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Comparison of Crowdsourced and Remote Subjective User Studies: A Case Study of Investigative Child Interviews.

, , , , , , , , and . QoMEX, page 1-6. IEEE, (2022)

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Human vs. GPT-3: The challenges of extracting emotions from child responses., , , , and . QoMEX, page 1-4. IEEE, (2022)Towards an AI-driven talking avatar in virtual reality for investigative interviews of children., , , , , , , , , and 1 other author(s). GameSys@MMSys, page 9-15. ACM, (2022)Comparison of Crowdsourced and Remote Subjective User Studies: A Case Study of Investigative Child Interviews., , , , , , , , and . QoMEX, page 1-6. IEEE, (2022)Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case., , , and . CoRR, (2020)A Comparative Study of Interactive Environments for Investigative Interview of A Virtual Child Avatar., , , , , , , , and . ISM, page 194-201. IEEE, (2022)Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children., , , , , , and . ICDAR@ICMR, page 41-49. ACM, (2022)AG-GAN: An Attentive Group-Aware GAN for pedestrian trajectory prediction., , , and . ICPR, page 8703-8710. IEEE, (2020)Immersive Virtual Reality in Child Interview Skills Training: A Comparison of 2D and 3D Environments., , , , , , , , , and 1 other author(s). MMVE@MMSys, page 1-7. ACM, (2024)Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset, , , , , , , , , and 1 other author(s). (2021)cite arxiv:2103.01196Comment: 11 pages, 6 figures.A Virtual Reality Talking Avatar for Investigative Interviews of Maltreat Children., , , , , , and . CBMI, page 201-204. ACM, (2022)