3,310 research outputs found

    From Hands-on Sessions to User Insights on Designing an Interactive System for Data Science

    Get PDF
    Our design research goal is to improve the user experience and effectiveness of an integrated IT solution for supporting the creative and collaborative Data Science (DS) life-cycle process. The work is being done as a Design Science Research (DSR) project, in real-life context. Within a fast-pace development environment, with scarce access to end-users, we combined hands-on sessions and semi-structured user interviews into a fast-forward design insights technique ([aka insightz]) to capture: i) people interests and expectations about the tool (leading to design improvements) and ii) stakeholders’ insights about the DS process itself (leading to process and business innovation). We propose these insightz workshops and the user research approach as a design technique to define and to communicate design principles and guidelines between different stakeholders, namely, UI/UX and engineering teams

    Design rules and guidelines for generic condition-based maintenance software's Graphic User Interface

    Get PDF
    The task of selecting and developing a method of Human Computer Interaction (HCI) for a Condition Based Maintenance (CBM) system, is investigated in this thesis. Efficiently and accurately communicating machinery health information extracted from Condition Monitoring (CM) equipment, to aid and assist plant and machinery maintenance decisions, is the crux of the problem being researched. Challenges facing this research include: the multitude of different CM techniques, developed for measuring different component and machinery condition parameters; the multitude of different methods of HCI; and the multitude of different ways of communicating machinery health conditions to CBM practitioners. Each challenge will be considered whilst pursuing the objective of identifying a generic set of design and development principles, applicable to the design and development of a CBM system's Human Machine Interface (HMI). [Continues.

    Enriching Requirements Analysis with the Personas Technique

    Get PDF
    A thorough understanding of the users that interact with the system is necessary to develop usable systems. The Personas technique developed by the human-computer interaction (HCI) discipline gathers data about users, gains an understanding of their characteristics, defines fictitious personas based on this understanding and focuses on these personas throughout the software development process. The aim of our research is to build Personas into systems development following software engineering (SE) guidelines. The benefits to be gained are an understanding of the user which is not traditionally taken into account in SE. To do this, we had to undertake two types of tasks. First, we modified the Personas technique to conform to the levels of systematization common in SE. We have called the modified technique PersonaSE. Second, we incorporated the proposed technique into the software requirements analysis proces

    Design as conversation with digital materials

    Get PDF
    This paper explores Donald Schön's concept of design as a conversation with materials, in the context of designing digital systems. It proposes material utterance as a central event in designing. A material utterance is a situated communication act that depends on the particularities of speaker, audience, material and genre. The paper argues that, if digital designing differs from other forms of designing, then accounts for such differences must be sought by understanding the material properties of digital systems and the genres of practice that surround their use. Perspectives from human-computer interaction (HCI) and the psychology of programming are used to examine how such an understanding might be constructed.</p

    User data spectrum theory: Collecting, interpreting, and implementing user data in organizations

    Get PDF
    Organizations interested in increasing their user experience (UX) capacity lack the tools they need to know how to do so. This dissertation addresses this challenge via three major research efforts: 1) the creation of User Data Spectrum theory and a User Data Spectrum survey for helping organizations better invest resources to grow their UX capacity, 2) a new UX method and model for organizations that want to capitalize on spoken words from end users called Rapid Meaningful Scenarios (RMS), and 3) a recommendation for UX education in response to the current ACM SIGCHI education Living Curriculum initiative. The User Data Spectrum work is based on 30 interviews and 110 survey responses from UX stakeholders across 120 companies. These data informed the theory as well as a factor analysis performed to identify the most relevant items in the User Data Spectrum survey. The Rapid Meaningful Scenarios methodology was developed based on iterative UX experience with a real-world organization and refined to aid UX professionals in creating structured results based on end users\u27 words. The UX education recommendation integrates experience with the HCI curriculum at Iowa State University and curriculum discussions within the SIGCHI community over the past 5 years. The overall contribution of this research is a set of tools that will enable UX professionals and organizations to better strategize how to increase their UX capacity
    • 

    corecore