NDLI: Visual estimation of human attributes: An empirical study of context-dependent human observation capabilities

Content Provider	IEEE Xplore Digital Library
Author	Kerker, D. Jenkins, M.P. Gross, G.A. Bisantz, A.M. Nagi, R.
Copyright Year	2014
Description	Author affiliation: Charles River Analytics in Cambridge, Cambridge, MA, USA (Jenkins, M.P.) \|\| Ind. & Syst. Eng., SUNY - Univ. at Buffalo, Buffalo, NY, USA (Bisantz, A.M.) \|\| SUNY - Univ. at Buffalo, Buffalo, NY, USA (Kerker, D.; Gross, G.A.) \|\| Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA (Nagi, R.)
Abstract	Visual estimations of target attributes in a realworld environment are highly context-dependent when the estimations are provided by human observers. For example, the accuracy of an individual estimating the age, height, or weight of another person is dependent upon environmental (e.g., viewing distance), observer (e.g., age/height/weight), and target (e.g., clothing, gate) factors. Prior efforts have attempted to characterize the ability of humans to estimate attributes of other humans; however, these studies typically only present observers with static images in controlled settings. The present study instead characterizes observations of attributes made of a more dynamic, real world. Participants provide estimates of target individuals' ages, heights, and weights, along with other descriptive data, as they watched video recorded scenes of simulated, realistic security incidents. Results indicate the anchoring effect demonstrated in prior efforts may not be as prevalent under more ecologically-valid viewing conditions; however, individuals are still able to provide relatively accurate estimations of individuals' age, height, and weight, with minimal influence of the observers' own physical attributes.
Sponsorship	IEEE Commun. Soc.
Starting Page	40
Ending Page	46
File Size	843643
Page Count	7
File Format	PDF
e-ISBN	9781479935642
DOI	10.1109/CogSIMA.2014.6816538
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Uncertainty Alignment Visual Age Estimation Conferences Visual Weight Estimation Human Observation Visual Height Estimation Soft Data Sensors
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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