When you sit down at a computer and engage in an activity, no matter what it is, it must inevitably fall into at least one (and often more) of these three categories:
- Production
- Creation
- Relaxation
The “real world” analogues to these categories are art, craft, and (for lack of a better word, since I don’t want to just reuse “relaxation”) entertainment. All life pursuits have elements of these categories. Art is driven by imagination. Craft implies more hard work and focus on technique. Entertainment is of psychological value, as a de-stressing agent, and can fuel both art and craft.
So, on your computer. Writing an email to your mom? Creation and relaxation. Looking up a recipe? All three. Doing your taxes? Production. Editing a home video? All three. Making graphics for the website your boss needs? Creation and production. Playing a videogame? Relaxation. Making weekend plans with a friend? Production and relaxation.
What does this mean for interaction design? How can programs understand what activity you’re engaging in and optimize its suitability for that activity? This gets back to context, which I’ve written about before and will write about again. If I’ve been chatting with a friend and then switch to my web browser and look up movie times, my computer should know that I’m in relaxation mode with a hint of the production, and make subtle changes to how it reacts to my activities: if I then start to look for someone’s email address, it should know to suggest friends, and preferably local ones, before coworkers. If I’ve been writing work-related code for a solid hour and then switch to my IM buddy list, it should know that I probably want to talk to my coworkers about something and, perhaps, enlarge their names in the list slightly. These are subtle touches, but easily doable, and if enough of them are consistently added across your entire computing platform, the overall enhancement to usability and simplicity could be tremendous.
Obviously this requires a level of computer “understanding” of your data and actions that hasn’t been reached yet, but there are strides in that direction. Social networking tools and community websites are making your relationship data available for programmatic access, so determining who’s a friend and who’s a coworker is becoming easier. By watching your calendar and work-related activities throughout each day, your computer can learn when you’re generally working, and take that into account when making schedule-related suggestions. By checking the location of your geotagged photos and matching the photo’s descriptive terms (tags, title, etc.) with other items in your data-profile, software can guess where certain people live or where certain activities take place.
This is all part of your computer being context-aware. Once the intercommunication between applications and (secure) exposure of your data to approved applications is comprehensive, your computer will be able to use its knowledge to make whatever aspect of computing you’re engaging in — creation, production, or relaxation — simpler, faster, and better.
