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Title: Improving Abilityy to verify Audio CAPTCHA's (Semester Unknwon) IPRO 316: ImprovingAbilityToVerifyAudioIPRO316EthicsSp10
Creator: Klansky, Gabriel, Schneider, Erick, Kaim, Maxwell, Ciarkowski, Adam, Fabian, Michael, Wallace, Sean, Kipp, Daniel
Date: 2010, 2010-05
Description: CAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) are used to prevent automated access to sensitive...
Show moreCAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) are used to prevent automated access to sensitive information online. In its usual format, users are presented with distorted text and asked to enter the displayed text in an answer box. If successful, humans, but not computers, will be able to interpret the distorted text. Another format of CAPTCHAs asks users to identify audio information (usually a string of digits or phrase of words) that has been distorted or placed against a background of noise (\white" noise, reversed speech, etc.). Users type the words they hear into an answer box. The audio format is intended to be accessible to blind and low-vision users who cannot use the visually-based format. Unfortunately, audio CAPTCHAs are di cult for humans to use (Bigham and Cavendar 2009) but relatively easy for computers to solve (Tam et al. 2008), which is exactly the opposite outcome desired. To take two extreme examples, in one recent study (Sauer et al. 2008), users were able to solve only 46 percent of audio CAPTCHAs, while in another study (Burztein and Bethard 2009), a computer program was able to break 75 percent of audio CAPTCHAs. At issue is whether audio CAPTCHAs can be designed so that users can easily solve them but computers cannot. Yan and Ahmad (2008) propose testing di erent kinds of background noise to determine which is the most e ective at blocking computers but admitting humans. To this end, Tam et al. (2008) suggest using other human voices as background noise (to thwart computers) but familiar phrases as the string to decode (to aid listeners). The current project will focus on selecting from a set of potential solutions to test.
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Title: Improving Abilityy to verify Audio CAPTCHA's (Semester Unknwon) IPRO 316: ImprovingAbilityToVerifyAudioIPRO316FinalReportSp10
Creator: Klansky, Gabriel, Schneider, Erick, Kaim, Maxwell, Ciarkowski, Adam, Fabian, Michael, Wallace, Sean, Kipp, Daniel
Date: 2010, 2010-05
Description: CAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) are used to prevent automated access to sensitive...
Show moreCAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) are used to prevent automated access to sensitive information online. In its usual format, users are presented with distorted text and asked to enter the displayed text in an answer box. If successful, humans, but not computers, will be able to interpret the distorted text. Another format of CAPTCHAs asks users to identify audio information (usually a string of digits or phrase of words) that has been distorted or placed against a background of noise (\white" noise, reversed speech, etc.). Users type the words they hear into an answer box. The audio format is intended to be accessible to blind and low-vision users who cannot use the visually-based format. Unfortunately, audio CAPTCHAs are di cult for humans to use (Bigham and Cavendar 2009) but relatively easy for computers to solve (Tam et al. 2008), which is exactly the opposite outcome desired. To take two extreme examples, in one recent study (Sauer et al. 2008), users were able to solve only 46 percent of audio CAPTCHAs, while in another study (Burztein and Bethard 2009), a computer program was able to break 75 percent of audio CAPTCHAs. At issue is whether audio CAPTCHAs can be designed so that users can easily solve them but computers cannot. Yan and Ahmad (2008) propose testing di erent kinds of background noise to determine which is the most e ective at blocking computers but admitting humans. To this end, Tam et al. (2008) suggest using other human voices as background noise (to thwart computers) but familiar phrases as the string to decode (to aid listeners). The current project will focus on selecting from a set of potential solutions to test.
Deliverables
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Title: Improving Abilityy to verify Audio CAPTCHA's (Semester Unknwon) IPRO 316
Creator: Klansky, Gabriel, Schneider, Erick, Kaim, Maxwell, Ciarkowski, Adam, Fabian, Michael, Wallace, Sean, Kipp, Daniel
Date: 2010, 2010-05
Description: CAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) are used to prevent automated access to sensitive...
Show moreCAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) are used to prevent automated access to sensitive information online. In its usual format, users are presented with distorted text and asked to enter the displayed text in an answer box. If successful, humans, but not computers, will be able to interpret the distorted text. Another format of CAPTCHAs asks users to identify audio information (usually a string of digits or phrase of words) that has been distorted or placed against a background of noise (\white" noise, reversed speech, etc.). Users type the words they hear into an answer box. The audio format is intended to be accessible to blind and low-vision users who cannot use the visually-based format. Unfortunately, audio CAPTCHAs are di cult for humans to use (Bigham and Cavendar 2009) but relatively easy for computers to solve (Tam et al. 2008), which is exactly the opposite outcome desired. To take two extreme examples, in one recent study (Sauer et al. 2008), users were able to solve only 46 percent of audio CAPTCHAs, while in another study (Burztein and Bethard 2009), a computer program was able to break 75 percent of audio CAPTCHAs. At issue is whether audio CAPTCHAs can be designed so that users can easily solve them but computers cannot. Yan and Ahmad (2008) propose testing di erent kinds of background noise to determine which is the most e ective at blocking computers but admitting humans. To this end, Tam et al. (2008) suggest using other human voices as background noise (to thwart computers) but familiar phrases as the string to decode (to aid listeners). The current project will focus on selecting from a set of potential solutions to test.
Deliverables
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Title: Improving Abilityy to verify Audio CAPTCHA's (Semester Unknwon) IPRO 316: ImprovingAbilityToVerifyAudioIPRO316PosterSp10
Creator: Klansky, Gabriel, Schneider, Erick, Kaim, Maxwell, Ciarkowski, Adam, Fabian, Michael, Wallace, Sean, Kipp, Daniel
Date: 2010, 2010-05
Description: CAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) are used to prevent automated access to sensitive...
Show moreCAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) are used to prevent automated access to sensitive information online. In its usual format, users are presented with distorted text and asked to enter the displayed text in an answer box. If successful, humans, but not computers, will be able to interpret the distorted text. Another format of CAPTCHAs asks users to identify audio information (usually a string of digits or phrase of words) that has been distorted or placed against a background of noise (\white" noise, reversed speech, etc.). Users type the words they hear into an answer box. The audio format is intended to be accessible to blind and low-vision users who cannot use the visually-based format. Unfortunately, audio CAPTCHAs are di cult for humans to use (Bigham and Cavendar 2009) but relatively easy for computers to solve (Tam et al. 2008), which is exactly the opposite outcome desired. To take two extreme examples, in one recent study (Sauer et al. 2008), users were able to solve only 46 percent of audio CAPTCHAs, while in another study (Burztein and Bethard 2009), a computer program was able to break 75 percent of audio CAPTCHAs. At issue is whether audio CAPTCHAs can be designed so that users can easily solve them but computers cannot. Yan and Ahmad (2008) propose testing di erent kinds of background noise to determine which is the most e ective at blocking computers but admitting humans. To this end, Tam et al. (2008) suggest using other human voices as background noise (to thwart computers) but familiar phrases as the string to decode (to aid listeners). The current project will focus on selecting from a set of potential solutions to test.
Deliverables
Show less

Title: Improving Abilityy to verify Audio CAPTCHA's (Semester Unknwon) IPRO 316: ImprovingAbilityToVerifyAudioIPRO316ProjectPlanSp10
Creator: Klansky, Gabriel, Schneider, Erick, Kaim, Maxwell, Ciarkowski, Adam, Fabian, Michael, Wallace, Sean, Kipp, Daniel
Date: 2010, 2010-05
Description: CAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) are used to prevent automated access to sensitive...
Show moreCAPTCHAs (Completely Automated Public Turing Test to Tell Computers and Humans Apart) are used to prevent automated access to sensitive information online. In its usual format, users are presented with distorted text and asked to enter the displayed text in an answer box. If successful, humans, but not computers, will be able to interpret the distorted text. Another format of CAPTCHAs asks users to identify audio information (usually a string of digits or phrase of words) that has been distorted or placed against a background of noise (\white" noise, reversed speech, etc.). Users type the words they hear into an answer box. The audio format is intended to be accessible to blind and low-vision users who cannot use the visually-based format. Unfortunately, audio CAPTCHAs are di cult for humans to use (Bigham and Cavendar 2009) but relatively easy for computers to solve (Tam et al. 2008), which is exactly the opposite outcome desired. To take two extreme examples, in one recent study (Sauer et al. 2008), users were able to solve only 46 percent of audio CAPTCHAs, while in another study (Burztein and Bethard 2009), a computer program was able to break 75 percent of audio CAPTCHAs. At issue is whether audio CAPTCHAs can be designed so that users can easily solve them but computers cannot. Yan and Ahmad (2008) propose testing di erent kinds of background noise to determine which is the most e ective at blocking computers but admitting humans. To this end, Tam et al. (2008) suggest using other human voices as background noise (to thwart computers) but familiar phrases as the string to decode (to aid listeners). The current project will focus on selecting from a set of potential solutions to test.
Deliverables
Show less

Title: Zoo Tech (Semester Unknown) IPRO 318: ZooTechIPRO318BrochureF10
Creator: Azodoh, Chinedu, Chiba, Mitsuru, Kobayashi, Jonathan, Perez De Tejada, Antonio, Schneider, Erick, Blosky, Mitchell, Dreher, Taylor, Mis, Ashlie, Puzewski, Jennifer, Callas, Kathleen, Jeffcoat, Brooke, Pauley, Erica, Rojas, Catalina
Date: 2010, 2010-12
Description: Do you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating...
Show moreDo you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating an iPhone application to do just that. We’re working with the Brookfield Zoo education staff and animal researchers to develop a guided inquiry process that will assist users in finding and identifying animals. Getting closer to an animal is a breeze. Because the animals’ locations are mapped, you can find them easily on foot or identify them by their color, pattern, and shape. Learn fun facts about any animal you choose while watching videos and scrolling through pictures. We’re working to create the best tour guide for the zoo that fits in your pocket.
Sponsorship: Brookfield Zoo
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Title: Zoo Tech (Semester Unknown) IPRO 318
Creator: Azodoh, Chinedu, Chiba, Mitsuru, Kobayashi, Jonathan, Perez De Tejada, Antonio, Schneider, Erick, Blosky, Mitchell, Dreher, Taylor, Mis, Ashlie, Puzewski, Jennifer, Callas, Kathleen, Jeffcoat, Brooke, Pauley, Erica, Rojas, Catalina
Date: 2010, 2010-12
Description: Do you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating...
Show moreDo you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating an iPhone application to do just that. We’re working with the Brookfield Zoo education staff and animal researchers to develop a guided inquiry process that will assist users in finding and identifying animals. Getting closer to an animal is a breeze. Because the animals’ locations are mapped, you can find them easily on foot or identify them by their color, pattern, and shape. Learn fun facts about any animal you choose while watching videos and scrolling through pictures. We’re working to create the best tour guide for the zoo that fits in your pocket.
Sponsorship: Brookfield Zoo
Deliverables
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Title: Zoo Tech (Semester Unknown) IPRO 318: ZooTechIPRO318MidTermPresentationF10
Creator: Azodoh, Chinedu, Chiba, Mitsuru, Kobayashi, Jonathan, Perez De Tejada, Antonio, Schneider, Erick, Blosky, Mitchell, Dreher, Taylor, Mis, Ashlie, Puzewski, Jennifer, Callas, Kathleen, Jeffcoat, Brooke, Pauley, Erica, Rojas, Catalina
Date: 2010, 2010-12
Description: Do you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating...
Show moreDo you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating an iPhone application to do just that. We’re working with the Brookfield Zoo education staff and animal researchers to develop a guided inquiry process that will assist users in finding and identifying animals. Getting closer to an animal is a breeze. Because the animals’ locations are mapped, you can find them easily on foot or identify them by their color, pattern, and shape. Learn fun facts about any animal you choose while watching videos and scrolling through pictures. We’re working to create the best tour guide for the zoo that fits in your pocket.
Sponsorship: Brookfield Zoo
Deliverables
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Title: Zoo Tech (Semester Unknown) IPRO 318: ZooTechIPRO318FinalPresentationF10
Creator: Azodoh, Chinedu, Chiba, Mitsuru, Kobayashi, Jonathan, Perez De Tejada, Antonio, Schneider, Erick, Blosky, Mitchell, Dreher, Taylor, Mis, Ashlie, Puzewski, Jennifer, Callas, Kathleen, Jeffcoat, Brooke, Pauley, Erica, Rojas, Catalina
Date: 2010, 2010-12
Description: Do you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating...
Show moreDo you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating an iPhone application to do just that. We’re working with the Brookfield Zoo education staff and animal researchers to develop a guided inquiry process that will assist users in finding and identifying animals. Getting closer to an animal is a breeze. Because the animals’ locations are mapped, you can find them easily on foot or identify them by their color, pattern, and shape. Learn fun facts about any animal you choose while watching videos and scrolling through pictures. We’re working to create the best tour guide for the zoo that fits in your pocket.
Sponsorship: Brookfield Zoo
Deliverables
Show less

Title: Zoo Tech (Semester Unknown) IPRO 318: ZooTechIPRO318Poster2F10
Creator: Azodoh, Chinedu, Chiba, Mitsuru, Kobayashi, Jonathan, Perez De Tejada, Antonio, Schneider, Erick, Blosky, Mitchell, Dreher, Taylor, Mis, Ashlie, Puzewski, Jennifer, Callas, Kathleen, Jeffcoat, Brooke, Pauley, Erica, Rojas, Catalina
Date: 2010, 2010-12
Description: Do you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating...
Show moreDo you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating an iPhone application to do just that. We’re working with the Brookfield Zoo education staff and animal researchers to develop a guided inquiry process that will assist users in finding and identifying animals. Getting closer to an animal is a breeze. Because the animals’ locations are mapped, you can find them easily on foot or identify them by their color, pattern, and shape. Learn fun facts about any animal you choose while watching videos and scrolling through pictures. We’re working to create the best tour guide for the zoo that fits in your pocket.
Sponsorship: Brookfield Zoo
Deliverables
Show less

Title: Zoo Tech (Semester Unknown) IPRO 318: ZooTechIPRO318FinalReportF10_redacted
Creator: Azodoh, Chinedu, Chiba, Mitsuru, Kobayashi, Jonathan, Perez De Tejada, Antonio, Schneider, Erick, Blosky, Mitchell, Dreher, Taylor, Mis, Ashlie, Puzewski, Jennifer, Callas, Kathleen, Jeffcoat, Brooke, Pauley, Erica, Rojas, Catalina
Date: 2010, 2010-12
Description: Do you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating...
Show moreDo you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating an iPhone application to do just that. We’re working with the Brookfield Zoo education staff and animal researchers to develop a guided inquiry process that will assist users in finding and identifying animals. Getting closer to an animal is a breeze. Because the animals’ locations are mapped, you can find them easily on foot or identify them by their color, pattern, and shape. Learn fun facts about any animal you choose while watching videos and scrolling through pictures. We’re working to create the best tour guide for the zoo that fits in your pocket.
Sponsorship: Brookfield Zoo
Deliverables
Show less

Title: Zoo Tech (Semester Unknown) IPRO 318: ZooTechIPRO318PosterF10
Creator: Azodoh, Chinedu, Chiba, Mitsuru, Kobayashi, Jonathan, Perez De Tejada, Antonio, Schneider, Erick, Blosky, Mitchell, Dreher, Taylor, Mis, Ashlie, Puzewski, Jennifer, Callas, Kathleen, Jeffcoat, Brooke, Pauley, Erica, Rojas, Catalina
Date: 2010, 2010-12
Description: Do you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating...
Show moreDo you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating an iPhone application to do just that. We’re working with the Brookfield Zoo education staff and animal researchers to develop a guided inquiry process that will assist users in finding and identifying animals. Getting closer to an animal is a breeze. Because the animals’ locations are mapped, you can find them easily on foot or identify them by their color, pattern, and shape. Learn fun facts about any animal you choose while watching videos and scrolling through pictures. We’re working to create the best tour guide for the zoo that fits in your pocket.
Sponsorship: Brookfield Zoo
Deliverables
Show less

Title: Zoo Tech (Semester Unknown) IPRO 318: ZooTechIPRO318ProjectPlanF10_redacted
Creator: Azodoh, Chinedu, Chiba, Mitsuru, Kobayashi, Jonathan, Perez De Tejada, Antonio, Schneider, Erick, Blosky, Mitchell, Dreher, Taylor, Mis, Ashlie, Puzewski, Jennifer, Callas, Kathleen, Jeffcoat, Brooke, Pauley, Erica, Rojas, Catalina
Date: 2010, 2010-12
Description: Do you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating...
Show moreDo you love the zoo? Do you wish you could see all of the animals and learn about them too in just one easy visit? Our IPRO team is creating an iPhone application to do just that. We’re working with the Brookfield Zoo education staff and animal researchers to develop a guided inquiry process that will assist users in finding and identifying animals. Getting closer to an animal is a breeze. Because the animals’ locations are mapped, you can find them easily on foot or identify them by their color, pattern, and shape. Learn fun facts about any animal you choose while watching videos and scrolling through pictures. We’re working to create the best tour guide for the zoo that fits in your pocket.
Sponsorship: Brookfield Zoo
Deliverables
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