Edition synchrone de plusieurs objets : services et interaction

International audienceGraphical interactions that modify many objects at once have not been studied systematically. Based on contextual inquiries of designers, and on previous systems and work, we have identified the services required for an efficient interaction with multiple objects: set management, action management, and support for exploratory design. We present a number of interactions that provide a subset of the identified services, by relying on an improved property sheet. This work may enable designers to design more consistent and more powerful interactions

Overview of contextual tracking approaches in information fusion

Proceedings of: Geospatial InfoFusion III. 2-3 May 2013 Baltimore, Maryland, United States.Many information fusion solutions work well in the intended scenarios; but the applications, supporting data, and capabilities change over varying contexts. One example is weather data for electro-optical target trackers of which standards have evolved over decades. The operating conditions of: technology changes, sensor/target variations, and the contextual environment can inhibit performance if not included in the initial systems design. In this paper, we seek to define and categorize different types of contextual information. We describe five contextual information categories that support target tracking: (1) domain knowledge from a user to aid the information fusion process through selection, cueing, and analysis, (2) environment-to-hardware processing for sensor management, (3) known distribution of entities for situation/threat assessment, (4) historical traffic behavior for situation awareness patterns of life (POL), and (5) road information for target tracking and identification. Appropriate characterization and representation of contextual information is needed for future high-level information fusion systems design to take advantage of the large data content available for a priori knowledge target tracking algorithm construction, implementation, and application.Publicad

Improving Context Interpretation by Using Fuzzy Policies: The Case of Adaptive Video Streaming

Best paper awardInternational audienceAdaptation is an increasingly important requirement for software systems executing in large-scale, heterogeneous, and dynamic environments. A central aspect of the adaptation methodology is management of contextual information needed to support the adaptation process. A major design challenge of managing contextual data lies in the fact that the information is partial, uncertain, and inherently suitable for diverging interpretations. While existing adaptation solutions focus on techniques, methods, and tools, the challenge of managing and interpreting ambiguous contextual information remains largely unresolved. In this paper we present a new adaptation approach that aims to overcome these issues by applying fuzzy set theory and approximate reasoning. We have defined a knowledge management scheme that allows the interpretation of imprecise information and effectively integrated it into the adaptation feedback control loop. To test and evaluate our solution, we implemented it in an adaptation engine to perform rate control for media streaming applications. We show the benefits of our approach in terms of flexibility and performance when compared to more traditional methods, such as TCP-friendly rate control

Seeking Structure: A Reconceptualization of Case Management

Case management is an approach to work that inherently emphasizes the client experience and is, therefore, an important paradigm for work in our 21st century services-driven economies. It specifically accounts for unique, contextual information and allows for emergent activity, whereas operational process management places primacy on standardized information and standardized tasks performed in a deterministic sequence. As a result, case management has been characterized as involving “unstructured” processes and data, in contrast to process management of “structured” processes and data. Referencing information systems research on process management and organizational research on work and routines, I argue that this conceptualization of case management obscures the real nature of the work and inhibits design of information systems to support that work. Drawing on studies of various casework settings, I propose a framework highlighting the underlying structure of casework and revealing new possibilities for combining human expertise and digital technology in case management

Supporting Diabetes Self-Management with Ubiquitous Computing Technologies: A User-Centered Inquiry

Ubiquitous computing technologies offer opportunities to improve treatments for chronic health conditions. Type 1 diabetes is a compelling use-case for such approaches, given its severity, and need for individuals to make frequent care decisions, informed by complex data. However, current apps, typically based on effortful reflection on collected data, generally show poor adoption, lack vital cognitive and emotional support, and are poorly tailored to users’ actual diabetes decision making processes. This thesis investigates how diabetes apps can be improved from a user-centered perspective. An initial questionnaire-based study investigated how well existing diabetes apps meet user needs. Perceived benefits, limitations, and reasons for low adoption rates were identified. A talk-aloud study of detailed user interactions with diabetes logging apps was conducted to characterize the benefits and limitations of diverse UI elements for T1 diabetes management, and to more precisely identify wider problems with current interaction designs. This led to positing a refined version of Mamykina et al.’s model for diabetes self-management, to account for observed practices, whereby the previously accepted habitual and sensemaking cognitive states are augmented by a posited ‘fluid contextual reasoning’ (FCR) mode, which allows multiple contextual factors to be balanced for dynamic course correction when navigating complex situations, using previously learned knowledge. To investigate user perceptions of the levels and kinds of monitoring anticipated in next generation diabetes decision support systems, a 4-week technology probe, in which participants used multiple networked devices and external data aggregation, was used to frame requirements for user-centered development of such future systems. Integrating all of the above work, an iterative design process was undertaken to create DUETS, a card-based system to facilitate reflection by designers, users, and other stakeholders on diabetes support management systems. The resulting tool and method were then implemented and evaluated through structured sessions with stakeholder focus groups

Post-mortem information management: exploring contextual factors in appropriate personal data access after death

\ua9 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.With the increasing size and complexity of personal information and data landscapes, there is a need for guidance and support in the appropriate management of a deceased person’s postmortem privacy and digital legacy. However, most people engage poorly with existing mechanisms for specifying and planning for access and suitable usage of their own data. We report on two studies exploring the ways in which contextual factors such as the accessor and the data type may affect the appropriateness of personal data flows differently during life and after death. Our findings indicate that suitable data access after death is highly individual and contextual, with differences in appropriateness between during-life and after-death data flows significantly affected by the accessor and the data type in question. We identify that ambiguous accessor motivation, failure to communicate intent, changing temporal context and latent data values further complicate the act of digital legacy planning. Our findings also provide further evidence for the existence of a postmortem privacy paradox in which reported user behaviors do not reflect intent. With this in mind, we offer design recommendations for the integration of digital legacy planning functionality within Personal Information Management (PIM) and Group Information Management (GIM) systems

Contextual analysis and newspaper archives in management history research

Purpose. The purpose of this paper is to reveal, how newspaper archives can support contextualisation in management history research by providing quantitative and/or qualitative, accurate, contemporary and cost-effective, data which is not always available elsewhere. Design/methodology/approach. The paper comprises a literature review, which summarises research into contextual analysis and newspaper archive theory; combined with content and textual analysis of articles published in the Journal of Management History and Management and Organizational History (2013-2017). Findings. The findings reveal that the concept of contextualisation is absent from recent management history articles and that few management historians use newspaper archival sources as a data collection strategy. Research limitations/implications. There is compelling evidence to suggest that contextual analysis can – perhaps should – be incorporated into management historians’ research strategies because managerial organisations operate in open systems, which are influenced by external factors. Originality/value. This paper juxtaposes two neglected aspects of management history research, contextuality and newspaper archives, and proposes that a key source for historic contextual analysis is newspaper data

Supporting decision making process with "Ideal" software agents: what do business executives want?

According to Simon’s (1977) decision making theory, intelligence is the first and most important phase in the decision making process. With the escalation of information resources available to business executives, it is becoming imperative to explore the potential and challenges of using agent-based systems to support the intelligence phase of decision-making. This research examines UK executives’ perceptions of using agent-based support systems and the criteria for design and development of their “ideal” intelligent software agents. The study adopted an inductive approach using focus groups to generate a preliminary set of design criteria of “ideal” agents. It then followed a deductive approach using semi-structured interviews to validate and enhance the criteria. This qualitative research has generated unique insights into executives’ perceptions of the design and use of agent-based support systems. The systematic content analysis of qualitative data led to the proposal and validation of design criteria at three levels. The findings revealed the most desirable criteria for agent based support systems from the end users’ point view. The design criteria can be used not only to guide intelligent agent system design but also system evaluation

Management Control Systems and Contextual Variables in the Hospitality Industry

Purpose – The paper examined management control systems (MCS) in Indonesian hospitality sector. This study examines the impact of six contextual factors at one time to determine the importance of each factor on the design of MCS. Design/methodology/approach – The paper is based upon data collected through a survey sent to “star” hotels in Central Java, Indonesia. Using Chenhall (2003) design, a regression equation is run to examine the relationship between MCS and the contextual variables of environment, technology, structure, size, strategy and culture. Findings – The paper finds that higher levels of the contextual variables of technology, structure, and culture are related to more sophisticated MCS while size is related to more traditional MCS. Research limitations/implications –These findings are related to the hospitality industry in Indonesia. Future research could examine different settings (i.e. country, industry, etc) and investigate the effect of each contextual variable on the relationships between MCS and firm performance. Originality/value – The present study extends the scope of MCS system in accounting literature by testing Chenhall (2003) works on the relationship between contextual variables and MCS. It attempts to fill the gap in contingency-based studies that have previously focused on one aspect of contingency by considering six contextual factors. Furthermore, this paper also contributes to a fuller understanding of MCS practices in Indonesia and the hospitality industry and helps management in determining its most effective design. Keywords Hospitality management, Management Control Systems, Indonesia, Contextual Variable

Individual emergence in contextual analysis

Located within the tradition of Hermeneutic Dialectics (HD) this paper offers an approach which can further an analysis of a fit between information and organizational systems. Drawn upon Information Systems Development projects a relationship between theory and practice is aided through a multi-disciplinary approach to sense making activity. Using a contemporary version of contextual analysis to understand a way in which individuals construct adapt and create meaning from their environment offers a route to improve a systems analysis process. This type of enquiry into contextual dependencies of knowledge creation can help direct a development of systems that have the intention to serve specific organizational actors and their needs. Combining methods outside of a traditional polar divide, sense making research undertaken within a systems thinking arena can enrich understanding by complementing qualitative and / or quantitative analysis with reflective depth. Drawing together interdisciplinary strands through a critical systems thinking approach offers new levels of professionalism for computer- and management-, practitioners or researchers in the 21st Century