An Ohio State University study found that media multitasking — e.g., reading a book while watching TV — results in poor cognitive performance on both tasks; we keep doing both anyways because we get an emotional boost when we do.An Ohio State University study found that media multitasking — e.g., reading a book while watching TV — results in poor cognitive performance on both tasks; we keep doing both anyways because we get an emotional boost when we do.
drivers miss 50% of things they'd otherwise see (billboards, _pedestrians) when texting-while-driving
students made quadruple the errors when interrupted with a popup vs. non-interrupted group
Reaching for a phone mb is a function of not bn satisfied w/ what we're currently doing (endogenously or exogenously influenced):
These endogenously driven drifts of attention might arise from a desire for more immediate gratification when ongoing goal-directed activities are not perceived as rewarding (Melcher, 2013), a point to which we return below. Once attention has been shifted to the smartphone for one purpose (e.g., by virtue of a specific notification source), users often then engage in a chain of subsequent task-unrelated acts on the smartphone, thereby extending the period of disruption.
In app notys and interruptions are heinous:
Studies exploring these ‘within-phone’ interruptions have found that task completion in one app can be delayed by up to 400% by an unintended interruption from another app.
Results from two experiments indicate that even when people are successful at maintaining sustained attention—as when avoiding the temptation to check their phones—the mere presence of these devices reduces available cognitive capacity. Moreover, these cognitive costs are highest for those highest in smartphone dependence. We conclude by discussing the practical implications of this smartphone-induced brain drain for consumer decision-making and consumer welfare
a gnu-y trove
stuff like this has been bn done for parkinsons etc. but something abt this one is kinda haunting: study (opens new window)
We present algorithms that run on smartphones and unobtrusively detect opioid overdose events and their precursors. Our proof-of- concept contactless system converts the phone into a short-range active sonar using frequency shifts to identify respiratory depression, apnea, and gross motor movements associated with acute opioid toxicity.
other haunting lines include:
The time delay (∆t) is given by 2d/vs, where d is the distance of the human body from the smartphone and vs is the speed of sound in air. When the subject’s chest moves because of breathing, the distance (d) to the smartphone and the corresponding time delay of its echo (∆t) at the microphone change.
this technology specficially was used for sleep apnea, cue bizarre science-writer description of the differences between a sleep laboratory and a supervised injection site, a "dynamic and stmulating environment", thither "overheard music plays [...]":
The SIF where our experiments were performed is a highly dynamic and stimulating environment; recording devices are prohibited within the SIF, but the environment can be observed in a public domain report (37). For example, there are routinely several people around; there is talking among clients; staff and clients walk around; overhead music plays; and occasionally, personal dogs are within the environment. In addition, there is climate control equipment and a special indoor ventilation system (to remove the smoke from heroin preparation), all of which produce ambient noise. In short, there are several environmental elements in the high-risk opioid use domain that differ from the controlled setting of a sleep laboratory.