Cited by 24Human Mobility and Location-Based AnalysisRecommender Systems and TechniquesInformation Retrieval and Data Mining

Social net: using patterns of physical proximity over time to infer shared interests

Terry, Michael, Mynatt, Elizabeth D., Ryall, Kathy, Leigh, Darren·2002·CHI '02 extended abstracts on Human factors in computer systems - CHI '02

Abstract

We describe Social Net, a novel interest-matching application that uses patterns of collocation, over time, to infer shared interests between users. Social Net demonstrates new possibilities and methods for using the capabilities of mobile devices equipped with RF-communications.

Integrity signals

Registry

Crossref · 10.1145/506558.506612

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Ambient technology can record location information of actors and thereby establish baseline probabilities for future interactions.

    “The ambient technology can record location information of actors (Terry, Mynatt, Ryall, & Leigh, 2002) and therefore establish baseline probabilities for future interactions.”

    From The mechanics of trust: A framework for research and design (2005) · cites this paper as Terry, Mynatt, Ryall, & Leigh, 2002

Cited by

Sorted by citations

Authors
Terry, M., Mynatt, E. D., Ryall, K., & Leigh, D.
Affiliations
  • Georgia Institute of Technology (US)
  • Mitsubishi Electric Research Laboratories (United States) (US)
Venue
CHI '02 extended abstracts on Human factors in computer systems - CHI '02
Publisher
ACM Press
Published
2002
OpenAlex
W4233437307
Cited by
24
References
0
Citations by year
2021: 1 · 2014: 1 · 2012: 3
Type
conference abstract
Language
en
Open access
closed
Locations
CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (publishedVersion)
Topics
  • Social Sciences › Transportation › Human Mobility and Location-Based Analysis
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Data Mining
Keywords
interest matching, social networking, collocation patterns, mobile devices, radio frequency communication

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review