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Future Data Collection
CARMA Internet Research ModuleJeff Stanton
Several Promising Environments and Techniques
• Visual Surveys• Audio and video interviewing• Virtual Worlds• Web scraping• Network extraction and mapping• Polls Everywhere• Mobility
Visual SurveysVisual DNA: http://www.visualdna.com/Also try: http://www.youniverse.com/
Visual Surveys
Provides an engaging alternative to text-based surveys; more fun for respondents
Requires considerable set-up time; each screen is like an item; each picture is like an item response; every item and response must be keyed against one or more criteriaExample: Previous page, “How do you approach
stress,” could be keyed against other subjective or objective measures of stress, coping, general health, immune response, etc.
Audio and Video Interviewing
Methods: Structured, semi-structured, and unstructured interviewing; focus groups
Products: Skype, WebEx, Adobe Connect, Cisco Telepresence
Advantages: Reduced travel costs, speed
Disadvantages: High bandwidth,user technology requirements, unreliable connections
Virtual Worlds
Combine text and audio chat with social networking and 3D model building
Methods: Structured, semi-structured, and unstructured interviewing; focus groups; unobtrusive observation; participant observation; possibly some experimental perceptual, cooperative, or navigational tasks
Products: VastPark, OpenSim, EduSim, TeleplaceAdvantages: Speed, low costDisadvantages: Steep learning curve; high bandwidth;
user technology requirements; unreliable connections
Web Scraping
Web Scraping
Retrieval and processing of text or images, e.g., from blogs; processing may include semantic analysis of people, events, emotions
Methods: Archival document analysisProducts: 100s of commercial, mainly focused on brand,
reputation, marketing; open source product: WebHarvestAdvantages: Data are plentiful and cover a wide range of
topicsDisadvantages: Technology hard to master; even after
considerable automated processing, analysis has an intensive, qualitative flavor
Network Mapping
Mapping Social Networks
Nicholas Christakis of the Framingham Heart Study has shown the power of social networks to influence a variety of health outcomes
Methods: Traditional self-report & objective measures; topographical measures such as network centrality; “neighbor” measures
Products: Depends on data types; TouchGraph is a network web search engine; InFlow; UCInet; See: http://en.wikipedia.org/wiki/Social_network_analysis_software
Advantages: Meaningful improvement in predictive capabilityDisadvantages: Intensive technique requires careful planning and
setup
Facebook Polls
Embedded Polls
Collection of short-format survey data from social networking and membership sites
Methods: Primarily standard, closed-ended self-report; single item scales
Products: Example: Vizu provides a “widget” that allows embedding of polls on Facebook pages
Advantages: Quick, cheap, possible to get a large sample in a short time
Disadvantages: Difficult to control access, short format limits use of multi-item scales
Mobility
Data Collection from Mobile Devices
Using smartphones and other mobile devices as a basis for interacting with participants
Methods: Primarily self-report but can include location and movement data
Products: Example: Survey On The Spot allows location aware surveys to be delivered to smart phones; TrailGuru collects route data from hikers and joggers
Advantages: Platform is becoming ubiquitous, location data provides new options for understanding behavior
Disadvantages: Privacy issues, small screen, complex programming interfaces