden from citizens and ratepayers. Roman emperors built elaborate public fountains to increase the salience of massive infrastructure investments to the public, yet modern households give scarce thought to the water network that serves them. At the same time, tariffs are often too low to recover operations and maintenance costs, let alone capital replacement and system expansion. We use a field experiment to investigate whether providing 353 households in Nairobi, Kenya with information about the water infrastructure that serves them changes their perceptions of water and sewer bills. Compared to a control group, we find that providing households verbal and visual information (in person) about the capital intensity of water service delivery in Nairobi increased their perceptions of “fair” water bills by 15%–24% above the control mean of 404 KSH/mo.

A qualitative exploration of the rehabilitation perceptions and experiences of persons with early multiple sclerosis.

Since the advent of disease-modifying therapies (DMTs), people with MS are living longer. The management of MS requires use of DMTs, symptom management, and prevention for those with access to these aspects of health care. Although DMTs are used as part of early intervention to manage disease pathophysiology in those with MS, physical rehabilitation still focuses on symptomatic management of MS (tertiary prevention) and has not embraced a primary or secondary prevention approach to holistically manage MS. Although rehabilitation has been found to be beneficial for people with MS, there is currently limited information for persons in their early years of MS diagnosis. More importantly there is limited engagement of persons with early MS in rehabilitation care. Thus, the purpose of this study was to elucidate the perceptions of people living with early MS and their overall experiences with physical rehabilitation for MS management. The study team used semi-structured interviews to collect qualitative data to ascertain the experiences and perceptions of 15 persons with early MS who were within 5 years of diagnosis (mean age 36.5±10.4 years). Using a phenomenological approach, the researchers sought to understand the lived experiences of 15 people living with early MS. Using inductive thematic analysis, authors coded each interview separately and arrived at themes with consensus. Our study discovered six main themes and several subthemes offering insight into the lived experiences of the participants. Themes uncovered included: insight to condition, awareness of rehabilitation, resource availability, information seeking, clinician expertise in MS, and therapeutic use of self. Our study offered a small but poignant glimpse into the lived experiences of people living with early MS. There is still poor public awareness of MS-specific rehabilitation and its benefits for people with early MS. People with early MS seek information about their diagnosis but information and resources that are reliable and easily accessible are still needed, especially from their neurologists, to improve engagement in MS-specific rehabilitation. More research exploring these experiences and more diversity in the participant pool would lead to best practices in physical rehabilitation.

Perceptions of an Interactive Trauma Recovery Information Booklet.

Previous research has shown that people with traumatic injuries have unmet information needs with respect to their injuries, management, and recovery. An interactive trauma recovery information booklet was developed and implemented to address these information needs at a major trauma center in Victoria, Australia. The aim of this quality improvement project was to explore patient and clinician perceptions of a recovery information booklet introduced into a trauma ward. Semistructured interviews with trauma patients, family members, and health professionals were undertaken and thematically analyzed using a framework approach. In total, 34 patients, 10 family members, and 26 health professionals were interviewed. Overall, the booklet was well accepted by most participants and was perceived to contain useful information. The design, content, pictures, and readability were all positively appraised. Many participants used the booklet to record personalized information and to ask health professionals questions about their injuries and management. Our findings highlight the usefulness and acceptability of a low-cost interactive booklet intervention to facilitate the provision of quality of information and patient-health professional interactions on a trauma ward.

The Importance of Diverse User Goals When Designing an Automated COVID Risk Counselor

The COVID-19 Pandemic has required everyone to understand and respond to the ever-evolving threats during daily life. The overall goal of our work is to develop a system based on an interactive conversational agent that functions as a ‘risk counselor’ by providing personalized information to people who have concerns about the risk of COVID infection when participating in daily situations. Such a system could also be useful for people who have concerns about other kinds of infection (e.g., HIV), and more broadly, risk in other domains (e.g., radon exposure in the home). As an initial step, we conducted MTurk surveys to elicit people’s concerns about COVID risk in daily situations. A key takeaway from this study is that when designing an agent, there needs to be a better framing of risk-related recommendations about daily situations, which may be particularly effective for educating people about the risk and encouraging actions that address risk. This framing should also address diverse user goals, including emotional responses, uncertainty, planning, and opinions about these situations.

Personalized Help-Seeking Web Application for Chinese-Speaking International University Students: Development and Usability Study.

The mental health of international students is a growing concern for education providers, students, and their families. Chinese international students have low rates of help seeking owing to language, stigma, and mental health literacy barriers. Web-based help-seeking interventions may improve the rate of help seeking among Chinese international students. This study aimed to describe the development of a mental well-being web app providing personalized feedback and tailored psychoeducation and resources to support help seeking among international university students whose first language is Chinese and test the web application's uptake and engagement. The bilingual MindYourHead web application contains 6 in-app assessments for various areas of mental health, and users are provided with personalized feedback on symptom severity, psychoeducation tailored to the person's symptoms and information about relevant interventions, and tailored links to external resources and mental health services. A feasibility study was conducted within a school at the University of Sydney to examine the uptake and engagement of the web application among Chinese international students and any demographic characteristics or help-seeking attitudes or intentions that were associated with its engagement. A total of 130 Chinese international students signed up on the web application. There was an uptake of 13.4% (122/908) in the schools' Chinese student enrollment. Most participants (76/130, 58.5%) preferred to use the web application in Chinese and used informal but not formal help for their mental health. There was considerable attrition owing to a design issue, and only 46 students gained access to the full content of the web application. Of these, 67% (31/46) of participants completed 1 or more of the in-app mental well-being assessments. The most commonly engaged in-app assessments were distress (23/31, 74%), stress (17/31, 55%), and sleep (15/31, 48%), with the majority scoring within the moderate- or high-risk level of the score range. In total, 10% (9/81) of the completed in-app assessments led to clicks to external resources or services. No demographic or help-seeking intentions or attitudes were associated with web-application engagement. There were promising levels of demand, uptake, and engagement with the MindYourHead web application. The web application appears to attract students who wished to access mental health information in their native language, those who had poor mental health in the past but relied on informal support, and those who were at moderate or high risk of poor mental well-being. Further research is required to explore ways to improve uptake and engagement and to test the efficacy of the web application on Chinese international students' mental health literacy, stigma, and help seeking.

The Role of Mothers with Adolescent Readiness which will Menarche at Jolotundo 2 Jetis Elementary School, Mojokerto: Correlation Study

Menarche is the first time menstruation that happened in early adolescent. One factor that affects the readiness of young people in the face of menarche is the source of information of the nearest person is the mother. The role of a good mother would give a good readiness also to his daughter to confront menarche. This research proposed to investigate the role of mother's relationship with the adolescent readiness to confront menarche. Design of research is an analytic correlation with cross sectional approach. The population in this research were 26 girls who have not experienced menarche at SDN Jolotundo 2 Jetis Mojokerto District. The techniques samples used a total of sampling with respondents 26 girls who have experienced menarche.The data collection is done by used a questionnaire research instrument roles of mothers and adolescents readiness. Data processing and data analysis using cross tabulation. The results of research obtained the role of a mother who less good tend to have adolescents readiness was not ready to confront of menarche is 16 people (94,1%), while respondents who have the role of a good mother is likely to have a ready readiness to confront menarche is 7 people (77.8%), which means that there is relationship readiness role of mothers with adolescent readiness confront menarche. Expected for the mother can give education about it what need to be preapared by her daughter in the confront of menarche in order to be able to form the readiness her daughter in the confront of menarche.
 Keywords: adolescent readiness, menarche, the role of mothers

Good conduct makes your face attractive: The effect of personality perception on facial attractiveness judgments.

Human facial attractiveness is related to physical features, such as clear complexion and symmetry. However, it is also known that facial attractiveness judgments are influenced by a wide range of non-physical factors. Here, we examined the effect of the personality information of a target person on facial attractiveness judgments. In Experiment 1, participants read a verbal description of a target person (high or low honesty), followed by the presentation of the target face and facial attractiveness rating. The honest personality increased the rated facial attractiveness, replicating a previous report. This "honesty premium" effect was independent of pre-rated facial attractiveness (Experiment 1), target gender, participant gender, and target clothing (Experiment 2). Experiment 3 found that creative personality did not affect facial attractiveness ratings, while an aggressive personality was suggested to decrease the rated facial attractiveness of male targets. We did not find evidence that participants' moods caused these effects. The results suggest that the "what is good is beautiful" stereotype is robust and that facial attractiveness is malleable and dependent on various physical and non-physical information.