CS295J/Boards from class 7.11

Identifying and Addressing Common Workflow Gaps in Brain Data Analysis (Caroline)

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Notes: Combine with some kind of cognitive load measurement, insight evaluation, to discover patterns that help explain evaluation results?

Comparison of user experience across different platform combos (Wenjun)

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Notes: Compare work efficiency, user experience and other factors in different platform combos for users who need to transfer data between softwares

The factors we can consider to compare :

• The type of users: are they multi-tasking people ? Or do they like better to spend long time on one software and then turn to another ? What is the percentage of each group of people? How does this habit difference influence the design of software combo ?

• The use of time : What is the time expense in the switching tasks ? Which is the better , AAABBB OR ABABAB ? (A and B stands for different softwares, and each character stands for an hour's work)

• For different features, what kind of softwares assist each other ? what kind of softwares conflict each other ? Can we apply some cognitive principles ?

• Given a task and a software in use , how to develop a strategy to select the best software match in a software pool for this given software?

• Could you design a graph or an experiment to measure how usable , how annoying and how ... among different combos .

• Hypothesis

1 We assume that consistency should be an important factor in platform combos. The universal identifier, function of shortcuts, transferred data forms, software operations should keep the same.

2 If impossible to keep the same , we should make them totally different. Because being similar is even worse. It will make a lot of confusions . We may design an experiment to testify that for the same function or feature , " the exactly same design" is better than " totally different design " , which are both better than " similar design ".

Predicting Analyst Performance at Acquisition Quality Assessment from Visual Scanning of Brain Image Montages (Steve)

Notes: (More to come)

Memory-Modulated Visual Search Patterns (Clara and Nathan)

Task: Attempt to identify user search patterns while navigating an interface to find a given item that could be in multiple locations.

Hypothesis: 1. Users will check the most recent location that the item was found, then the next most recent, etc. 2. Users will check the location where the item is most frequently found, then the next most frequent, etc.