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 and method are described for a computer-based picture association game that can be used to elicit market research data, specifically sentiment and awareness data, from consumers. In a first game mode, each player is given an image and a list of phrases, and tasked with selecting the phrase that best describes the image. Then in a second mode, players are presented with a collection of images, including images assigned to players in the first game mode. They are also shown the phrases selected in the first game mode. Each player then has a limited amount of time to both associate these phrases with the corresponding images, and to assist other players in associating his own image. Points are allocated for correct associations. The phrases selected by players and the guesses players make can be analyzed to reveal opinions and knowledge that players have about products, brands, and people.

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 and method are described for a computer-based picture association game that can be used to elicit market research data, specifically sentiment and awareness data, from consumers. In a first game mode, each player is given an image and a list of phrases, and tasked with selecting the phrase that best describes the image. Then in a second mode, players are presented with a collection of images, including images assigned to players in the first game mode. They are also shown the phrases selected in the first game mode. Each player then has a limited amount of time to both associate these phrases with the corresponding images, and to assist other players in associating his own image. Points are allocated for correct associations. The phrases selected by players and the guesses players make can be analyzed to reveal opinions and knowledge that players have about products, brands, and people.

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.