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Dean Eckles Phones & Addresses

  • 124 Hamilton St, Cambridge, MA 02139
  • Gualala, CA
  • San Francisco, CA
  • Palo Alto, CA
  • Mountain View, CA
  • Auburn, CA
  • Mendocino, CA

Work

Company: Facebook Jun 2012 Address: Menlo Park, CA Position: Scientist

Education

Degree: PhD School / High School: Stanford University 2008 to 2012 Specialities: Communication; Human-Computer Interaction

Skills

User Experience • Human Computer Interaction • User Centered Design • Statistics • Research • Mobile Devices • Interaction Design • Usability Testing • User Research • Data Visualization • User Experience Design • Statistical Modeling • User Interface • Psychology • Social Influence • Information Architecture • Rapid Prototyping • Ethnography • Experience Design • Mobile Applications • Social Network Analysis • Causal Inference • Participatory Media • Adaptive Systems • Persuasion • Statistical Data Analysis • User Interface Design

Industries

Higher Education

Resumes

Resumes

Dean Eckles Photo 1

Associate Professor

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Location:
Cambridge, MA
Industry:
Higher Education
Work:
Facebook - Menlo Park, CA since Jun 2012
Scientist

Facebook Jun 2010 - Jun 2012
Consultant & Researcher-in-Residence

Stanford CHIMe Lab Sep 2008 - Jun 2012
Research Assistant

Nokia Research Center Mar 2007 - Oct 2009
Member of Research Staff

Persuasive Technology Lab, Stanford University Jun 2004 - Jun 2007
Mobile Research Specialist
Education:
Stanford University 2008 - 2012
PhD, Communication; Human-Computer Interaction
Stanford University 2010 - 2011
MS, Statistics
Stanford University 2006 - 2007
MS, Symbolic Systems: Human-Computer Interaction
Stanford University 2002 - 2006
BS, Symbolic Systems: Human-Computer Interaction
Stanford University 2002 - 2006
BA, Philosophy, with Honors
Skills:
User Experience
Human Computer Interaction
User Centered Design
Statistics
Research
Mobile Devices
Interaction Design
Usability Testing
User Research
Data Visualization
User Experience Design
Statistical Modeling
User Interface
Psychology
Social Influence
Information Architecture
Rapid Prototyping
Ethnography
Experience Design
Mobile Applications
Social Network Analysis
Causal Inference
Participatory Media
Adaptive Systems
Persuasion
Statistical Data Analysis
User Interface Design

Publications

Us Patents

System And Method For Providing Highly Readable Text On Small Mobile Devices

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US Patent:
20060100984, May 11, 2006
Filed:
Nov 4, 2005
Appl. No.:
11/267028
Inventors:
Brian Fogg - Stanford CA, US
Gregory Cuellar - Palo Alto CA, US
Dean Eckles - Stanford CA, US
International Classification:
G06F 17/30
US Classification:
707001000
Abstract:
A system which includes a cell phone or other mobile device which uses RSVP (rapid serial visual presentation) to present text information. The mobile device software receives the textual material to be displayed in a mark-up language, preferably XML. The markup language is used to provide information about the actual content being displayed to indicate certain features using enhanced RSVP techniques. To provide these marked-up language files to the mobile device, a backend system is utilized. The backend system receives the files to be read and parses them to provide the markup language based on the desired changes to be used by the advanced RSVP display of the mobile device. The marked up file can be forwarded on a routine basis or can be requested by the user. The mobile device receives the marked up file and displays the material in the enhanced RSVP methods according to the commands.

Method, Apparatus And Computer Program Product For Providing Gaze Information

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US Patent:
20100054526, Mar 4, 2010
Filed:
Sep 3, 2008
Appl. No.:
12/203576
Inventors:
Dean Eckles - Palo Alto CA, US
International Classification:
G06K 9/00
US Classification:
382100
Abstract:
An apparatus for providing gaze information may include a processor. The processor may be configured to receive content, determine gaze information of an individual relative to the content, modify the gaze information based on modification criteria, modify the content based on the modified gaze information, and provide for visualization of the modified content. A corresponding method and computer program product are also provided.

Determining User Personality Characteristics From Social Networking System Communications And Characteristics

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US Patent:
20140074920, Mar 13, 2014
Filed:
Sep 10, 2012
Appl. No.:
13/608943
Inventors:
Michael Nowak - San Francisco CA, US
Dean Eckles - Palo Alto CA, US
International Classification:
G06F 15/16
US Classification:
709204
Abstract:
A social networking system obtains linguistic data from a user's text communications on the social networking system. For example, occurrences of words in various types of communications by the user in the social networking system are determined. The linguistic data and non-linguistic data associated with the user are used in a trained model to predict one or more personality characteristics for the user. The inferred personality characteristics are stored in connection with the user's profile, and may be used for targeting, ranking, selecting versions of products, and various other purposes.

Network-Aware Product Rollout In Online Social Networks

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US Patent:
20180158097, Jun 7, 2018
Filed:
Feb 2, 2018
Appl. No.:
15/887628
Inventors:
- Menlo Park CA, US
Dean Eckles - San Francisco CA, US
Brian Karrer - San Francisco CA, US
Johan Ugander - Ithaca NY, US
Lars Seren Backstrom - Mountain View CA, US
Jon Kleinberg - San Francisco CA, US
International Classification:
G06Q 30/02
H04L 29/08
G06Q 50/00
H04W 4/21
Abstract:
In one embodiment, a method includes sending, from an application server to a first set of client systems, instructions for providing a treatment to a first set of users. The method includes determining an average treatment effect of the treatment for the first set of users based on information about user interactions associated with the treatment and a network exposure to the treatment for each user. Network exposure for a user is a measure of other users associated with the user that have been provided the treatment. The method includes modifying the treatment based on the determined average treatment effect. The method includes sending, to a second set of client systems, instructions for providing the modified treatment to a second set of users. The second set of users is a discrete, non-overlapping set of users with respect to the first set.

Systems And Methods For Content Presentation

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US Patent:
20170177578, Jun 22, 2017
Filed:
Dec 18, 2015
Appl. No.:
14/975433
Inventors:
- Menlo Park CA, US
Vibhi Kant - San Francisco CA, US
Gregory Matthew Marra - San Francisco CA, US
Dean Griffin Eckles - San Francisco CA, US
Yaroslav O. Dudin - San Jose CA, US
International Classification:
G06F 17/30
H04L 29/08
G06N 7/00
Abstract:
Systems, methods, and non-transitory computer-readable media can obtain at least one content item to be scored with respect to a user, wherein the score is used to determine whether the content item is included in a content feed of the user. A value for a first event is determined based at least in part on a likelihood of the user performing an action with respect to the content item, wherein the likelihood of the user performing the action is greater than an average user of the social networking system. The score for the content item is determined based at least in part on the value for the first event, wherein the first value is dampened to reduce its contribution to the score.

Determining User Personality Characteristics From Social Networking System Communications And Characteristics

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US Patent:
20160283485, Sep 29, 2016
Filed:
Jun 3, 2016
Appl. No.:
15/173009
Inventors:
- Menlo Park CA, US
Dean Eckles - Cambridge MA, US
International Classification:
G06F 17/30
G06N 99/00
G06Q 50/00
G06Q 30/02
H04L 12/58
H04L 29/08
Abstract:
A social networking system obtains linguistic data from a user's text communications on the social networking system. For example, occurrences of words in various types of communications by the user in the social networking system are determined. The linguistic data and non-linguistic data associated with the user are used in a trained model to predict one or more personality characteristics for the user. The inferred personality characteristics are stored in connection with the user's profile, and may be used for targeting, ranking, selecting versions of products, and various other purposes.

Network-Aware Product Rollout In Online Social Networks

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US Patent:
20160117721, Apr 28, 2016
Filed:
Jan 7, 2016
Appl. No.:
14/990611
Inventors:
- Menlo Park CA, US
Dean Eckles - San Francisco CA, US
Brian Karrer - San Francisco CA, US
Johan Ugander - Ithaca NY, US
Lars Seren Backstrom - Mountain View CA, US
Jon Kleinberg - San Francisco CA, US
International Classification:
G06Q 30/02
G06Q 50/00
H04L 29/08
Abstract:
In one embodiment, a method includes accessing a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each node corresponding to a user of an online social network, identifying a plurality of clusters in the social graph using graph clustering, providing a treatment to a first set of users based on the clusters, and determining a treatment effect treatment for the users in the first set based on a network exposure to the treatment for each user.

Network-Aware Product Rollout In Online Social Networks

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US Patent:
20150019639, Jan 15, 2015
Filed:
Jul 10, 2013
Appl. No.:
13/939093
Inventors:
- Menlo Park CA, US
Dean Eckles - San Francisco CA, US
Brian Karrer - San Francisco CA, US
Johan Ugander - Ithaca NY, US
Lars Seren Backstrom - Mountain View CA, US
Jon Kleinberg - San Francisco CA, US
International Classification:
H04L 29/06
US Classification:
709204
Abstract:
In one embodiment, a method includes accessing a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each node corresponding to a user of an online social network, identifying a plurality of clusters in the social graph using graph clustering, providing a treatment to a first set of users based on the clusters, and determining a treatment effect treatment for the users in the first set based on a network exposure to the treatment for each user.
Dean Griffin Eckles from Cambridge, MA, age ~40 Get Report