5,318 research outputs found
Pervasive and standalone computing: The perceptual effects of variable multimedia quality.
The introduction of multimedia on pervasive and mobile communication devices raises a number of perceptual quality issues, however, limited work has been done examining the 3-way interaction between use of equipment, quality of perception and quality of service. Our work measures levels of informational transfer (objective) and user satisfaction (subjective)when users are presented with multimedia video clips at three different frame rates, using four different display devices, simulating variation in participant mobility. Our results will show that variation in frame-rate does not impact a userâs level of information assimilation, however, does impact a usersâ perception of multimedia video âqualityâ. Additionally, increased visual immersion can be used to increase transfer of video information, but can negatively affect the usersâ perception of âqualityâ. Finally, we illustrate the significant affect of clip-content on the transfer of video, audio and textual information, placing into doubt the use of purely objective quality definitions when considering multimedia
presentations
Service-oriented Context-aware Framework
Location- and context-aware services are emerging technologies in mobile and
desktop environments, however, most of them are difficult to use and do not
seem to be beneficial enough. Our research focuses on designing and creating a
service-oriented framework that helps location- and context-aware,
client-service type application development and use. Location information is
combined with other contexts such as the users' history, preferences and
disabilities. The framework also handles the spatial model of the environment
(e.g. map of a room or a building) as a context. The framework is built on a
semantic backend where the ontologies are represented using the OWL description
language. The use of ontologies enables the framework to run inference tasks
and to easily adapt to new context types. The framework contains a
compatibility layer for positioning devices, which hides the technical
differences of positioning technologies and enables the combination of location
data of various sources
Physiologically attentive user interface for robot teleoperation: real time emotional state estimation and interface modification using physiology, facial expressions and eye movements
We developed a framework for Physiologically Attentive User Interfaces, to reduce the interaction gap between humans and machines in life critical robot teleoperations. Our system utilizes emotional state awareness capabilities of psychophysiology and classifies three emotional states (Resting, Stress, and Workload) by analysing physiological data along with facial expression and eye movement analysis. This emotional state estimation is then used to create a dynamic interface that updates in real time with respect to userâs emotional state. The results of a preliminary evaluation of the developed emotional state classifier for robot teleoperation are presented, along with its future possibilities are discussed.info:eu-repo/semantics/acceptedVersio
Forecasting User Attention During Everyday Mobile Interactions Using Device-Integrated and Wearable Sensors
Visual attention is highly fragmented during mobile interactions, but the
erratic nature of attention shifts currently limits attentive user interfaces
to adapting after the fact, i.e. after shifts have already happened. We instead
study attention forecasting -- the challenging task of predicting users' gaze
behaviour (overt visual attention) in the near future. We present a novel
long-term dataset of everyday mobile phone interactions, continuously recorded
from 20 participants engaged in common activities on a university campus over
4.5 hours each (more than 90 hours in total). We propose a proof-of-concept
method that uses device-integrated sensors and body-worn cameras to encode rich
information on device usage and users' visual scene. We demonstrate that our
method can forecast bidirectional attention shifts and predict whether the
primary attentional focus is on the handheld mobile device. We study the impact
of different feature sets on performance and discuss the significant potential
but also remaining challenges of forecasting user attention during mobile
interactions.Comment: 13 pages, 9 figure
Developing Unobtrusive Mobile Interactions: a Model Driven Engineering approach
In Ubiquitous computing environments, people are surrounded by a lot of embedded services. With the inclusion of pervasive technologies such as sensors or GPS receivers, mobile devices turn into an effective communication tool between users and the services embedded in their environment. All these services compete for the attentional resources of the user. Thus, it is essential to consider the degree in which each service intrudes the user mind when services are designed.
In order to prevent service behavior from becoming overwhelming, this work, based on Model Driven Engineering foundations, is devoted to develop services according to user needs. In this thesis, we provide a systematic method for the development of mobile services that can be adapted in terms of obtrusiveness. That is, services can be developed to provide their functionality at different obtrusiveness levels by minimizing the duplication of efforts.
For the system specification, a modeling language is defined to cope with the particular requirements of the context-aware user interface domain. From this specification, following a sequence of well-defined steps, a software solution is obtained.Gil Pascual, M. (2010). Developing Unobtrusive Mobile Interactions: a Model Driven Engineering approach. http://hdl.handle.net/10251/12745Archivo delegad
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