Head- and eye-based pointing outperform hand-based methods for AR 2D selection across depths, with head remaining most accurate and consistent.
Saffat and Tarin, Ishika and Nurain, Novia and Islam, A
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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LLMs achieve Pearson correlations up to 0.97 and 94% classification accuracy on product desirability sentiment from qualitative data, outperforming lexicon and transformer baselines while providing confidence ratings and rationales.
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Comparing Controller-Free Pointing Techniques Across Depth for 2D Selection in Augmented Reality
Head- and eye-based pointing outperform hand-based methods for AR 2D selection across depths, with head remaining most accurate and consistent.
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Evaluating LLM Usage for Efficient and Explainable Numerical and Classified Implicit Sentiment Analysis of Product Desirability
LLMs achieve Pearson correlations up to 0.97 and 94% classification accuracy on product desirability sentiment from qualitative data, outperforming lexicon and transformer baselines while providing confidence ratings and rationales.