961 resultados para user experience measurement
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Käytettävien ohjelmistojen suunnittelu tuo hyötyjä loppukäyttäjälle sekä muille sidosryhmille. Verkkokaupassa käytettävyys on elintärkeää, koska asiakkaat vaihtavat helposti seuraavalle sivustolle, mikäli he eivät löydä etsimäänsä. Tutkimusten mukaan käytettävyys vaikuttaa ostopäätöksen tekemiseen. Lisäksi käytettävyydellä on merkitystä asiakastyytyväisyyteen, joka taas vaikuttaa asiakasuskollisuuteen. Tässä tutkielmassa tutkittiin, miten käytettävyyttä suunnitellaan käytännössä verrattuna teoreettisiin suosituksiin. Tapaustutkimuksen kohteena oli huonekaluja myyvän kansainvälisen yrityksen verkkokaupan uudistamiseen tähtäävä projekti. Uudistamistarve nousi aikaisemman verkkokauppaversion puutteellisesta käytettävyydestä. Projekti toteutettiin ketterällä Scrum-menetelmällä. Empiirinen aineisto kerättiin puolistrukturoitujen haastattelujen avulla. Haastateltavat olivat käyttökokemuksen suunnitteluun osallistuvia henkilöitä. Haastattelujen teemat laadittiin teoreettisen aineiston pohjalta. Teoreettisessa osuudessa tutkittiin käytettävyyden suunnitteluun liittyviä periaatteita, prosessia ja menetelmiä. Aikaisemmasta tutkimuksesta löydettiin 12 periaatetta, jotka tukevat ja luonnehtivat käyttäjäkeskeistä suunnittelua. Käytettävyyttä suunnitellaan käyttäjäkeskeisen prosessin avulla. Eri prosessimallit pitivät keskeisinä asioina käyttökontekstin määrittelyä ja ymmärtämistä, mitattavia käytettävyysvaatimuksia, suunnitteluratkaisujen empiiristä arviointia sekä suunnitteluprosessin iteratiivisuutta. Lisäksi tarkasteltiin, mitä suunnittelumenetelmiä tutkijat ehdottavat käytettävyyden suunnitteluun ja mitä kyselytutkimusten perusteella todellisuudessa käytetään. Verkkokauppaprojektissa käytettävyyden suunnittelu erosi osittain teoreettisista suosituksista. Käyttökontekstitietoa ei ollut kaikilla projektiin osallistuvilla, eikä käytettävyysvaatimuksia ollut asetettu teorian tarkoittamalla tavalla. Yhtäläisyyksiäkin löytyi. Verkkokauppaprojektissa suunnitteluratkaisuja arvioitiin empiirisesti todellisten käyttäjien edustajien avulla. Suunnitteluprosessi oli iteratiivinen eli suunnitteluratkaisuja oltiin valmiita muuttamaan arvioinnin tuloksena. Tutkimuksen perusteella suositellaan, että verkkokauppaprojektissa parannettaisiin kommunikointia, koska käyttökontekstitieto ei saavuttanut kaikkia projektissa työskenteleviä. Teorian tulisi entisestään korostaa kommunikoinnin tärkeyttä. Tutkimuksen perusteella esitetään myös, että teoria ohjaisi paremmin vaatimusmäärittelyjen tekemiseen käytännössä. Avainsanat: Käytettävyys, käyttäjäkeskeinen suunnittelu, käytettävyyden periaatteet, käytettävyyden suunnittelumenetelmät, ketterä ohjelmistokehitys, tapaustutkimus
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This article introduces the genre of a digital audio game and discusses selected play interaction solutions implemented in the Audio Game Hub, a prototype designed and evaluated in the years 2014 and 2015 at the Gamification Lab at Leuphana University Lüneburg.1 The Audio Game Hub constitutes a set of familiar playful activities (aiming at a target, reflex-based reacting to sound signals, labyrinth exploration) and casual games (e.g. Tetris, Memory) adapted to the digital medium and converted into the audio sphere, where the player is guided predominantly or solely by sound. The authors will discuss the design questions raised at early stages of the project, and confront them with the results of user experience testing performed on two groups of sighted and one group of visually impaired gamers.
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Only recently, during the past five years, consumer electronics has been evolving rapidly. Many products have started to include “smart home” capabilities, enabling communication and interoperability of various smart devices. Even more devices and sensors can be remote controlled and monitored through cloud services. While the smart home systems have become very affordable to average consumer compared to the early solutions decades ago, there are still many issues and things that need to be fixed or improved upon: energy efficiency, connectivity with other devices and applications, security and privacy concerns, reliability, and response time. This paper focuses on designing Internet of Things (IoT) node and platform architectures that take these issues into account, notes other currently used solutions, and selects technologies in order to provide better solution. The node architecture aims for energy efficiency and modularity, while the platform architecture goals are in scalability, portability, maintainability, performance, and modularity. Moreover, the platform architecture attempts to improve user experience by providing higher reliability and lower response time compared to the alternative platforms. The architectures were developed iteratively using a development process involving research, planning, design, implementation, testing, and analysis. Additionally, they were documented using Kruchten’s 4+1 view model, which is used to describe the use cases and different views of the architectures. The node architecture consisted of energy efficient hardware, FC3180 microprocessor and CC2520 RF transceiver, modular operating system, Contiki, and a communication protocol, AllJoyn, used for providing better interoperability with other IoT devices and applications. The platform architecture provided reliable low response time control, monitoring, and initial setup capabilities by utilizing web technologies on various devices such as smart phones, tablets, and computers. Furthermore, an optional cloud service was provided in order to control devices and monitor sensors remotely by utilizing scalable high performance technologies in the backend enabling low response time and high reliability.
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Users need to be able to address in-air gesture systems, which means finding where to perform gestures and how to direct them towards the intended system. This is necessary for input to be sensed correctly and without unintentionally affecting other systems. This thesis investigates novel interaction techniques which allow users to address gesture systems properly, helping them find where and how to gesture. It also investigates audio, tactile and interactive light displays for multimodal gesture feedback; these can be used by gesture systems with limited output capabilities (like mobile phones and small household controls), allowing the interaction techniques to be used by a variety of device types. It investigates tactile and interactive light displays in greater detail, as these are not as well understood as audio displays. Experiments 1 and 2 explored tactile feedback for gesture systems, comparing an ultrasound haptic display to wearable tactile displays at different body locations and investigating feedback designs. These experiments found that tactile feedback improves the user experience of gesturing by reassuring users that their movements are being sensed. Experiment 3 investigated interactive light displays for gesture systems, finding this novel display type effective for giving feedback and presenting information. It also found that interactive light feedback is enhanced by audio and tactile feedback. These feedback modalities were then used alongside audio feedback in two interaction techniques for addressing gesture systems: sensor strength feedback and rhythmic gestures. Sensor strength feedback is multimodal feedback that tells users how well they can be sensed, encouraging them to find where to gesture through active exploration. Experiment 4 found that they can do this with 51mm accuracy, with combinations of audio and interactive light feedback leading to the best performance. Rhythmic gestures are continuously repeated gesture movements which can be used to direct input. Experiment 5 investigated the usability of this technique, finding that users can match rhythmic gestures well and with ease. Finally, these interaction techniques were combined, resulting in a new single interaction for addressing gesture systems. Using this interaction, users could direct their input with rhythmic gestures while using the sensor strength feedback to find a good location for addressing the system. Experiment 6 studied the effectiveness and usability of this technique, as well as the design space for combining the two types of feedback. It found that this interaction was successful, with users matching 99.9% of rhythmic gestures, with 80mm accuracy from target points. The findings show that gesture systems could successfully use this interaction technique to allow users to address them. Novel design recommendations for using rhythmic gestures and sensor strength feedback were created, informed by the experiment findings.
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We build a system to support search and visualization on heterogeneous information networks. We first build our system on a specialized heterogeneous information network: DBLP. The system aims to facilitate people, especially computer science researchers, toward a better understanding and user experience about academic information networks. Then we extend our system to the Web. Our results are much more intuitive and knowledgeable than the simple top-k blue links from traditional search engines, and bring more meaningful structural results with correlated entities. We also investigate the ranking algorithm, and we show that the personalized PageRank and proposed Hetero-personalized PageRank outperform the TF-IDF ranking or mixture of TF-IDF and authority ranking. Our work opens several directions for future research.
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Physical places are given contextual meaning by the objects and people that make up the space. Presence in physical places can be utilised to support mobile interaction by making access to media and notifications on a smartphone easier and more visible to other people. Smartphone interfaces can be extended into the physical world in a meaningful way by anchoring digital content to artefacts, and interactions situated around physical artefacts can provide contextual meaning to private manipulations with a mobile device. Additionally, places themselves are designed to support a set of tasks, and the logical structure of places can be used to organise content on the smartphone. Menus that adapt the functionality of a smartphone can support the user by presenting the tools most likely to be needed just-in-time, so that information needs can be satisfied quickly and with little cognitive effort. Furthermore, places are often shared with people whom the user knows, and the smartphone can facilitate social situations by providing access to content that stimulates conversation. However, the smartphone can disrupt a collaborative environment, by alerting the user with unimportant notifications, or sucking the user in to the digital world with attractive content that is only shown on a private screen. Sharing smartphone content on a situated display creates an inclusive and unobtrusive user experience, and can increase focus on a primary task by allowing content to be read at a glance. Mobile interaction situated around artefacts of personal places is investigated as a way to support users to access content from their smartphone while managing their physical presence. A menu that adapts to personal places is evaluated to reduce the time and effort of app navigation, and coordinating smartphone content on a situated display is found to support social engagement and the negotiation of notifications. Improving the sensing of smartphone users in places is a challenge that is out-with the scope of this thesis. Instead, interaction designers and developers should be provided with low-cost positioning tools that utilise presence in places, and enable quantitative and qualitative data to be collected in user evaluations. Two lightweight positioning tools are developed with the low-cost sensors that are currently available: The Microsoft Kinect depth sensor allows movements of a smartphone user to be tracked in a limited area of a place, and Bluetooth beacons enable the larger context of a place to be detected. Positioning experiments with each sensor are performed to highlight the capabilities and limitations of current sensing techniques for designing interactions with a smartphone. Both tools enable prototypes to be built with a rapid prototyping approach, and mobile interactions can be tested with more advanced sensing techniques as they become available. Sensing technologies are becoming pervasive, and it will soon be possible to perform reliable place detection in-the-wild. Novel interactions that utilise presence in places can support smartphone users by making access to useful functionality easy and more visible to the people who matter most in everyday life.
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A quantidade de páginas disponibilizadas na Web atingiu um tamanho tão grande que se tornou impossível recuperar informações manualmente, necessitando-se de mecanismos que possam ajudar nesse processo. Nesse contexto, os mecanismos de busca podem ser considerados como uma importante categoria do ciberespaço, especialmente para a área da Ciência da Informação, porque diz respeito à organização do conhecimento nesse ambiente, de tal forma que o Google tem sido considerado a porta de entrada no ciberespaço. Isso evidencia a importância que as interfaces de tais mecanismos podem ter sobre o comportamento informacional das pessoas. Recentes pesquisas mostram que nos últimos anos novos elementos contendo dados estruturados foram inseridos nas páginas de resultados do Google o que pode criar condições para mudanças no comportamento dos usuários. Neste trabalho apresenta-se características da tecnologia de eye tracking e seu uso em User Experience, com a apresentação de alguns resultados obtidos por meio uma investigação experimental, comparando o comportamento de usuários diante das páginas de resultados do Google e Yahoo. Observou-se que nos testes com o Google os participantes precisaram de cerca de 30% a menos de tempo para se decidirem sobre a escolha do link. Acredita-se que os participantes podem ter sofrido influência do elemento conhecido como rich snippet. Os resultados mostram que a interface foi capaz de influenciar o comportamento dos participantes quanto à escolha do melhor link, evidenciando a importância da apresentação dos resultados no processo de tomada de decisão de seus usuários.
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This research deals with the use of a participatory design methodology to develop a repository of open educational resources, the Arcaz. Discusses key aspects of neutrality and determinism of technology within the context of Social Studies of Science and Technology and presents some concepts of critical theory of technology related to the democratic construction of technological artifacts. Discusses the philosophical heritage of the movements that led to the emergence of free software, open education and open educational resources and argues that participatory design share similar ideals. It presents concepts of human-computer interaction, interaction design and user centered design, important to enhance the user experience in information systems. It addresses the participatory design as a methodology that allows the democratic participation of users in the technological construction, promoting mutual learning and active voice for the participants. Develops a participatory design methodology adapted to the Arcaz context of use and provides the procedures for the meetings conducted to apply participatory design techniques to the repository and the results obtained. It concludes with a study of some of the interventions suggested in the system and orientations for future applications of participatory practices in the development of the repository and a list of best practices, focusing on ethical principles that should guide the participatory design.
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Over the last decade, success of social networks has significantly reshaped how people consume information. Recommendation of contents based on user profiles is well-received. However, as users become dominantly mobile, little is done to consider the impacts of the wireless environment, especially the capacity constraints and changing channel. In this dissertation, we investigate a centralized wireless content delivery system, aiming to optimize overall user experience given the capacity constraints of the wireless networks, by deciding what contents to deliver, when and how. We propose a scheduling framework that incorporates content-based reward and deliverability. Our approach utilizes the broadcast nature of wireless communication and social nature of content, by multicasting and precaching. Results indicate this novel joint optimization approach outperforms existing layered systems that separate recommendation and delivery, especially when the wireless network is operating at maximum capacity. Utilizing limited number of transmission modes, we significantly reduce the complexity of the optimization. We also introduce the design of a hybrid system to handle transmissions for both system recommended contents ('push') and active user requests ('pull'). Further, we extend the joint optimization framework to the wireless infrastructure with multiple base stations. The problem becomes much harder in that there are many more system configurations, including but not limited to power allocation and how resources are shared among the base stations ('out-of-band' in which base stations transmit with dedicated spectrum resources, thus no interference; and 'in-band' in which they share the spectrum and need to mitigate interference). We propose a scalable two-phase scheduling framework: 1) each base station obtains delivery decisions and resource allocation individually; 2) the system consolidates the decisions and allocations, reducing redundant transmissions. Additionally, if the social network applications could provide the predictions of how the social contents disseminate, the wireless networks could schedule the transmissions accordingly and significantly improve the dissemination performance by reducing the delivery delay. We propose a novel method utilizing: 1) hybrid systems to handle active disseminating requests; and 2) predictions of dissemination dynamics from the social network applications. This method could mitigate the performance degradation for content dissemination due to wireless delivery delay. Results indicate that our proposed system design is both efficient and easy to implement.
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Once regarded as the public’s center of knowledge and information, public libraries today are challenged by the rise of mobile technology and the Internet. Information behavior of everyday library patrons have transformed to rely on instant access of information through Google search instead of the resources housed in their local libraries. The focus of public library design is shifting from storing & protecting valuable resources (books) to the experience of an active public space of learning, engaging and reading. This thesis reimagines a public library branch in East Baltimore City by evaluating the architecture of public library examples of the past and of today. By understanding the user experience of the three key elements of public library design – procession, services & flexible space - a new public library design that engages and responds to the local community can be proposed.
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In this article, we advocate for the use of a social-technical model of trust to support interaction designers in further reflecting on trust-enabling interaction design values that foster participation. Our rationale is built upon the believe that technological-mediated social participation needs trust, and it is with trust-enabling interactions that we foster the will for collaborate and share—the two key elements of participation. This article starts by briefly presenting a social-technical model of trust and then moves on with establishing authors rational that interconnects trust with technological-mediated social participation. It continues by linking the trust value to the context of design critique and critical design, and ends by illustrating how to incorporate the trust value into design. This is achieved by proposing an analytical tool that can serve to inform interaction designers to better understand the potential design options and reasons for choosing them.
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Employees are the human capital which, to a great extent, contributes to the success and development of high-performance and sustainable organizations. In a work environment, there is a need to provide a tool for tracking and following-up on each employees' professional progress, while staying aligned with the organization’s strategic and operational goals and objectives. The research work within this Thesis aims to contribute to improve employees' selfawareness and auto-regulation; two predominant research areas are also studied and analyzed: Visual Analytics and Gamification. The Visual Analytics enables the specification of personalized dashboard interfaces with alerts and indicators to keep employees aware of their skills and to continuously monitor how to improve their expertise, promoting simultaneously behavioral change and adoption of good-practices. The study of Gamification techniques with Talent Management features enabled the design of new processes to engage, motivate, and retain highly productive employees, and to foster a competitive working environment, where employees are encouraged to be involved in new and rewarding activities, where knowledge and experience are recognized as a relevant asset. The Design Science Research was selected as the research methodology; the creation of new knowledge is therefore based on an iterative cycle addressing concepts such as design, analysis, reflection, and abstraction. By collaborating in an international project (Active@Work), funded by the Active and Assisted Living Programme, the results followed a design thinking approach regarding the specification of the structure and behavior of the Skills Development Module, namely the identification of requirements and the design of an innovative info-structure of metadata to support the user experience. A set of mockups were designed based on the user role and main concerns. Such approach enabled the conceptualization of a solution to proactively assist the management and assessment of skills in a personalized and dynamic way. The outcomes of this Thesis aims to demonstrate the existing articulation between emerging research areas such as Visual Analytics and Gamification, expecting to represent conceptual gains in these two research fields.
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El ‘Diseño Positivo’ es una filosofía de innovación desarrollada por investigadores líderes en diseño experiencial de la facultad de Diseño Industrial de la Universidad Tecnológica de Delft (TU Delft), en Los Países Bajos. El ‘Diseño Positivo’ plantea estrategias de innovación que buscan esencialmente promover, facilitar o fomentar el bienestar de los usuarios. Lo hace por medio de la aplicación práctica del conocimiento derivado de la investigación científica sobre la experiencia humana: psicología positiva, psicología emocional, economía conductual. Entre los descubrimientos que se han dilucidado se encuentran modelos detallados sobre el comportamiento humano, sobre la forma en que tomamos decisiones, sobre cómo las emociones se suscitan, e incluso sobre cómo está moldeado nuestro sentido del gusto partiendo de teorías evolutivas. El Diseño Positivo busca combinar estos conocimientos científicos con marcos conceptuales sobre la experiencia del usuario (User Experience – UX) en procesos de innovación En la presentación, Simón discutió las premisas básicas del Diseño Positivo, y en especial, cómo estas pueden ser aplicadas a procesos de innovación para crear productos y servicios que generen un impacto positivo en el bienestar psicológico y felicidad de las personas. Además, discutió cómo este conocimiento podría ser aplicado en procesos de innovación en las bibliotecas
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A lo largo de este trabajo se lleva a cabo una investigación sobre la evolución de las relaciones comerciales entre fabricantes y distribuidores, con especial atención en la colaboración conjunta a la hora de comercializar los productos en el punto de venta. El empleo de nuevas herramientas tecnológicas en el establecimiento facilita el merchandising de presentación, ofreciendo ventajas competitivas para los agentes de la cadena de suministros y nuevas experiencias de compra para los consumidores. Una vez analizada la parte teórico-conceptual del trabajo se lleva a cabo el análisis de un caso práctico sobre los beneficios de la tecnología Radio Frequency Identification (RFID) implantada en la empresa Decathlon. Estos sistemas se han convertido en un aliado clave para la mejora de los procesos de negocio, mejorando la gestión de la compañía y la fidelización de los clientes.
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Recommender system is a specific type of intelligent systems, which exploits historical user ratings on items and/or auxiliary information to make recommendations on items to the users. It plays a critical role in a wide range of online shopping, e-commercial services and social networking applications. Collaborative filtering (CF) is the most popular approaches used for recommender systems, but it suffers from complete cold start (CCS) problem where no rating record are available and incomplete cold start (ICS) problem where only a small number of rating records are available for some new items or users in the system. In this paper, we propose two recommendation models to solve the CCS and ICS problems for new items, which are based on a framework of tightly coupled CF approach and deep learning neural network. A specific deep neural network SADE is used to extract the content features of the items. The state of the art CF model, timeSVD++, which models and utilizes temporal dynamics of user preferences and item features, is modified to take the content features into prediction of ratings for cold start items. Extensive experiments on a large Netflix rating dataset of movies are performed, which show that our proposed recommendation models largely outperform the baseline models for rating prediction of cold start items. The two proposed recommendation models are also evaluated and compared on ICS items, and a flexible scheme of model retraining and switching is proposed to deal with the transition of items from cold start to non-cold start status. The experiment results on Netflix movie recommendation show the tight coupling of CF approach and deep learning neural network is feasible and very effective for cold start item recommendation. The design is general and can be applied to many other recommender systems for online shopping and social networking applications. The solution of cold start item problem can largely improve user experience and trust of recommender systems, and effectively promote cold start items.