ESC Human Factors Target Outputs
From Earth Science Information Partners (ESIP)
Outputs from telecon on 2012-02-23
From Emily:
- How about a set of human factors relating to science research practices questions/answers? For instance,
- What hinders researchers from sharing their results?
- Kuo - need to look at hindrances or lack thereof in different spheres, such as team members vs. competitors
- What relationships do people expect to have in a collaboratory?
- leverage other's knowledge, but need to account for competitive aspect
- What social media are widely used by researchers?
- What do researchers want?
- What hinders researchers from sharing their results?
maybe a white paper, document pain points, can identify key issues so human factors is not a problem
- What types of data and info are shared at the end of the day?
- Chris: human factors can also be positive influences?
- Bhaskhar: UX studies (HCI) are they germane? Yes, need to investigate
- B. : how do you ensure collaboratory does not inhibit pioneering research?
- option a: just don't work there
- option b: make sure collab supports "secret" personal workspace (analogy with Internet)
- Social proof:
- Cognitive biases
- e.g. Ownership bias, make the collaboratory more about the content (i.e., contributions) than the framework
- Hook - make it more of an ecosystem, kind of like the Internet
- factor cognitive biases into collaboratory
- Features (kind of like requirements) based on questions/answers
- How do we relate this to user stories? User stories are more longitudinal?
- Brian: make sure that this list is checked off against the user stories as well.
- Delighters?
- Bhaskar: what does this collaboration entail? sharing data, sharing algorithms?
- AI: let's put together a simple list of what we share, eg. higher level data (not so much raw data)
- We're sharing data, but also meta information, knowledge
- collaboratory in wiki: (need to add link)