Last week was ASIS&T 2011. I put together a series of blog posts, one to cover each day. I had every intention of making them pretty, but it’s been a week and it doesn’t look like that’s going to happen. So here — in raw form — are my notes from Monday, Oct. 9, 2011.
How To Identify Ducks In Flight
Starts with duck identification. Males different identification marks than female. ~100 species in US.
Citizen Science Projects: Captcha, Fold It (proteins folded), Galaxy Zoo (digital map ID of galaxy)
Pretty dull interface, but asks for necessary information about sightings.
1.7 million of checklists worldwide, 99% data collected in 2011
Key: understanding audiences!
Using crowdsourcing techniques to develop their community (pic of Crowdsourcing book)
My eBird, names on lists (’cause everyone likes to see their name in print), competitions
Tools to access the data submitted in different ways
Use mashup technologies — Google maps & purple dots
1,300,000 hours volunteered to eBird
humans the only one who can identify biodiversity. Equipment can observe individual items such as environmental conditions.
Data ONE: how to pull all the data together and create meaningful associations between the datasets
data interoperability challenges
link semantic relationships & syntactic data
Used dublin (Darwin) core, expanded out to to create system that researchers can use.
50-75 publications per year from dataset
Create the data, also provides access to data and publishes results. Full scale!
Concerned with scalability — local to regional to national
Can see migratory patterns over time
Zoom in to allow land managers to see impacts of decision on bird species
Allows to see habitat preferences of birds — unknown before project started
How to apply information?
State of the Birds report from Secretary of the Interior — biological indicator
How birds use public lands? GIS analysis overlay public lands map w/ birds
Most birds found on BLM lands (BLM energy extraction, not conservation)
Used during oil spill to track affects on birds
Found very few died from result of spill
Gulf of Mexico environmental report card
several environmental indicies, grade for different regions
NEXrad imagery to see migration + sounds at different locations
Sounds hard to identify to species, use to sound waves to use machines to identify birds. Very accurate
Use to see how birds migrate, make forecasts to help mitigate hazards to birds (wind turbines, skyscrapers, etc)
Ux: Novelty Aesthetic appeal, usability, focus attention, felt involvement, endurability
Why needed for framework of human / information interactions?
User Engagement Scale (31 point scale)
Reflection on the research product
Snapshots, log files, interviews
Change in competence? Needs? Motivation? Comprehension?
Contextual Variables Measurements
Context = mood, activities prior to info interactions
Experience = perceptions and memories of interactions
Preference = changes in info behaviours
Emotions can affect how a user completes a task. Does a user have information preferences? Better interaction or worse interaction = stronger the memory.
Continuity — prior experience & knowledge
Pertinent eval — Subjective assessment
Heuristics — judgements based on mind’s basic computations