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aWare: Situation aware mobile system
We are observing that the criteria for engaging in situation awareness between individuals is based on emotional interpretation of context data such as presence, activity, social company, mood, level of busyness, ambient sound, light and location. These combined metrics usually decide the topic, tone and duration of an interaction. To allow the same rules for engaging in conversations in the virtual world, the aWare system needs to provide similar, life-like context data. The “aWare messenger,” our first implementation of an aWare-based system, achieves these desired data by providing situation-aware communication through generating a sense of presence and emotional status (mood), and by employing location and context-awareness capabilities. Conceptually, the aWare messenger is supporting community interaction and sense of belonging by providing information on group members’ presence, mood, and activity. aWare is both a concept and a rich research agenda for topics such as mood capturing, user experience acceptance, and privacy. magicHat: mobile interaction and annotation of the physical and social space
Since we are using hats as a form of self-expression, or to identify ourselves as part of a group, we advance that the hat is the right metaphor for the form factor. Relevant examples of this form of self-expression are plentiful; sports arenas abound with unifying team logos or colors, and groups of tourists often try to keep together using elements of fashion for identification. It is generally hard to dynamically annotate physical and social space in a way that enables the individual to create a traceable memory record. Our wearable computer is built around the notion of providing useful just-in-time information as well as a mechanism for recording social events. We choose the hat metaphor for practical reasons. The hat is
fixed on the head, which correlates with the user’s view.
This way, we can provide an implicit pointing mechanism for
space annotation and delivery of just-in-time contextual
information. |
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