User Desires Research Articles

A fuzzy cognitive map model to calculate a user's desirability based on personality in e-learning environments

The recent research in artificial intelligence shows an increasing interest in the modeling of human behavior factors such as personality, mood, and emotion for developing human-friendly systems. That is why there is an interest in developing models and algorithms to determine a human's emotions while interacting with a system to improve the quality of the interaction. In this paper, we propose a computational model to calculate a user's desirability based on personality in e-learning environments. The desirability is one of the most important variables in determining a user's emotions. The model receives several e-learning environmental events and predicts the desirability of the events based on the user's personality and his/her goals. The proposed model has been evaluated in a simulated and real e-learning environment. The results show that the model formulates the relationship between personality and emotions with high accuracy.

The impact of online real-time interactivity on patronage intention: The use of avatars

The objective of this paper is to examine the impact of online real-time interactivity on the desire of users to visit and to purchase products/services from the company in the future. Online real-time interactivity has been increased by the use of avatars. We also investigated the antecedents of online real-time interactivity by focusing on trust, emotional appeal, and social presence. As far as the methodology is concerned, we designated companies using avatars on their websites. We asked respondents to visit these websites and then fill in our questionnaire. We received 945 questionnaires back. As we had several latent variables, we used partial least squares (PLS), a variance-based structural equation modeling method. The results show that online real-time interactivity significantly increases the patronage intention. The results also illustrate the impact of the degree of trust and the emotional appeal on user's perception about the online real-time interactivity. Nevertheless, the impact of the emotional appeal is less relevant compared to the degree of trust. Moreover, the degree of trust in the information found on the website explains user's emotional appeal during the conversation. Finally, avatar's social presence has a significant impact on trust and emotional appeal. Our results have immediate and direct implications for avatars' developers and companies who want to invest in improving the real-time interactivity of their website.

Measuring the influence of bus service quality on the perception of users

ABSTRACTEncouraging the use of public transport is a key policy goal in many countries. Therefore, public transport should offer the level of quality that accommodates the demands of current users, and importantly, the desires of potential users. This study investigates the influence of the perceived quality of bus service on the perception of both current and potential users. The study draws upon data from 512 questionnaires distributed across Belfast City in the UK. The study utilises a binary logistic regression model to quantify the relationships between the perceived quality of 29 bus indicators (independent) and the perceptions of users towards the overall bus service (dependent). Eleven significant indicators are reported to have significant influence on the perception of users. These indicators are utilised to propose scenarios for optimising the quality of bus service with the perceptions of current and potential users.

Perceptions and Truth: A Mechanism Design Approach to Crowd-Sourcing Reputation

We consider a distributed multi-user system where individual entities possess observations or perceptions of one another, while the truth is only known to themselves, and they might have an interest in withholding or distorting the truth. We ask the question whether it is possible for the system as a whole to arrive at the correct perceptions or assessment of all users, referred to as their reputation, by encouraging or incentivizing the users to participate in a collective effort without violating private information and self-interest. Two specific applications, online shopping and network reputation, are provided to motivate our study and interpret the results. In this paper we investigate this problem using a mechanism design theoretic approach. We introduce a number of utility models representing users' strategic behavior, each consisting of one or both of a truth element and an image element, reflecting the user's desire to obtain an accurate view of the other and an inflated image of itself. For each model, we either design a mechanism that achieves the optimal performance (solution to the corresponding centralized problem), or present individually rational sub-optimal solutions. In the latter case, we demonstrate that even when the centralized solution is not achievable, by using a simple punish-reward mechanism, not only a user has the incentive to participate and provide information, but also that this information can improve the system performance.

The most potential principles of social media

In this hyper-competitive and dynamic contemporary social media era, the need to satisfy a broad range of diversified users can present a challenge to technology companies. In order to identify the most potential principles of social media, this research paper cross-applies the Quality Function Deployment of House of Quality (QFD-HOD) method and the Multiple Criteria Decision Making (MCDM) method to synthetically cross-evaluate the results of completed questionnaires given to experts across various fields. This evaluation is done through interplay analyses of sixteen social media user desires (WHATs) and sixteen social media technological functions (HOWs). To further strengthen the research reliability and validity, the Analytical Network Process (ANP) model is applied to re-testify these measured consequences from an individual, group and environmental perspectives employing the Social Cognitive Theory (SCT). The results conclude that the five most significant social media principles are multiple device accessibility, content reality, individualizational, keyword-search engine and identity feature functions that will largely fulfill the needs of social media users.

Soft Actuation: Smart Home and Office with Human-in-the-Loop

Considerable effort the area of context-aware systems goes into applications that process sensor data to proactively drive actuators. However, there are concerns about such fully automated operation. Most notably, due to imperfect context inferences, actuating decisions can be contrary to the user's desires. In this article, the authors focus on what they refer to as soft actuation: issuing low-key, nonverbal hints prompting the user to optionally perform a simple manual operation on a nearby object. Soft actuation targets noncritical applications for the home or office. In the spirit of calm technology, special care is taken to respect the user's attention. The authors elaborate the interaction concept and present its experimental evaluation in the wild. The results are encouraging, given that users liked the soft-actuating system and accepted quite a few hints.

Automated Generation of Repeated Geometric Patterns for Customized Additively Manufactured Personal Products

Aesthetic patterning of free-form surfaces is difficult and time consuming, especially for a non-expert user of a 3D Computer-aided design (CAD) system. This paper presents a computational method for automatically generating aesthetic patterns based on minimal user input. The system produces anisotropic geometric feature patterns in three-steps: (1) model preparation, (2) feature interpolation via a tensor field and bubble packing, and (3) pattern generation on a selected surface using standard Boolean operations and CAD engine primitives (e.g., points, planes, and ellipses). The user inputs a small number of geometric features called “seed features” with the desired size and orientation in preferred locations within the target area. The tool generates the location, anisotropic size, and orientation of geometric features while preserving the target-area boundaries. These geometric seed features are then transformed into tensors and used as boundary conditions to generate a Riemannian metric tensor field that represents the anisotropic attributes of the features. A form of the Laplace's heat equation is used to produce the field over the target domain which is subject to the specified boundary conditions. The structure and the field described by Laplace's equation determines the geometric features and increases them whenever this field has the greater value. Repeated geometric patterns are then generated on a free-form curved surface by packing elliptical cells. This process was developed as an add-on for a commercial CAD package. All the features can be edited further within the CAD software if the user desires. In this paper we demonstrate the application of the proposed automated patterning method to additively manufactured personal products.

1F1-3 「使い続けたい」と感じるプロダクトの要件抽出とその評価方法の提案

1F1-3 「使い続けたい」と感じるプロダクトの要件抽出とその評価方法の提案

Cultivating Connections in 140 Characters: A Case Study of Twitter Relationship Building

Social media use is ubiquitous in the United States. Not surprisingly, an academic debate has emerged about whether or not computer-mediated communication facilitates or hurts interpersonal relationships. This exploratory case study adds to the conversation by assessing how Twitter users in the Wichita, Kansas community view the impact of Twitter on their social lives, specifically, communication and relationships. Using a grounded theory approach and inductive thematic analysis, this paper analyzed data from a two-phase study involving key informant interviews (N=15) and six focus groups (N = 32). Three themes emerged: Twitter and professional relationships; Twitter and personal relationships, and Twitter and community. Analysis indicated that Twitter is a robust tool used to build and maintain interpersonal and community relationships that range from shallow and impersonal to deep and meaningful, depending on the desires of users, all in 140 characters or less.

Service users' experiences of participation in decision making in mental health services

Despite the potential positive impact of shared decision making on service users knowledge and experience of decisional conflict, there is a lack of qualitative research on how participation in decision making is promoted from the perspective of psychiatric service users. This study highlights the desire of users to participate more actively in decision making and demonstrates that persons with SMI struggle to be seen as competent and equal partners in decision-making situations. Those interviewed did not feel that their strengths, abilities and needs were being recognized, which resulted in a feeling of being omitted from involvement in decision-making situations. The service users describe some essential conditions that could work to promote participation in decision making. These included having personal support, having access to knowledge, being involved in a dialogue and clarity about responsibilities. Mental health nurses can play an essential role for developing and implementing shared decision making as a tool to promote recovery-oriented mental health services. Service user participation in decision making is considered an essential component of recovery-oriented mental health services. Despite the potential of shared decision making to impact service users knowledge and positively influence their experience of decisional conflict, there is a lack of qualitative research on how participation in decision making is promoted from the perspective of psychiatric service users. In order to develop concrete methods that facilitate shared decision making, there is a need for increased knowledge regarding the users' own perspective. The aim of this study was to explore users' experiences of participation in decisions in mental health services in Sweden, and the kinds of support that may promote participation. Constructivist Grounded Theory (CGT) was utilized to analyse group and individual interviews with 20 users with experience of serious mental illness. The core category that emerged in the analysis described a 'struggle to be perceived as a competent and equal person' while three related categories including being the underdog, being controlled and being omitted described the difficulties of participating in decisions. The data analysis resulted in a model that describes internal and external conditions that influence the promotion of participation in decision making. The findings offer new insights from a user perspective and these can be utilized to develop and investigate concrete methods in order to promote user's participation in decisions.

Personas Help Understand Users' Needs, Goals and Desires in an Online Institutional Repository

Personas Help Understand Users' Needs, Goals and Desires in an Online Institutional Repository

Design Implications: Impact of Socio-Physical Setting on Public Housing Transformation in Nigeria

Scholars claim physical surroundings as concrete manifest of space organisation. Its arrangement delineates spatial relationship of social activities’ network within housing units. Yet, housing challenges in Nigerian cities portray minimal sensitivity to socio-physical attributes impacting public housing adjustments. Focusing on users’ adjustments experience and emphasising on socio-physical environmental impact, public housing dwellers were examined to ascertain the socio-physical impact on housing adjustments initiatives. A survey with 276 households conducted in ten public housings in northern states of Nigeria, evaluated users’ experience on socio-physical model of housing adjustment. Features of Building attributes; Neighbourhood influence; Technology; Plot size and Quality of urban living standards were explored using questionnaire forms and analysed by SEM. The result shows significant influence of socio-physical constituents on homeowners housing adjustment decisions. This implies the need to review design policies and developers culture responsive design innovative initiatives harmonising the emic and etic paradigms based on user desires.

PERANCANGAN ALAT PENGENDALI LISTRIK JARAK JAUH DENGAN ANDROID UNTUK PENGHEMATAN BIAYA LISTRIK

Microcontroller is a microcomputer and microprocessor technology breakthrough, which has been widely used in electronic circuit applications. By utilizing the functionality of a microcontroller and android application, then the application will be made an electric appliance remote control with android. The purpose of this application to meet the needs of people who have mobility is high enough to offset the price of electricity is high enough. This application uses the android application to allow users to remotely control electricity. Electrical home will be on / off as the user desires. Application of electric remote control makes it easy to control remote history of electricity, especially for people who need mobility is high enough and wants everything very practical. Keyword : Microcontroller ATMEGA 16, Electrical, Android.

Automatic monitoring of cyberbullying on social networking sites: From technological feasibility to desirability

The automatic monitoring of cyberbullying on social networking sites has potential for signalling harmful messages, preventing these messages from remaining online and providing timely responses. Although technological advancements are made to optimise automatic cyberbullying detection systems, little is known about its desirability and requirements. Experts in the field of cyberbullying, as excellent sources of valuable insight into these issues, were solicited based on three open-ended questions relating to the desirability of automatic monitoring. Answers were examined through qualitative content analysis.Of the 179 experts contacted, 50 (28%) responded. Most of these experts favoured automatic monitoring, but specified clear conditions under which such systems should be implemented, including effective follow-up strategies, protecting the adolescents’ privacy and safeguarding their self-reliance.Follow-up strategies should focus on preventing future cyberbullying and empowering the parties involved. The majority of respondents suggested priorities for detection, including threats and the misuse of pictures. Despite generally positive opinions, several experts harboured doubts regarding desirability and feasibility.Appropriate follow-up strategies should be determined according to severity, and be tested for effectiveness. Future research should involve the views of adolescents and parents with regard to user desirability and prioritisation of cyberbullying detection, as well as views from social network providers.

English

Web prediction is a classification problem in which we try to predict the preceding set of Web pages in which a user may visit supported on the knowledge of the previously visited pages. While serving the Internet user's behavior prediction can be applied effectively in various critical applications. Such application has usual tradeoffs between modeling complexity and prediction accuracy. In this paper we proposed artificial neural network (ANN) for predicting web by the user. In addition modified Markov model has been analysed and presented in prediction of web. A prediction framework uses ANN based on the training samples. By doing this the proposed framework shows the improved prediction time without compromising prediction accuracy. Web prediction is a classification scheme in which the next set of Web pages is predicted that user may visit pages depends on the knowledge of the previously visited pages. This information of user's history of navigation within a period of time is said to be session. These sessions provides source of data for training which are extracted from the logs of the Web servers, and they hold series of pages that users have visited with the visit date and duration. The Web prediction problem (WPP) can be simplified and utilized in major industrial applications such as wireless applications, caching systems and search engines. Consequently, it is critical to look for practical solutions in which it improves both prediction and training processes. The prediction process can be improved to reduce the user's access times during browsing, and it can simplify the network traffic by neglecting visiting needless pages. Once a prediction model for a definite Web site is available, the search engine can utilize it to cache the next set of pages that the users might visit. Those caching eases the latency problem of out looking Web documents certainly at the time of Internet traffic congestion periods. An additional extensive application of Web prediction is personalization, wherein users are sorted based on their desires and interests. The interests and desires of users are confined along with the previously visited sorted Web pages. Moreover, in the wireless domain, Web prediction in mobile is utilized to minimize the number of clicks required in wireless devices such as PDAs and smart phones that assists to alleviate problems related to the display size restrictions. The challenges in web prediction of both preprocessing and prediction are an issue now-a-days. Preprocessing challenges comprise handling huge amount of data that cannot fit in the computer memory, selecting optimum sliding window size, recognizing sessions, and extracting domain information. Prediction challenges comprise long prediction/ training time, memory limitation and low prediction accuracy.

What about people in cycle network planning? applying participative multicriteria GIS analysis in the case of the Athens metropolitan cycle network

The bicycle is gaining ground as an inexpensive, fast, healthy, and enjoyable mode of transport, but the development of cycle infrastructures appears to be a necessary prerequisite for supporting further growth in cycling rates. Thus far, few studies have developed comprehensive methodologies for the prioritisation of cycling infrastructure investments, and the role of end users has been underestimated in this process. The unique relationship that cyclists develop with the bicycle itself, their co-cyclists, bicycle facilities, and the urban environment as a result of sensory, kinaesthetic, symbolic, or even political reasons can assist in designing cycle facilities that are more efficient and closer to fulfilling the needs and desires of users. We propose a comprehensive four-step methodology for cycle network planning, which both accounts for the city structure and the zones in which higher cycling demand is possible and uses participative multicriteria GIS processes to incorporate cyclists’ views with regard to choosing the cycle network segments. Our case study is Athens, Greece, where cycling facilities are few and heavily fragmented, although cycling demand has recently grown. This methodology may be useful for cities attempting to introduce and prioritise cycling infrastructures because it focuses on determining where cyclists would prefer to cycle to make such investments more successful in attracting users.

EcoSmart: A Survey and Sector Analysis of Mobile Phone Application Market for Fuel Consumption Reduction

The spread of Smartphones and Tablets has led to the birth and the development of a new business: mobile applications on smartphones. Mobile telephonys continuous growth implies a large number of users that can access all applications of online stores. Mobile business is evolving continuously and offers applications that grant many different innovative services and at the same time mobile business offers many opportunities of development for companies and corporations because participating this new sector is becoming more and more required to improve performances and competitiveness. The purpose of this paper is a quantitative analysis of the smartphone application market through a survey of users desires and an analysis of different mobile application features and business models. The results of the survey provide a full representation of the mobile market potential, with a focus on the applications that work on fuel consumption reduction and road safety. In this framework an evaluation of the presented application EcoSmart is carried out. The application estimates users fuel consumption and returns conclusions about his driving style (with focus on fuel consumption). The user can also review offline his paths and the geo-localised driving style data thanks to the Smartphones GPS. The EcoSmart application replaces the OBD device and the consumption data, that can be obtained from the car engine, approximating fuel consumption just based on the dynamic of vehicle motion that is evaluated on GPS data. This procedure is simple and innovative. This study provides a demand survey for this kind of services and a sector analysis. The survey has been carried out using traditional market research methods, with a qualitative approach that is used to understand users habits of purchase and users desires. The second one was realised investigating the applications which are similar to EcoSmart on the Apples Appstore and the Google Play Store, analysing their features and how they can be distributed to the users.

EcoSmart: A Survey and Sector Analysis of Mobile Phone Application Market for Fuel Consumption Reduction

The spread of Smartphones and Tablets has led to the birth and the development of a new business: mobile applications on smartphones. Mobile telephonys continuous growth implies a large number of users that can access all applications of online stores. Mobile business is evolving continuously and offers applications that grant many different innovative services and at the same time mobile business offers many opportunities of development for companies and corporations because participating this new sector is becoming more and more required to improve performances and competitiveness. The purpose of this paper is a quantitative analysis of the smartphone application market through a survey of users desires and an analysis of different mobile application features and business models. The results of the survey provide a full representation of the mobile market potential, with a focus on the applications that work on fuel consumption reduction and road safety. In this framework an evaluation of the presented application EcoSmart is carried out. The application estimates users fuel consumption and returns conclusions about his driving style (with focus on fuel consumption). The user can also review offline his paths and the geo-localised driving style data thanks to the Smartphones GPS. The EcoSmart application replaces the OBD device and the consumption data, that can be obtained from the car engine, approximating fuel consumption just based on the dynamic of vehicle motion that is evaluated on GPS data. This procedure is simple and innovative. This study provides a demand survey for this kind of services and a sector analysis. The survey has been carried out using traditional market research methods, with a qualitative approach that is used to understand users habits of purchase and users desires. The second one was realised investigating the applications which are similar to EcoSmart on the Apples Appstore and the Google Play Store, analysing their features and how they can be distributed to the users.

Regulations concerning natural swimming ponds in Europe: considerations on public health issues.

Natural swimming ponds (NSPs) are a new type of recreational water facility characterized by the substitution of traditional disinfection with biodepuration. While this feature meets esthetic desires of users, specific concerns on public health issues have been raised by the scientific community and local authorities. The absence of a European directive applicable to these environments leaves each country without specific and harmonized indications. The present work describes the local/national policy situation, describing adopted parameters and monitoring activities. All documents underline the need for appropriate microbiological analysis and correct water management.

An Empirical Investigation on Social Media Userss Demand for Accounting Information Distributed Via Social Media Platforms

While social media has received little attention in the financial accounting literature, organizations are increasingly using social media platforms to connect with potential investors because social media provides a low-cost, low-barrier means of distributing financial information and communicating with the investing public. Despite this trend, little empirical evidence exists as to what financial information is of interest to social media users. The purpose of this paper is to explore and model the information content, both financial and non-financial, sought by social media users. Using the perspectives of social media users (i.e., a third party perspective), we use Gallaugher and Ransbotham’s (2010) Megaphone, Magnet, and Monitor communication framework to identify the content social media users desire. Our results indicate that a five category model better fits the desires of social media users. Though we find little empirical evidence suggesting a strong demand for financial information among social media users, we do find that nonprofessional investors demand financial information content more than noninvestors. Thus, this study provides some empirical evidence to support the notion that social media can provide start-up firms with a low-cost means of communicating with potential and existing investors.