In this article we propose a generic framework for ontological intention recognition and action recommendation involving distributed and networked active digital object memories (ADOMe) for production factories and their components as well as individually manufactured products. For this purpose, a concrete and complex application scenario in the industrial environment is designed. In addition, the developed approach provides an important contribution to the utilization of ADOMes and their networking and intelligent representation of consumption, savings and savings potential. Furthermore, the processes and tasks of the proactive intention recognition component reflect the behavior and interaction of man and machine or man and object. Such a system can provide context-aware action recommendations without any explicit request by end users. Its prototypical realization is realized under integrated use of specially designed methods and technologies, such as the instrumentation of objects with ADOMes, process and role models, and rule recommendation procedures.

In todays product management life-cycle data play a growing role. Fixed product data, sensor readings and external events form continuously growing data collections, the digital object memory. To create a surplus value, this data is exploited in applications, e.g. by asking queries to such memories (e.g. "get unexpected observations"). The necessary logic to answer such questions may vary with time as different entities come in contact with different types of objects. This raises the challenge how to decouple questions from the corresponding logic, how to modify the logic, how to deploy such logic to the memory and how to execute the logic on the memory itself. This article describes work in progress concerning extending an existing memory framework to support analysis, processing and communication behavior of so called Active Digital Object Memories.

The Internet of Things connects digital information sources with physical objects - which transforms an artifact from being a passive object into a 'thing' that may link to data, store data and even offer data to users. Digital Object Memories (DOMe) comprise hardware and software components, which together provide an open and universal platform for capturing, associating, and interacting with the digital information of connected objects - including storage, documentation and provision of information concerning actions an object is or might be involved in. The goal of this continuation of an established workshop series (predecessor events include DIPSO 2007-09 in conjunction with Ubicomp 2007-09, DOMe in conjunction with Intelligent Environment 2009, DOMe-IoT 2010 in conjunction with Ubicomp 2010, and NOMe-IoT in conjunction with Ubicomp 2011) is to twofold: 1.) initiate a conversation concerning the potential for objects to develop agency; and 2.) explore how data that is associated with an object may leverage real-world actions. Here, DOMe 2012 provides a hybrid interdisciplinary workshop format that will combine traditional presentations and discussion with practice-based experimentation.

Digital Object Memories (DOMes) comprise hardware and software components, which together provide an open and universal platform for capturing and interacting with the digital information of connected objects - including storage, documentation and provision of information concerning actions an object is or might be involved in. We envisage that connected objects equipped with DOMes will be enabled to make suggestions and propositions to human users - which implies that an object may have a level of agency. The latter concept is a striking possibility that may change the way that we perceive, interact, and relate to objects. The goal of this established workshop series is to twofold: 1.) initiate a conversation concerning the potential for objects to develop agency; and 2.) explore how data that is associated with an object may leverage real-world actions. DOMe-IoT 2012 provides a hybrid interdisciplinary workshop format that will combine traditional presentations and discussion with practice-based experimentation.

No abstract available.

Digital object memories, as a shared storage place for object-related information, support information reuse across domain and application boundaries throughout its whole life cycle. In this paper, we present a reusable general-purpose software framework for the visualization of and interaction with such digital object memories. The framework simplifies the implementation of applications which support end users based on information stored in object memories. Challenges arise from the open nature of object memories, where format and semantic of contained data is usually not known in advance. The framework applies plugins for visualization, data conversion and inferencing. A planning algorithm automatically constructs a data processing and visualization pipeline for each new object. Objects can become self-representative by providing their own plugins, which the framework dynamically integrates into the generated pipeline. We describe the framework architecture and give examples of three different systems implemented with our framework.

We aim to enhance the quality of life of elderly and people with mild cognitive disabilities through technology. This includes increasing their autonomy, enhancing their security, and preventing isolation by staying socially connected. One way to do so is enabling them a life in their familiar surroundings as long as possible. We present the successful integration of several systems comprising the intelligent medicament blister and the task-based calendar. The intelligent medicament blister helps to increase a patient's compliance and the task-based calendar assists people with cognitive disabilities in their activities of daily living like cooking tea. Furthermore, we present the technical infrastructure such as the universal control hub or the digital product memory. Our long term vision is to promote an accessible intelligent environment based on open standards and architectures and innovative solutions where everyone can continue to play a role in society.

We present ObjectRules, a framework that allows to implement context-dependent assistance in dynamic environments by conceptually and/or physically attaching factual and procedural knowledge to locations, physical objects, and users. At runtime, the knowledge models of present objects are merged with the location's and user's knowledge models to a transient context model which can be used as input for a rule-based system. We describe the general architecture of the ObjectRules framework and demonstrate its practical application in the context of a smart medicine cupboard.