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

Post-stroke depression : Hur sjuksköterskor kan identifiera tidiga tecken på depression hos patienter som överlevt stroke

Bakgrund: Stroke är en av de mest förekommande sjukdomarna i västvärlden och innefattar en stor grupp patienter. Poststroke depression är den vanligaste komplikationen efter insjuknande i stroke och är underbehandlat och underdiagnostiserat. Syftet med studien var att undersöka hur sjuksköterskor kan identifiera tidiga tecken på depression hos patienter som överlevt stroke. Metoden som vi använt är en litteraturstudie med artikelgranskning. Analysen vi använt oss av är en innehållsanalys baserad på Graneheim och Lundmans (2003) beskrivning. Resultatet visade att sjuksköterskor med hjälp av sina observationer, kunskap, bra fungerande kommunikation, ett nära förhållande mellan sjuksköterskor, patienter och deras anhöriga kan upptäcka tidiga tecken på depression hos patienter som överlevt stroke. Det finns också olika diagnostiska skalor och screening verktyg som kan vara sjuksköterskan till hjälp vid identifiering av tidiga tecken på depression. Slutsatser: Vi fann att sjuksköterskor är förmögna att upptäcka tidiga tecken på depression hos patienter som överlevt stroke genom god interaktion, kommunikation och iakttagelseförmåga, men att det krävs mer kunskap, tid och resurser för att uppnå det bästa resultatet

Project Lachesis: parsing and modeling location histories

Abstract. A datatype with increasing importance in GIS is what we call the location history–a record of an entity’s location in geographical space over an interval of time. This paper proposes a number of rigorously defined data structures and algorithms for analyzing and generating location histories. Stays are instances where a subject has spent some time at a single location, and destinations are clusters of stays. Using stays and destinations, we then propose two methods for modeling location histories probabilistically. Experiments show the value of these data structures, as well as the possible applications of probabilistic models of location histories.

User Location Modeling Based on Heterogeneous Data Sources

Over the past decade, interest in home automation systems constantly grew. This yields especially for daily life - considering the connection of intelligent everyday devices through the Internet of Things. To allow automatic actions on these devices, user localization systems have become a major input modality for smart home systems. The location of a user (or rather a subject) can be determined by different localization techniques, such as sensitive floor systems, discrete activity sensors like light switches or RSSI-based WLAN/Bluetooth beacons (e.g. smartphones). These heterogeneous data sources provide various means of user location certainty, the ability to identify a user or the ability to recognize multiple subjects in the same location. In order to achieve a higher grade of accuracy, multiple data sources can be combined by location fusioning algorithms. However, to allow the integration of such algorithms on a hardware independent basis, a common user location model is needed, which can represent all important aspects of these localization techniques. This paper investigates the concepts of existing user localization systems and develops a new model to represent the location of subjects based on already existing location models. An implementation is provided based on Eclipse SmartHome, an open-source building automation framework