ACM Transactions on Applied Perception
E61018
ACM Transactions on Applied Perception is a peer-reviewed scientific journal focusing on research at the intersection of computer science, psychology, and human perception, particularly in areas such as graphics, visualization, and human-computer interaction.
All labels observed (3)
| Label | Occurrences |
|---|---|
| ACM Transactions on Applied Perception canonical | 2 |
| Applied Perception | 1 |
| applied perception in computing | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T487983 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM Transactions on Applied Perception Context triple: [ACM Transactions series, hasMemberJournal, ACM Transactions on Applied Perception]
-
A.
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence is a leading peer-reviewed journal that publishes cutting-edge research in computer vision, pattern recognition, and machine learning.
-
B.
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia is a peer-reviewed scientific journal that publishes research on the processing, analysis, and management of multimedia content such as audio, video, images, and interactive media.
-
C.
Communications of the ACM
Communications of the ACM is a leading peer-reviewed magazine that publishes articles and research on computer science and information technology for the global computing community.
-
D.
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing is a leading peer-reviewed scientific journal covering theory, algorithms, and applications in the field of image and video processing.
-
E.
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ACM Transactions on Applied Perception Target entity description: ACM Transactions on Applied Perception is a peer-reviewed scientific journal focusing on research at the intersection of computer science, psychology, and human perception, particularly in areas such as graphics, visualization, and human-computer interaction.
-
A.
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence is a leading peer-reviewed journal that publishes cutting-edge research in computer vision, pattern recognition, and machine learning.
-
B.
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia is a peer-reviewed scientific journal that publishes research on the processing, analysis, and management of multimedia content such as audio, video, images, and interactive media.
-
C.
Communications of the ACM
Communications of the ACM is a leading peer-reviewed magazine that publishes articles and research on computer science and information technology for the global computing community.
-
D.
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing is a leading peer-reviewed scientific journal covering theory, algorithms, and applications in the field of image and video processing.
-
E.
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic journal
ⓘ
peer-reviewed journal ⓘ scientific journal ⓘ |
| abbreviation | ACM TAP ⓘ |
| academicDiscipline |
computer graphics
ⓘ
computer science ⓘ human–computer interaction ⓘ perception ⓘ psychology ⓘ visualization ⓘ |
| associatedOrganization |
ACM SIGGRAPH
ⓘ
ACM Special Interest Group on Computer Graphics and Interactive Techniques ⓘ
linked to:
ACM SIGGRAPH
|
| countryOfPublisher |
United States
ⓘ
linked to:
United States of America
|
| field |
applied perception in computing
ⓘ
linked to:
ACM Transactions on Applied Perception
|
| focusesOn |
applied perception
ⓘ
perception for human–computer interaction ⓘ perceptual evaluation of visualization ⓘ perceptually based rendering ⓘ psychophysical experiments related to computing ⓘ user studies in graphics and visualization ⓘ visual perception in computer graphics ⓘ |
| hasCategory |
ACM journal
ⓘ
linked to:
ACM Transactions series
cognitive science journal ⓘ computer science journal ⓘ human–computer interaction journal ⓘ |
| hasPublisherType | scholarly society publisher ⓘ |
| issnType |
electronic ISSN
ⓘ
print ISSN ⓘ |
| language | English ⓘ |
| medium |
online
ⓘ
print ⓘ |
| peerReviewed | true ⓘ |
| publisher |
ACM
ⓘ
Association for Computing Machinery ⓘ |
| publishingModel | journal ⓘ |
| subjectArea |
applied perception
ⓘ
auditory perception in computing ⓘ multisensory perception in computing ⓘ perceptual metrics for graphics ⓘ perceptually motivated algorithms ⓘ user-centered evaluation of interactive systems ⓘ visual perception ⓘ |
| targetAudience |
perception scientists interested in computing
ⓘ
researchers in computer graphics ⓘ researchers in human–computer interaction ⓘ researchers in visualization ⓘ |
| website | https://tap.acm.org/ ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: ACM Transactions on Applied Perception Description of subject: ACM Transactions on Applied Perception is a peer-reviewed scientific journal focusing on research at the intersection of computer science, psychology, and human perception, particularly in areas such as graphics, visualization, and human-computer interaction.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: ACM Transactions on Applied Perception
linked to: ACM Transactions on Applied Perception