LISP -- A Rich Interaction Dataset and Loggable Interactive Search Platform
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866911376089284608 |
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| author | Friese, Jana Isabelle Kruff, Andreas Konstantin Schaer, Philipp Fuhr, Norbert Ferro, Nicola |
| author_facet | Friese, Jana Isabelle Kruff, Andreas Konstantin Schaer, Philipp Fuhr, Norbert Ferro, Nicola |
| contents | We present a reusable dataset and accompanying infrastructure for studying human search behavior in Interactive Information Retrieval (IIR). The dataset combines detailed interaction logs from 61 participants (122 sessions) with user characteristics, including perceptual speed, topic-specific interest, search expertise, and demographic information. To facilitate reproducibility and reuse, we provide a fully documented study setup, a web-based perceptual speed test, and a framework for conducting similar user studies. Our work allows researchers to investigate individual and contextual factors affecting search behavior, and to develop or validate user simulators that account for such variability. We illustrate the datasets potential through an illustrative analysis and release all resources as open-access, supporting reproducible research and resource sharing in the IIR community. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_09366 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | LISP -- A Rich Interaction Dataset and Loggable Interactive Search Platform Friese, Jana Isabelle Kruff, Andreas Konstantin Schaer, Philipp Fuhr, Norbert Ferro, Nicola Information Retrieval We present a reusable dataset and accompanying infrastructure for studying human search behavior in Interactive Information Retrieval (IIR). The dataset combines detailed interaction logs from 61 participants (122 sessions) with user characteristics, including perceptual speed, topic-specific interest, search expertise, and demographic information. To facilitate reproducibility and reuse, we provide a fully documented study setup, a web-based perceptual speed test, and a framework for conducting similar user studies. Our work allows researchers to investigate individual and contextual factors affecting search behavior, and to develop or validate user simulators that account for such variability. We illustrate the datasets potential through an illustrative analysis and release all resources as open-access, supporting reproducible research and resource sharing in the IIR community. |
| title | LISP -- A Rich Interaction Dataset and Loggable Interactive Search Platform |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2601.09366 |