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Paper Citation Record · LEDGER

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires

As of 13 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2411.13118.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.13118 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

Observation c9a41cce-71cd-42b2-ae90-a1bad1f121ff · outbound

This paper cites an unresolved cited work.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Unresolved cited work

Reference 1

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This paper cites Efficient measurement of the user expe - rience of interactive products. how to use the user experience questionnaire (ueq).example: Spanish language version,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Efficient measurement of the user expe - rience of interactive products. how to use the user experience questionnaire (ueq).example: Spanish language version,

Reference 2

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This paper cites an unresolved cited work.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Unresolved cited work

Reference 3

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Observation e5b9c5a3-d926-46ef-9043-15a106be10a4 · outbound

This paper cites Standardized usability questionnaires: Features and quality focus,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Standardized usability questionnaires: Features and quality focus,

Reference 4

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This paper cites Applicability of user experience and usability questionnaires,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Applicability of user experience and usability questionnaires,

Reference 5

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This paper cites On the importance of ux quality aspects for different product categories,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires On the importance of ux quality aspects for different product categories,

Reference 6

Resolution
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This paper cites A comparison of ux questionnaires - what is their underlying concept of user experience?.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A comparison of ux questionnaires - what is their underlying concept of user experience?

Reference 7

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This paper cites From usability to user experience,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires From usability to user experience,

Reference 8

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This paper cites The thing and i: Understanding the relation - ship between user and product,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires The thing and i: Understanding the relation - ship between user and product,

Reference 9

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This paper cites Distributed Representations of Words and Phrases and their Compositionality.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Distributed Representations of Words and Phrases and their Compositionality

Reference 10

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This paper cites Siamese CBOW: Optimizing Word Embeddings for Sentence Representations.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Siamese CBOW: Optimizing Word Embeddings for Sentence Representations

Reference 11

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Observation a6b52e65-d224-4c45-94a3-5e1dd92a8358 · outbound

This paper cites Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 12

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Sentence similarity based on semantic nets and corpus statis - tics,

Reference 13

Resolution
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This paper cites A statistical approach to mechanized encoding and searching of literary information,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A statistical approach to mechanized encoding and searching of literary information,

Reference 14

Resolution
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This paper cites A statistical interpretation of term specificity and its application in retrieval,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A statistical interpretation of term specificity and its application in retrieval,

Reference 15

Resolution
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This paper cites Okapi at trec-3,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Okapi at trec-3,

Reference 16

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Observation 9a12a050-34da-43f6-9c49-1f563b2a6daf · outbound

This paper cites Indexing by latent semantic analysis,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Indexing by latent semantic analysis,

Reference 17

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This paper cites Distributed representations of sen - tences and documents,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Distributed representations of sen - tences and documents,

Reference 18

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Sentence-bert: Sentence embed- dings using siamese bert -networks,

Reference 19

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Observation bcafdd02-2c95-4f85-a804-0e267c46fef8 · outbound

This paper cites Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

Reference 20

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Observation feb73d92-19da-4835-b40b-af049155a9b8 · outbound

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Sentence Similarity Based on Contexts,

Reference 21

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Empirical simi - larity,

Reference 22

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Observation 529a4b73-d043-4cca-b2a9-4bf0eeb9fd7f · outbound

This paper cites What causes the dependency between perceived aesthetics and perceived usability?,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires What causes the dependency between perceived aesthetics and perceived usability?,

Reference 23

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Apparent usability vs. inherent usability, chi’95 conference companion,

Reference 24

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Aesthetics and apparent usability: Empirically assessing cultural and methodological issues,

Reference 25

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Cognitive processes causing the relationship between aesthetics and usability,

Reference 26

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This paper cites The role of visual complexity and prototypi - cality regarding first impression of websites: Working towards understanding aesthetic judgments,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires The role of visual complexity and prototypi - cality regarding first impression of websites: Working towards understanding aesthetic judgments,

Reference 27

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This paper cites A test of the context dependency of three causal models of halo rater error.,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A test of the context dependency of three causal models of halo rater error.,

Reference 28

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This paper cites Inferential beliefs in con- sumer evaluations: An assessment of alternative processing strategies,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Inferential beliefs in con- sumer evaluations: An assessment of alternative processing strategies,

Reference 29

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Unresolved cited work

Reference 30

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This paper cites Formalising guidelines for the design of screen layouts,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Formalising guidelines for the design of screen layouts,

Reference 31

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A method of quantifying order in typographic design,

Reference 32

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This paper cites Stan - dardized questionnaires for user experience evaluation: A systematic literature review,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Stan - dardized questionnaires for user experience evaluation: A systematic literature review,

Reference 33

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Construction and evaluation of a user experience questionnaire,

Reference 34

Resolution
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Observation 38c6d98c-057c-4bc7-b260-8ee66f6a488d · outbound

This paper cites Ueq user experience questionnaire,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Ueq user experience questionnaire,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.203986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:53:16.718037Z digest=sha256:be7ba4a33fcee1974352f334c1b830b8d0546967ed59436e29e0345874682507

Observation 95b5a748-820f-47ee-b2df-74bc57fb65b0 · outbound

This paper cites A proposed index of usability: A method for comparing the relative usability of different software systems,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A proposed index of usability: A method for comparing the relative usability of different software systems,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.187352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:53:16.722601Z digest=sha256:45a76bfe1ab610d6c97db1496f66ab0d7959e46dd1c24758982a81e8c7e2ac1a

Observation e2affceb-efe1-4941-9663-d7482001c9f4 · outbound

This paper cites Schrepp, User Experience Questionnaires: How to use questionnaires to measure the user experience of your prod - ucts? KDP, ISBN-13: 979-8736459766, 2021.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Schrepp, User Experience Questionnaires: How to use questionnaires to measure the user experience of your prod - ucts? KDP, ISBN-13: 979-8736459766, 2021

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.727208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.727208Z digest=sha256:f63c53bbc298a8fc57db68176a7d7855c12f81128761de2453d94e1548431fa7

Observation 45b0e184-3929-4372-820b-b02b2fa8424e · outbound

This paper cites Design and validation of a framework for the creation of user experience questionnaires,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Design and validation of a framework for the creation of user experience questionnaires,

Reference 38

Resolution
malformed identifier
no resolver link, observed 2026-08-12T16:53:16.731863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.731863Z digest=sha256:bc92dcb8ada85644b0105c121d31478130cf194db8668da07e9c778c48b418f1

Observation c1d8d2a5-0ccf-45a6-9fd3-96309148ff10 · outbound

This paper cites Ueq+ a modular extension of the user experience questionnaire,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Ueq+ a modular extension of the user experience questionnaire,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.149690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:53:16.736615Z digest=sha256:1bba0930d9ff6fef3394cd246d19dace555d3f71d132f0faeb1af43eb70f5992

Observation 68707ef9-289f-46b4-9265-96d9b15849c4 · outbound

This paper cites Faktoren der user experience: Systematische u¨bersicht u¨ber produktrelevante ux-qualita¨tsaspekte,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Faktoren der user experience: Systematische u¨bersicht u¨ber produktrelevante ux-qualita¨tsaspekte,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.133734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:53:16.741351Z digest=sha256:b0e591c4b4668bd8772e35f30a5eba8e58bf511dfcc1b38bbd403c3ba6bf349f

Observation d7661c0b-835d-47a0-96e9-7e804441f231 · outbound

This paper cites Quantifying user experience through self-reporting questionnaires: A systematic analysis of sentence similarity between the items of the measurement approaches,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Quantifying user experience through self-reporting questionnaires: A systematic analysis of sentence similarity between the items of the measurement approaches,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.117446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:53:16.745864Z digest=sha256:cbfc45f23a6d180aa78388ac3a9f85ed69db4526942c20a03bfd23662ad405c5

Observation 9f87190f-20dd-417f-ac2a-a764944e5d4f · outbound

This paper cites Applying augmented sbert and bertopic in ux research: A sentence similarity and topic model- ing approach to analyzing items from multiple questionnaires,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Applying augmented sbert and bertopic in ux research: A sentence similarity and topic model- ing approach to analyzing items from multiple questionnaires,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.101353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:53:16.750175Z digest=sha256:38d835164858233e410c60bea35998ae9102773cf985df52e462cf4e5e658abe

Observation a992dc62-73e2-4e72-ba6b-c5e90fe4f1e0 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.755097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.755097Z digest=sha256:2d6e2bd87ab454323879a62dca8367247d961170a53643388a7219c179eb069e

Observation 4634e1e2-09ef-458f-9505-4b3a4d31be10 · outbound

This paper cites A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.759919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.759919Z digest=sha256:3dd85a543cbe7007ca2323612ba82927c7d223db6dddc433bca76caaee4b8b8a

Observation ff7c75c0-2fec-4583-9b68-ec0ebdc46ca8 · outbound

This paper cites The power of generative ai: A review of requirements, models, inputndash;output formats, evaluation metrics, and challenges,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires The power of generative ai: A review of requirements, models, inputndash;output formats, evaluation metrics, and challenges,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.764618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.764618Z digest=sha256:42958878eddb5deef3b8829a3c6d1a8d6fcd3cc49516859c8aa15532acb4b7d3

Observation 19ffa1cc-1ca7-438f-bc66-758ce79c7bde · outbound

This paper cites GPT-4 Technical Report.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires GPT-4 Technical Report

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.774210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.774210Z digest=sha256:843fa521257ca964d257c6444bfd9265d1264be80d8b49347df0f3abe9fbd6d9

Observation 7a150790-4be7-40b2-90a6-aa7f6dcdf531 · outbound

This paper cites an unresolved cited work.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Unresolved cited work

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.583659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.583659Z digest=sha256:463e55ca8116053bfede7f0714eece29d5887a212a3186bcd419cbe8d5b1ec59

Observation 5f452ebd-c15f-41cf-b4b9-c2fa10751756 · outbound

This paper cites an unresolved cited work.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Unresolved cited work

Reference 5903

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.769401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.769401Z digest=sha256:8ac25c12147686ee16f4626501d96f20dacae16f4f005c99a5caaa678ea08e0a

Pith citing papers

No inbound Pith citation observations are available.