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  • feedwordpress 16:00:08 on 2017-02-23 Permalink
    Tags: apps, , , emails,   

    Email Notifications 

    How many of our emails should we know about the moment someone decides to email us?

    205 billion.  That’s the number of emails we sent and received in 2015, and that number is expected to grow to 246 billion by 2019.[1]  What does this mean for most of us?  A steady stream of new messages coming into our inboxes throughout the day.  And for most of us, it seems to be a norm to keep our inboxes open throughout the work day.  We focus on the tasks we have at hand, and each “ping” from our inbox draws our attention, even if briefly, before we return back to our work.

    The problem here is the high cost of interruption.  This cost includes three categories: 1) time cost 2) performance cost 3) stress/ emotional well-being.

    Time Cost  In terms of time cost, researches have shown that any switching between tasks results in a loss of time.  In other words, “multi-tasking” is a misnomer – we aren’t actually doing two tasks at once.  We are doing one task, switching to the other, and then switching to the original task. One study showed that after switching tasks, it took an average of 23 minutes and 15 seconds for people to get back to their original task.[2]

    Performance Cost It should be no surprise to us that distraction can cause reductions in cognitive performance.  In psychological terms, “task-irrelevant thoughts,” that is – thoughts that are unrelated to the task at hand, have indeed been shown to have deleterious effects on performance.[3]

    A recent study published in The Journal of Experimental Psychology illustrates how this plays out for cell phones in particular, focusing on the distraction that cell phone notifications can create.  In this study, participants were tasked with completing a task involving seeing items and pressing a button every time the item was a digit from 1-9, unless it was the number 3.  Some were interrupted with notifications and others were not.  The study found that the notification groups were more likely to make errors than the no-interruption group.

    Stress/Emotional Well-Being   A third factor to consider with interruptions is the effect they have on people’s well being.  Task switching is fatiguing for us; it depletes us.  One study showed that interruptions resulted in higher feelings of stress, pressure and effort.[4]

    At this point, it should be painfully clear to us that we need to be worried about the interruptions-economy.  What value interruptions provide, under what conditions, and what are their costs?  A little ping may seem innocuous, but there is cumulating evidence that the cost of an interruption is higher than we realize, and of course given the sheer number of interruptions, their combined effect can very quickly become substantial.

    If email interruptions can have all these negative effects, what can we do to reduce them?  The first thing we should question is this idea that all emails are created equal.  Should each email be able to interrupt people?  Is the email from someone’s boss as important as the weekly industry newsletter he’s signed up for?  What if we designed a different system in which emails were not treated equally?

    In a previous study, we looked at how many emails truly are worthy of interruption.  We asked people to look at the last 40 emails they received and asked them how soon they really needed to have seen each email.  Immediately?  At some point today?  At some point this week?  At some point this month?  No need to see it at all?

    As it turns out, very few – only 12%! – of emails need to be seen within 5 minutes of being sent.

    7% of emails need to be seen within 1 hour, 4% within 4 hours, 17% by the end of the day, 10% by the end of the week, 15% at some point, and a whopping 34% fell into the “no need to see it” category.

    With that initial starting point – the idea that very few emails need to be seen right away – we set out to build a tool to allow people create rules for receiving emails.   We used a very simple sorting technique: sorting emails based on the sender.  In other words, depending on the sender, emails could be set to be received at different intervals.  No complex AI or learning mechanisms.

    picture1

    Example of instructions users were given

     

    picture2

    Example of prompt to set rule by each sender

    What did we find?  People proceeded to create rules based on senders.  Similar to our initial findings, only 23% of emails were set up to be in the “immediate” category.  10% were relegated to the every-4-hours category, 19% to the end of the day, 16% to the end of the week, 5% to some day and a whopping 27% to the “never” category.

    picture3

    We also looked at whether people who received high vs, low quantities of emails behaved differently.  While on the whole they had similar behavior, one interesting point of note is that people with 50+ emails/day put highest number of emails into “immediately bucket” (30%) vs. 10-49 emails/day (20%) and <10 emails/day (26%).

    picture4

    Overall, the key point and opportunity we should take away from all of this is that a very simple mechanism can have an impact, creating a significant amount of benefit for people.  If you’d like to try this app for improving your email process for yourself, you can download it here.

    [1] http://www.radicati.com/wp/wp-content/uploads/2015/02/Email-Statistics-Report-2015-2019-Executive-Summary.pdf

    [2] Mark, G., Gudith, D., & Klocke, U. (2008). The cost of interrupted work: More speed and stress. Paper presented at the 107-110. doi:10.1145/1357054.1357072

    [3] Smallwood, J., & Schooler, J. W. (2006). The restless mind. Psychological Bulletin, 132, 946–958. http://dx.doi.org/10.1037/0033-2909.132.6.946

    [4] Mark, G., Gudith, D., & Klocke, U. (2008). The cost of interrupted work: More speed and stress. Paper presented at the 107-110. doi:10.1145/1357054.1357072


     
  • feedwordpress 13:00:02 on 2016-11-09 Permalink
    Tags: apps, , , Game   

    In the Home of the Free, Why Are So Many People in Prison? 

    The high rate of incarceration in the United States is fraught with social and economic costs. Relatively recent increases in our incarceration rate make us an international outlier and carry a price tag of more than $80 billion annually (more than quadruple the 1980 corrections expenditures). This is despite an overall reduction in crime rates between 1990 and 2012.

    In addition to the overall incarceration rate, there is a staggering gap between the incarceration rates of black Americans and white Americans. The gap is most clearly seen between black and white males. Based on 2001 incarceration rates, nearly 1 in 3 (32.2%) black males will will be sentenced to prison during their lifetimes, whereas the rate for white males is 5.9%.

    pt1

    Topic 5 in Fair Game? asked users to think about how much greater the rate of imprisonment is for black versus white men in the US and how much greater it should be in a fair world.

    pt2

    On the whole, our users estimated that black males have an 11x greater imprisonment rate than white males. In reality, recent data shows the imprisonment rate is 6x greater.

    How much more greater do people think the imprisonment rate should be in a fair world? 3x more likely.

    pt3

    Estimates for the greater likelihood of imprisonment were remarkably similar across all age groups, as were our users’ beliefs about what would be fair.

    pt4

    What about gender? Males and females differ in their estimates of the greater rate of imprisonment, estimating 10 and 12 times greater likelihoods, respectively. But they agree in what they think a fair rate would be — 3x.

    pt5

    And political leaning? People who identify as conservative and those who identify as liberal estimate the same (11x) greater rate of imprisonment. In terms of how much greater the rate should be in a fair society, conservatives answered 5x more likely and liberals answered 2x more likely. So although their understanding of the world is similar, their notions of fairness, for this topic, are very different.

    Together, the data reported here suggest that people overestimate the gap in the incarceration rate by race. And they would reduce the size of the gap that they perceive. There are many factors that contribute to the racial disparity in imprisonment rate. The so-called War on Drugs may be the single largest factor, with Blacks and Hispanics disproportionately representing those in state prisons for drug offenses and sentenced for federal drug trafficking offenses. These offenses often carry harsh mandatory sentences, further exacerbating the disparities. Discrimination has been shown to be a problem at multiple levels of the criminal justice system, including law enforcement, prosecution, sentencing, and reentry to society.

    Beyond the pervasive problem of racial discrimination, another consideration is more purely economic– the growth of private companies building and running prisons. Oliver Hart (a 2016 Nobel prize-winner in Economics) and his coauthors have written about private prison contracts and their tendency to induce the wrong incentives by not focusing on outcomes.  

    There are economic benefits to reducing the prison population, including reduced costs for taxpayers (construction, maintenance and operation of prisons) and of course income and opportunities for those who would otherwise have been imprisoned. Several states have drug decriminalization ballot initiatives in this year’s election and it will be interesting to see whether these have an impact on the rate of imprisonment in those states. What other possibilities might decrease the prison population and reduce the racial disparity in the rate of imprisonment?  

    Please join us and play along by downloading Fair Game? from iTunes or Google Play.

    pt6


     
  • feedwordpress 20:30:23 on 2016-11-02 Permalink
    Tags: apps, ,   

    Rock the Vote 2016! 

    Thousands of people are currently involved with getting out the vote. They canvas neighborhoods, stand on street corners, write letters, make calls, and donate money to campaigns. But they rarely know if this has an impact. That’s about to change.

    We teamed up with Rock the Vote and VoteRockIt to design and build a new app that allows highly engaged voters to make an impact within their personal networks. The Rock the Vote 2016 app amplifies the motivation and energy of get-out-the-vote volunteers by creating direct links from dedicated voters to their more complacent friends.

    Here’s where science comes in. Research has found that simply making a plan can be incredibly effective for actual follow-through. Additionally, letting your friends, family, and co-workers know that voting fulfills a social obligation is something that can serve as an important reminder of their civic duty and generate more interest and involvement going forward.

    Interested? Great! We’re here to help you channel your efforts into impacting our democracy, one fence-sitter friend at a time. Become a voter champion by inviting friends in your virtual or local networks to join your team; sign the Rock the Vote pledge, find your polling site, look up the candidates on your ballot, and share posts to your larger social media networks. Most importantly, turn your voting enthusiasm into action-based, goal-driven steps for others. Use the app to encourage your complacent friends to commit to voting, to make a concrete plan, and finally, to share that they’ve actually done it. The power is in your hands.

    Download Rock the Vote 2016 for Apple or Android and start the chain reaction today. Use Invite Code ‘10000’ to register as a Voter Champion.

    vote2   vote1

    The team that created the app includes Dan Ariely, Julie O’Brien PhD, Steven Prince PhD, Stephanie Tepper, and Allison Waters (Center for Advanced Hindsight), Matt Hudson (app developer and founder of VoteRockit), and the civic tech and policy team at Rock the Vote.


     
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