HCI Finals

• Database Query


  The principal mechanism to retrieve information from a database
• Structured Query Language (SQL)


  The standard query format used by many database management systems
• Database queries have provided a substantial amount of help in the human-computer interface
• Database Query


  • SELECT DOCUMENT#

  FROM JOURNAL-DB

  WHERE (DATE >= 2004 AND DATE <= 2008

  AND (LANGUAGE = ENGLISH OR FRENCH)

  AND (PUBLISHER = ASIST OR HFES OR ACM)
• Five-phase Frameworks That Clarifies User Interfaces For Textual Search

  1. Formulation

  2. Initiation Of Action

  3. Review Of Results

  4. Refinement

  5. Use
• Formulation


  Expressing the search
• Initiation Of Action


  Launching the search
• Review Of Results


  Reading messages and outcomes
• Refinement


  Formulating the next step
• Use


  Compiling or disseminating insight
• MULTIMEDIA DOCUMENT SEARCHES

  • Design or Diagram Search / Sound Search / Animation Search / Video Search / Map Search / Image Search
• Design/Diagram Search


  • Some design packages support the search for designs or diagrams as well. E.g., diagrams, blueprints, newspapers, etc.
• Sound Search


  • It can also be done easily through an audio search of the database. The user should clearly speak the words or phrases for search.
• Animation Search


  • The frequency of it has increased with the popularity of Flash. Now it is possible to search for specific animations such as a moving boat.
• Video Search


  • New projects such as Info media help in retrieving it. They provide an overview of the videos or segmentations of frames from the video.
• Map Search


  • It is another form of multimedia search where the online maps are retrieved through mobile devices and search engines. A structured database solution is required for complex searches such as searches with longitude/latitude. With the advanced database options, we can retrieve maps for every possible aspect such as cities, states, countries, world maps, weather sheets, directions, etc.
• Image Search


  • Complexity: Searching images through common search engines can be challenging.
  • Alternative Methods: Certain websites and tools facilitate image searches by allowing users to input their chosen images or use simple drawing tools to create templates.
• Image Search Engine


  A database of images searchable via keywords, allowing users to find relevant images.
• Google Image Search established

  July 12, 2001
• Google Image Search


  • Google's image search engine is renowned for its comprehensiveness and popularity. Users can find images labeled for reuse for various purposes like logos, website banners, blog posts, or advertisements on platforms like Facebook.
• Using Google Images


  You can search for images to use for your website, blog, ads, and other marketing content.
• Google Images is the best image search engine in the market, you'll find the most extensive collection of pictures on it than any other platform.
• Function of Google Images

  With Google Images, you can sort through images of specific sizes, colors, what type of image it is, and more, by simply typing in keywords. You can then sort images by their license by clicking Tools and then Usage Rights. You'll want to use an image that's labeled for reuse . Images under that section can be used for blog posts, ads, or other marketing activities.
• Advanced Image Search


  • A specialized software for complex searches like fingerprint matching, specialized software is developed. Users can search for predefined data of distinct features.
• Information Visualization


  The interactive visual illustrations of conceptual data that strengthen human understanding.
• Information Visualization has emerged from the research in human-computer interaction and is applied as a critical component in varied fields.
• Information Visualization allows users to see, discover, and understand huge amounts of information at once.
• Information Visualization is an assumption structure, which is typically followed by formal examination such as statistical hypothesis testing.
• Information Visualization


  • This map, generated in Google maps, offers two simple ways of representing the route from Chiang Mai in Northern Thailand to the capital of Thailand, Bangkok, in the center of the country. The first representation consists of written instructions on how to go from Chiang Mai to Bangkok (as you can see it's a pretty simple drive– though it's worth noting that it would be more complex if we were to be moving between specific points within each city). The second representation is an image of the route itself imposed on a map. Both representations represent value to different people. The first, the instructions, are highly useful to people who need to get from Chiang Mai to Bangkok directly. For example, a businessman goes to a meeting.
• Filtering with complex Boolean Queries


  • It has been restricted by their difficulty to use. Boolean uses of AND and OR are different from their use in natural English which can lead to confusion. Many metaphors and visual aids have been developed to help alleviate the difficulty of using Boolean queries, but their usefulness is quickly diminished as queries increase in complexity.
• Filtering with complex Boolean Queries


  • In natural English, "List employees living in Lubbock AND Amarillo", will be responded to by a human with a list of all the employees living in Lubbock and all the employees living in Amarillo. However, Boolean logic will only return a list of employees that live in both cities and only both cities, meaning that an empty list would be returned.
• Automatic Filtering


  Users create a collection of key phrases that are used to automatically filter dynamically generated information (e-mails, newspaper stories, journal articles). Each time a new document is generated and it matches the user's search criteria then a notification is sent to the user, or the results are saved for later review.
• Dynamic Queries


  A search approach that uses sliders and buttons to allow users to specify ranges and categories. The actions of users manipulating buttons, sliders, and fields result in the ability to rapidly reverse actions, make incremental changes, and provide immediate feedback. Because immediate feedback is expected by most users of Dynamic queries, data must usually be readily available on the user's local system.
• Potential issues with Dynamic Queries: Possibility of wasted time on no-hit queries and mega-return queries.
• Faceted Metadata Search


  Search technique that uses categorical menus, images, and keywords.
• Faceted Metadata Search

  • NewEgg.com
• Query by Example


  Search that lets users submit data as an example that is used to search for similar data.
• Implicit Search


  Data is collected base on other searches and context to present other possibilities to users.
• Implicit Search


  • Product suggestions on Amazon.com
• Collaborative Filtering


  Groups of users combine their personal searches to help each other find items of interest.