This article explores how entrepreneurs engage users in innovation in order to identify collaboration opportunities between entrepreneurship and technical and professional communication (TPC) ...scholars interested in user experience (UX). This article surveyed American entrepreneurs (N = 100) asking when and how they involve users in product development. The results suggest that most entrepreneurs do engage users to drive innovation and understand their markets, but do so largely through informal means. Our research suggests that UX can serve as a connection point for TPC scholars and entrepreneurs, especially if TPC emphasizes the role of UX in innovation and offers entrepreneurs efficient yet reliable user-research methodologies.
New software, OLEX2, has been developed for the determination, visualization and analysis of molecular crystal structures. The software has a portable mouse‐driven workflow‐oriented and fully ...comprehensive graphical user interface for structure solution, refinement and report generation, as well as novel tools for structure analysis. OLEX2 seamlessly links all aspects of the structure solution, refinement and publication process and presents them in a single workflow‐driven package, with the ultimate goal of producing an application which will be useful to both chemists and crystallographers.
The expansion of touch-sensitive technologies, ranging from smartwatches to wall screens, triggered a wider use of gesture-based user interfaces and encouraged researchers to invent recognizers that ...are fast and accurate for end-users while being simple enough for practitioners. Since the pioneering work on two-dimensional (2D) stroke gesture recognition based on feature extraction and classification, numerous approaches and techniques have been introduced to classify uni- and multi-stroke gestures, satisfying various properties of articulation-, rotation-, scale-, and translation-invariance. As the domain abounds in different recognizers, it becomes difficult for the practitioner to choose the right recognizer, depending on the application and for the researcher to understand the state-of-the-art. To address these needs, a targeted literature review identified 16 significant 2D stroke gesture recognizers that were submitted to a descriptive analysis discussing their algorithm, performance, and properties, and a comparative analysis discussing their similarities and differences. Finally, some opportunities for expanding 2D stroke gesture recognition are drawn from these analyses.
In mobile crowdsensing, the sensing platform recruits users to complete large-scale sensing tasks cooperatively. In order to guarantee the quality of sensing tasks, the platform needs to recommend ...suitable tasks to users. Existing task recommendation methods typically focus on unilateral factors, such as user preferences or task quality, leading to low platform utility and task acceptance rate respectively. To solve the above issue, this paper proposes a task recommendation method which takes both user preferences and user-task matching into consideration. Firstly, we apply the Deep Interest Network (DIN) in the context of mobile crowdsensing to recommend tasks according to user preferences. Secondly, the concept of user-task matching is introduced, in which both the task difficulty and the user reliability are taken into account. Finally, we propose task recommendation algorithms and conduct extensive experiments on a real dataset. The experimental results show that the proposed method can not only improve the utility of the platform significantly, but also improve the recommendation accuracy slightly under longer recommendation list.
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► A ’UX Curve’ method is presented to evaluate long-term user experience. ► The method identifies loyal users who recommend their product to others. ► The method is useful for ...evaluating the quality of long-term user experience. ► The method provides user feedback that can be used to improve user experience.
The goal of user experience design in industry is to improve customer satisfaction and loyalty through the utility, ease of use, and pleasure provided in the interaction with a product. So far, user experience studies have mostly focused on short-term evaluations and consequently on aspects relating to the initial adoption of new product designs. Nevertheless, the relationship between the user and the product evolves over long periods of time and the relevance of prolonged use for market success has been recently highlighted. In this paper, we argue for the cost-effective elicitation of longitudinal user experience data. We propose a method called the “UX Curve” which aims at assisting users in retrospectively reporting how and why their experience with a product has changed over time. The usefulness of the UX Curve method was assessed in a qualitative study with 20 mobile phone users. In particular, we investigated how users’ specific memories of their experiences with their mobile phones guide their behavior and their willingness to recommend the product to others. The results suggest that the UX Curve method enables users and researchers to determine the quality of long-term user experience and the influences that improve user experience over time or cause it to deteriorate. The method provided rich qualitative data and we found that an improving trend of perceived
attractiveness of mobile phones was related to user satisfaction and willingness to recommend their phone to friends. This highlights that sustaining perceived attractiveness can be a differentiating factor in the user acceptance of personal interactive products such as mobile phones. The study suggests that the proposed method can be used as a straightforward tool for understanding the reasons why user experience improves or worsens in long-term product use and how these reasons relate to customer loyalty.
With the prevalence of disinformation geared to instill doubt rather than clarity, Creating Chaos Online unmasks disinformation when it attempts to pass as deliberation in the public sphere and ...distorts the democratic processes. Asta Zelenkauskaitė finds that repeated tropes justifying Russian trolling were found to circulate across not only all analyzed media platforms' comments but also across two analyzed sociopolitical contexts suggesting the orchestrated efforts behind messaging. Through a dystopian vision of publics that are expected to navigate in the sea of uncertain both authentic and orchestrated content, pushed by human and nonhuman actors, Creating Chaos Online offers a concept of post-publics. The idea of post-publics is reflected within the continuum of treatment of public, counter public, and anti-public. This book argues that affect-instilled arguments used in public deliberation in times of uncertainty, along with whataboutism constitute a playbook for chaos online.
PurposeThe purpose of this paper is to describe, analyze and understand international users' library experience in the Digital Age in order to inform library service design and ensure it provides an ...inclusive environment. In this study, the behavioral and experiential aspects of user library experience are merged to develop essential interconnections between information behavior (IB) and user experience (UX) in the context of the academic library with the goal of constructing a more holistic understanding of ‘library experience.Design/methodology/approachThe study was built on the concept “library experience” through analyzing its essential components of IB and UX. It was developed through findings from mixed methods research, consisting of the quantitative investigation from a library log analysis, and qualitative investigations via cognitive mapping exercises and semi-structured interviews, both targeted on the largest single group of international students in United Kingdom – international Chinese students.FindingsThe findings demonstrated the complexity and multilayered characteristics of international Chinese students' library context, and three unique contexts emerged from the data shaping their library experience. Building on the previous findings on the connections between IB and UX, the work attempted to redefine “library experience” by joining both behavioral and experiential aspects. It is found that the key components of cultural library experience are the multilayered context, cultural group's perception needs, sense-making process and subjective evaluations.Originality/valueThis study joins the behavioral and experiential perspectives together to explore library experience in a more holistic way and proposes a systematic structure to understand and analyze library experience, especially that of international users in a cross-cultural context, which, in turn, will better serve their information needs and inform the design of a more equal and inclusive library system.
Prior to the start of the LHC Run 3, the US ATLAS Software and Computing operations program established three shared Tier 3 Analysis Facilities (AFs). The newest AF was established at the University ...of Chicago in the past year, joining the existing AFs at Brookhaven National Lab and SLAC National Accelerator Lab. In this paper, we will describe both the common and unique aspects of these three AFs, and the resulting distributed facility from the user’s perspective, including how we monitor and measure the AFs. The common elements include enabling easy access via Federated ID, file sharing via EOS, provisioning of similar Jupyter environments using common Jupyter kernels and containerization, and efforts to centralize documentation and user support channels. The unique components we will cover are driven in turn by the requirements, expertise and resources at each individual site. Finally, we will highlight how the US AFs are collaborating with other ATLAS and LHC wide (IRIS-HEP and HSF) user analysis support activities, evaluating tools like ServiceX and Coffea-Casa.
Provision of personalized recommendations to users requires accurate modeling of their interests and needs. This work proposes a general framework and specific methodologies for enhancing the ...accuracy of user modeling in recommender systems by importing and integrating data collected by other recommender systems. Such a process is defined as user models mediation. The work discusses the details of such a generic user modeling mediation framework. It provides a generic user modeling data representation model, demonstrates its compatibility with existing recommendation techniques, and discusses the general steps of the mediation. Specifically, four major types of mediation are presented: cross-user, cross-item, cross-context, and cross-representation. Finally, the work reports the application of the mediation framework and illustrates it with practical mediation scenarios. Evaluations of these scenarios demonstrate the potential benefits of user modeling data mediation, as in certain conditions it allows improving the quality of the recommendations provided to the users.
Deep learning offers the potential to extract more than meets the eye from images captured by imaging flow cytometry. This protocol describes the application of deep learning to single-cell images to ...perform supervised cell classification and weakly supervised learning, using example data from an experiment exploring red blood cell morphology. We describe how to acquire and transform suitable input data as well as the steps required for deep learning training and inference using an open-source web-based application. All steps of the protocol are provided as open-source Python as well as MATLAB runtime scripts, through both command-line and graphic user interfaces. The protocol enables a flexible and friendly environment for morphological phenotyping using supervised and weakly supervised learning and the subsequent exploration of the deep learning features using multi-dimensional visualization tools. The protocol requires 40 h when training from scratch and 1 h when using a pre-trained model.
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