Abstract: A system recommends to a healthcare professional (HCP) (230) medical literature that is of relevance to the HCP's patients. The system communicates with the HCP (230) and accesses electronic health record (EHR) documents in a database (210) associated with the HCP's patients. The system analyzes the contents of the EHR documents to query a medical-literature database (212) for publications that are deemed relevant to the EHR documents. The extracted publications are then presented to the HCP.

Abstract: A system is described for a computer-based word-guessing game that can be used to elicit market-research data, specifically sentiment and awareness data. The two-person game involves a clue giver and a guesser, each playing on their own mobile device. The clue giver sends clues to induce the guesser to guess a given target word or phrase before a countdown clock runs out. The clues used and the guesses made can be analyzed to reveal the opinions and knowledge that the players have about products, brands, and people. The game features a novel mechanic in which the clue words are categorized according to how obvious they are. Using more-obvious clues causes the countdown clock to decrement faster, thereby making the game play more strategic and entertaining, while also incentivizing the clue giver to use less-obvious, sentiment-oriented words that are more useful for market-research purposes.

Abstract: A system is described for a computer-based word-guessing game that can be used to elicit market-research data, specifically sentiment and awareness data. The two-person game involves a clue giver and a guesser, each playing on their own mobile device. The clue giver sends clues to induce the guesser to guess a given target word or phrase before a countdown clock runs out. The clues used and the guesses made can be analyzed to reveal the opinions and knowledge that the players have about products, brands, and people. The game features a novel mechanic in which the clue words are categorized according to how obvious they are. Using more-obvious clues causes the countdown clock to decrement faster, thereby making the game play more strategic and entertaining, while also incentivizing the clue giver to use less-obvious, sentiment-oriented words that are more useful for market-research purposes.

Abstract: A system is described for a computer-based word-guessing game that can be used to elicit market-research data, specifically sentiment and awareness data. The two-person game involves a clue giver and a guesser, each playing on their own mobile device. The clue giver sends clues to induce the guesser to guess a given target word or phrase before a countdown clock runs out. The clues used and the guesses made can be analyzed to reveal the opinions and knowledge that the players have about products, brands, and people. The game features a novel mechanic in which the clue words are categorized according to how obvious they are. Using more-obvious clues causes the countdown clock to decrement faster, thereby making the game play more strategic and entertaining, while also incentivizing the clue giver to use less-obvious, sentiment-oriented words that are more useful for market-research purposes.

Abstract: A graphical figure is defined. A library of simple tasks is created using trial stimulus/response combinations. A hill climbing algorithm is employed to find a stimulus/response combination that accomplishes an optimum result for each task. An animation editor facilitates the creation of composite animated sequences by causing the retrieving and displaying of a first simple task, controlling the length of time the first simple task is displayed and by causing the retrieving and displaying of additional simple tasks and controlling the length of time the additional simple tasks are displayed.