Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 | Paper Citation Record

Observation 8b3035ba-391e-4164-988b-5fdfbc345902 · outbound

This paper cites Using ChatGPT -4 for the identification of common ux factors within a pool of measurement items from established ux questionnaires,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Using ChatGPT -4 for the identification of common ux factors within a pool of measurement items from established ux questionnaires,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:53:00.283107Z

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Observation 00fdf1d9-f208-4f64-a7e9-2c1dbc9847ff · outbound

This paper cites an unresolved cited work.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:53:00.265162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3c2bc800-e79f-4f57-acdf-f983b3f24b03 · outbound

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,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Efficient measurement of the user expe - rience of interactive products. how to use the user experience questionnaire (ueq).example: Spanish language version,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:53:00.242620Z

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Observation bc88d16f-f85c-49da-9f36-4297cbe9228d · outbound

This paper cites an unresolved cited work.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:53:00.222528Z

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Observation 95bc4686-4756-4752-8c31-0579bf5c9de1 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Standardized usability questionnaires: Features and quality focus,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:53:00.201455Z

Source-reported events for the cited work

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Observation 57c2007b-bd30-4e1d-b53f-7bc5777e6f68 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Applicability of user experience and usability questionnaires,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:53:00.178644Z

Source-reported events for the cited work

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Observation 1c7f118f-e783-4ebc-bb4a-a684a6d8bf8c · outbound

This paper cites A review of post-study and post- task subjective questionnaires to guide assessment of system usability,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 A review of post-study and post- task subjective questionnaires to guide assessment of system usability,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:53:00.150533Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c3166730-e57f-4189-8761-05ead2a0a90c · 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.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Schrepp, User Experience Questionnaires: How to use questionnaires to measure the user experience of your prod - ucts? KDP, ISBN-13: 979-8736459766, 2021

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:53:00.120608Z

Source-reported events for the cited work

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Observation cff92918-eabe-4ae1-b62c-88d7cfc4cfa2 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 A comparison of UX questionnaires - what is their underlying concept of user experience?

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:53:00.091114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ecd97144-03d8-4984-87ce-2e63ba9925d8 · outbound

This paper cites From usability to user experience,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 From usability to user experience,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.759183Z

Source-reported events for the cited work

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Observation b9bee1ac-ebc1-4437-b457-875663edaba9 · outbound

This paper cites Preece, Y.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Preece, Y

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:53:00.067592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6da10b8d-6bea-4f68-8898-6be4fc599466 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 The thing and I: Understanding the relation - ship between user and product,

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-12T16:52:58.768852Z

Source-reported events for the cited work

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Observation 66e50681-915c-4fc2-807d-b41bcc71a4ba · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 On the importance of UX quality aspects for different product categories,

Reference 13

Resolution: verified exact; doi, observed 2026-08-12T16:52:59.090788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3b9305d2-5ab5-4472-956b-f1cfe54baf3e · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Distributed Representations of Words and Phrases and their Compositionality

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.777584Z

Source-reported events for the cited work

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Observation 23d992f3-a481-4413-bff7-9eafbf1df179 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Siamese CBOW: Optimizing Word Embeddings for Sentence Representations

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:52:59.284399Z

Source-reported events for the cited work

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Observation 7aa637dc-8e6c-4828-880b-6db0bd19ade9 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.786925Z

Source-reported events for the cited work

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Observation 1b536eb5-714a-4ed0-9fc7-b769b4b57e18 · outbound

This paper cites Sentence similarity based on semantic nets and corpus statis - tics,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Sentence similarity based on semantic nets and corpus statis - tics,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:53:00.028790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 61a20e24-2e5e-449a-adcd-572eb2e02060 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 A statistical approach to mechanized encoding and searching of literary information,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.995552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5916bed1-057a-4303-9558-2fc5bf51a54b · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 A statistical interpretation of term specificity and its application in retrieval,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.979438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ff231052-71f4-4755-80bc-cc894a3e8a4d · outbound

This paper cites Okapi at trec-3,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Okapi at trec-3,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.964187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 393a54e2-d6f6-4084-9a76-6e134c5f692c · outbound

This paper cites Indexing by latent semantic analysis,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Indexing by latent semantic analysis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.947737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c8c5550-3573-48cd-8764-09ca1b34bcb3 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Distributed representations of sen - tences and documents,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.931442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3f0527d-3463-444a-9014-2f737c100d29 · outbound

This paper cites Sentence -BERT: Sentence em - beddings using siamese BERT -networks,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Sentence -BERT: Sentence em - beddings using siamese BERT -networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.916450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 54b5a0df-f552-46bb-a326-823150a4ed2c · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.823732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4675b39-e5b3-46a7-820a-4ef9e4e993ec · outbound

This paper cites Sentence similarity based on contexts,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Sentence similarity based on contexts,

Reference 25

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T16:52:59.901287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 02e7562f-a2ce-4846-aa37-57db90adcd29 · outbound

This paper cites Empirical simi - larity,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Empirical simi - larity,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.886804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b1440131-99aa-4d9d-96db-565b528a8616 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 What causes the dependency between perceived aesthetics and perceived usability?,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.872046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cea4091f-9aaf-4a55-9661-07979558c840 · outbound

This paper cites Apparent usability vs. inherent usability, chi’95 conference companion,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Apparent usability vs. inherent usability, chi’95 conference companion,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.854943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 60bdf237-d59b-4c3e-85bc-5dca1b0709ae · outbound

This paper cites Aesthetics and apparent usability: Empirically assessing cultural and methodological issues,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Aesthetics and apparent usability: Empirically assessing cultural and methodological issues,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.838964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f321414d-bf63-425f-aed3-3f1f26c5cc6c · outbound

This paper cites Cognitive processes causing the relationship between aesthetics and usability,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Cognitive processes causing the relationship between aesthetics and usability,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.824018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7a1f5044-780a-40e4-bc9b-0e87a62e5d05 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 The role of visual complexity and prototypi - cality regarding first impression of websites: Working towards understanding aesthetic judgments,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.807776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 569f7fde-420a-4bc2-8c4a-ec5f51b21643 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 A test of the context dependency of three causal models of halo rater error.,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.791928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3649cd4-b7e2-4dae-b2e7-98de15dd0062 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Inferential beliefs in con- sumer evaluations: An assessment of alternative processing strategies,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.776165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 654856f3-5827-4088-bcb4-e8286a7a6490 · outbound

This paper cites an unresolved cited work.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:52:59.760641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 608f095f-7dfd-431e-9e22-c272da68fc5c · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Formalising guidelines for the design of screen layouts,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.745286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e2be4176-1b15-4db7-92f9-a3378d00b62f · outbound

This paper cites A method of quantifying order in typographic design,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 A method of quantifying order in typographic design,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.729482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd97fea8-d86d-4928-8957-1200a1bab26a · outbound

This paper cites Facets of visual aesthetics.,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Facets of visual aesthetics.,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.713728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b4a3d23f-aed2-4a84-ab61-e103a1966a85 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Stan - dardized questionnaires for user experience evaluation: A systematic literature review,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.893985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e89ae51-41fc-46ed-aeca-acea6cea9e7b · outbound

This paper cites Construction and evaluation of a user experience questionnaire,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Construction and evaluation of a user experience questionnaire,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.698023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2234d1d0-9353-4d6f-8c7e-de498d3a2d8a · outbound

This paper cites UEQ User Experience Questionnaire,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 UEQ User Experience Questionnaire,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.681425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 633bb819-d6f3-4ed7-a022-4a7d285c5728 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 A proposed index of usability: A method for comparing the relative usability of different software systems,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.666007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32bf2410-7003-4781-a4a5-b74547a40669 · outbound

This paper cites Sus: A “quick and dirty’usability,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Sus: A “quick and dirty’usability,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.649938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a56fd03c-6295-4a2b-abfa-79def0a30a20 · outbound

This paper cites The isomet- rics usability inventory: An operationalization of iso 9241- 10 supporting summative and formative evaluation of software systems,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 The isomet- rics usability inventory: An operationalization of iso 9241- 10 supporting summative and formative evaluation of software systems,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.633595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 873609a9-aa4f-41f6-aa9d-8ca90c21b685 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Design and validation of a framework for the creation of user experience questionnaires,

Reference 44

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T16:52:59.616549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0fa0415e-f1d5-4f0c-afad-b21de4c1791a · outbound

This paper cites UEQ+ a modular exten - sion of the user experience questionnaire,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 UEQ+ a modular exten - sion of the user experience questionnaire,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.600598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33246463-1abd-4916-9589-32cb845d3871 · outbound

This paper cites Faktoren der User Experience: Systematische U ¨ bersicht u¨ber produk- trelevante UX-Qualita¨tsaspekte,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Faktoren der User Experience: Systematische U ¨ bersicht u¨ber produk- trelevante UX-Qualita¨tsaspekte,

Reference 46

Resolution: verified exact; doi, observed 2026-08-12T16:52:59.063158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 01deae71-ad15-4026-a0f9-dadefeb70a3c · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Quantifying user experience through self-reporting questionnaires: A systematic analysis of the sentence similarity between the items of the measurement ap - proaches,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.584936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2158d82d-5b23-4c1a-b3eb-aded0a44b12b · 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,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Applying augmented sbert and bertopic in ux research: A sentence similarity and topic model- ing approach to analyzing items from multiple questionnaires,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.569460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a1a5ffcf-e330-4c14-b5f5-3132431744c8 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.950946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 089af130-8543-4f24-b287-32d885412108 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.956016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a97da50b-7bbe-4643-80de-d4054f23e739 · outbound

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

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 The power of generative ai: A review of requirements, models, inputndash;output formats, evaluation metrics, and challenges,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.554679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b769c48b-d155-401a-896e-28aa108011da · outbound

This paper cites GPT-4 Technical Report.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 GPT-4 Technical Report

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.972954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c0e6c97-c810-4093-934c-9b77ea03f644 · outbound

This paper cites Large Language Models: A Survey.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Large Language Models: A Survey

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.977635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cdf365a-5045-47a2-a749-f8b98814a9f8 · outbound

This paper cites Language Models are Few-Shot Learners.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Language Models are Few-Shot Learners

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.983199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db48c64b-1d7d-45d5-bc64-4616fd90420a · outbound

This paper cites Training language models to follow instructions with human feedback.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Training language models to follow instructions with human feedback

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.987898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b10eb1c7-2cd4-4093-8fb9-bbba277a8988 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.992983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9acdac82-e70e-436f-8832-ac8c45c8d828 · outbound

This paper cites A survey on evaluation of large language models,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 A survey on evaluation of large language models,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.528487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0cf37a57-71ba-4d71-9ed6-a332265b0f79 · outbound

This paper cites Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:59.004283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac54ed4-f4a9-4d18-a8e3-ad7d820e886a · outbound

This paper cites UX Fragebo¨gen und Wort- wolken,.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 UX Fragebo¨gen und Wort- wolken,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:52:59.510947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dbe4299b-0d90-49b8-b983-3821c2d4d60a · outbound

This paper cites an unresolved cited work.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Unresolved cited work

Reference 2020

Resolution: verified exact; doi, observed 2026-08-12T16:52:59.116659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3846fffd-989d-4fb9-ab65-0d0c181ec190 · outbound

This paper cites an unresolved cited work.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 Unresolved cited work

Reference 5903

Resolution: unresolved; no resolver link, observed 2026-08-12T16:52:58.966937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

Outbound references

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