Hyperallergic: “In plain terms, across the field, in museums, art institutions, performance forums, and even historical societies, the visitor’s experience is now being personalized. This means that not only is the visit marked by enhanced, interactive, and ‘dialogic’ engagement, but also there is an institutional recognition of the visitor as an independent maker of meaning who uses the museum in a variety of ways to fulfill particular, individual needs and desires.”
“Three key means of accomplishing this is first, recognizing visitors’ capacity to make meaning for themselves; two, partnering with them to discover what they personally want from the museum; and lastly, mobilizing the museum’s resources to meet these needs. These tasks can be met by, among other things, new curatorial strategies through which museums partner with visitors to develop activities and events: co-curation projects, and crowdsourcing exhibition content.”
“Visitors are no longer passive receptacles for the curator’s knowledge, but rather active, engaged participants.”
In The New York Times, Nick Bilton offers several reasons why so much wearable technology has not worn so well. “First, almost all of them require a smartphone to be fully operational … a wearable becomes yet another gadget that we need to lug around. There’s also the fact that most of these devices are quite ugly … Then there’s the unpleasant fact that the technology just doesn’t seem ready … But the biggest issue may be the price … consumers just can’t justify buying a smartwatch that costs nearly as much as a smartphone.”
Geoffrey A. Fowler, writing in The Wall Street Journal, meanwhile extols the virtues of the Mio, which uses a metric called Personal Activity Intelligence (PAI), which tracks heart patterns rather than foot movement. “Mio’s hardware isn’t as elegant as others on the market, but PAI is the best example yet of how wearables can turn data into tailored, actionable advice, and hopefully longer lives,” Geoffrey writes.
“Unlike step counting, where you start over each morning at zero, PAI runs on a rolling weekly tally … Everyone’s PAI is a little different, by design. The formula takes into account your age, gender, resting heart rate, max heart rate and other unique signals. It’s personal Big Data,” Geoffrey writes.