Author: molly

This paper in five sentences: People should look at IoT through the lens of CSCW and here’s why. IoT is objects cooperating or “socialising” with each other and with people. The objects and people need to coordinate to be effective. Context needs to be taken into account. We should study how people use IoT technology…

Moderate googling did not reveal any mention of Soylent data being used to train AIs, which surprises me…  The fact that I hadn’t heard of Soylent before this paper also surprised me—why isn’t it so popular that “Soylent” is a household name?  (Well, it kind of is, but it’s in reference to the soy-based beverage…

First, I’d like to draw our attention to the adorable pre-Facebook networking site Netville: ‘‘Netville’’ residents with broadband Internet connections and access to a local online community discussion board were more likely to be involved with their neighbors than were their non-wired peers: They recognized three times as many and talked to twice as many….

[P]eople who agreed in the past are likely to agree again So simple, and yet this heuristic is the bedrock of every modern recommendation algorithm.  This is “Because you watched X” on Netflix and “Others who viewed Y also viewed” on Amazon, and the basic idea behind our Facebook feeds.  Behold: collaborative filtering. Before, there…

Imagine being someone who had developed a meeting scheduler when this bomb dropped⁠—ouch! Half the paper is spent on how futile it is to make a meeting scheduler (“the most widely available and the least useful groupware application”). At the time this article was written by Jonathan Grudin, you had single-user applications and you had…

While reading the first half of this paper, in the back of my mind was the thought: “2000…what technology did we have then…I wonder what this Babble is going to be?”  When I actually got to the section on the prototype: “Oh my G**, were these authors the first ones to conceptualize modern chats?!  Holy…

Before this paper by Herbert H. Clark and Susan E. Brennan, apparently the going theory was that people talk in the most efficient way possible – the principle of least effort, it was called.  As if we plan out what we’re going to say so we give just enough information in the least possible amount…

I come from faraway Maryland to pursue my Masters in CS.  My undergrad is in math from UMBC (University of Maryland – Baltimore County).  I worked at the MITRE Corporation for three years after college, working test and evaluation for national security-related research projects, primarily related to crowd-sourced anticipatory intelligence: using “wisdom of the crowds”…