114 research outputs found
Multimodality in Pervasive Environment
Future pervasive environments are expected to immerse users in a consistent
world of probes, sensors and actuators. Multimodal interfaces combined
with social computing interactions and high-performance networking can foster a
new generation of pervasive environments. However, much work is still needed to
harness the full potential of multimodal interaction. In this paper we discuss some
short-term research goals, including advanced techniques for joining and correlating
multiple data flows, each with its own approximations and uncertainty models.
Also, we discuss some longer term objectives, like providing users with a mental
model of their own multimodal "aura", enabling them to collaborate with the network
infrastructure toward inter-modal correlation of multimodal inputs, much in
the same way as the human brain extracts a single self-conscious experience from
multiple sensorial data flows
Towards Activity Context using Software Sensors
Service-Oriented Computing delivers the promise of configuring and
reconfiguring software systems to address user's needs in a dynamic way.
Context-aware computing promises to capture the user's needs and hence the
requirements they have on systems. The marriage of both can deliver ad-hoc
software solutions relevant to the user in the most current fashion. However,
here it is a key to gather information on the users' activity (that is what
they are doing). Traditionally any context sensing was conducted with hardware
sensors. However, software can also play the same role and in some situations
will be more useful to sense the activity of the user. Furthermore they can
make use of the fact that Service-oriented systems exchange information through
standard protocols. In this paper we discuss our proposed approach to sense the
activity of the user making use of software
Moving on from Weiser's Vision of Calm Computing: engaging UbiComp experiences
A motivation behind much UbiComp research has been to make our lives convenient, comfortable and informed, following in the footsteps of Weiser's calm computing vision. Three themes that have dominated are context awareness, ambient intelligence and monitoring/tracking. While these avenues of research have been fruitful their accomplishments do not match up to anything like Weiser's world. This paper discusses why this is so and argues that is time for a change of direction in the field. An alternative agenda is outlined that focuses on engaging rather than calming people. Humans are very resourceful at exploiting their environments and extending their capabilities using existing strategies and tools. I describe how pervasive technologies can be added to the mix, outlining three areas of practice where there is much potential for professionals and laypeople alike to combine, adapt and use them in creative and constructive ways
Affective Guide with Attitude
The Affective Guide System is a mobile context-aware and spatial-aware system, offering the user with an affective multimodal interaction interface. The system takes advantage of the current mobile and wireless technologies. It includes an ‘affective guide with attitude’ that links its memories and visitor’s interest to the spatial location so that stories are relevant to what can be immediately seen. This paper presents a review of related work, the system in detail, challenges and the future work to be carried out
The Java Context Awareness Framework (JCAF) – A Service Infrastructure and Programming Framework for Context-Aware Applications
Abstract. Context-awareness is a key concept in ubiquitous computing. But to avoid developing dedicated context-awareness sub-systems for specific applica-tion areas there is a need for more generic programming frameworks. Such frame-works can help the programmer to develop and deploy context-aware applications faster. This paper describes the Java Context-Awareness Framework – JCAF, which is a Java-based context-awareness infrastructure and programming API for creating context-aware computer applications. The paper presents the design principles behind JCAF, its runtime architecture, and its programming API. The paper presents some applications of using JCAF in three different applications and discusses lessons learned from using JCAF.
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