@article{RoTh06, title = {Attention aware systems: Theories, applications and research agenda}, author = {Claudia Roda and Julie Thomas}, journal = {Computers in Human Behavior}, pages = {557-587}, volume = {22}, year = {2006}, biburl = {http://www.bibsonomy.org/bibtex/2eeac5dcab85ac1005b4a8072212cf20c/carsten}, abstract = {Human perceptual and cognitive abilities are limited resources. Attention is the mechanism used to allocate such resources in the most effective way. Current technologies, in addition to allowing fast access to information and people, should be designed to support human attentional processes on which they impose further strain. This paper analyses the issues related to the design of systems capable of such support: attention aware systems. We introduce the research aimed at understanding and modelling human attentional processes, including perceptual and cognitive processes as studied in cognitive psychology, as well as rhetorical, aesthetic, and social aspects related to attentional mechanisms. We analyse current approaches to the design of attention aware systems along three major features: detection of user�s current attentional state, detection and evaluation of possible alternative attentional states, strategies for focus switch or maintenance. Finally, we discuss the most promising research direction for the development of systems capable of supporting human attentional mechanisms.}, owner = {ritterskamp}, file = {RoTh06.pdf:RoTh06.pdf:PDF}, comment = {Attention Aware Systems add to the design guidelines for systems dealing with fragmented work. Negative effects of interruptions: "introdurcing task switching increases the mean completion time" (p. 566) Wechsel zwischen Aufgaben muss gut unterst�tzt werden, um Kosten zu minimieren Die Bedeutung von Cues: "providing cues about the context of the interrupted work would support attentional processes in task resumption" (p. 566). Dies zur (gegenteiligen?) Auffassung von OuSa06 in Beziehung setzen!}, timestamp = {2006.07.19}, standort = {Ordner - hier Annotationen beachten!}, keywords = {context diss interruptions } }