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pro vyhledávání: '"Scholer, Falk"'
Voice-based systems like Amazon Alexa, Google Assistant, and Apple Siri, along with the growing popularity of OpenAI's ChatGPT and Microsoft's Copilot, serve diverse populations, including visually impaired and low-literacy communities. This reflects
Externí odkaz:
http://arxiv.org/abs/2409.00890
Autor:
Ji, Kaixin, Cherumanal, Sachin Pathiyan, Trippas, Johanne R., Hettiachchi, Danula, Salim, Flora D., Scholer, Falk, Spina, Damiano
Instruments such as eye-tracking devices have contributed to understanding how users interact with screen-based search engines. However, user-system interactions in audio-only channels -- as is the case for Spoken Conversational Search (SCS) -- are h
Externí odkaz:
http://arxiv.org/abs/2405.12480
Publikováno v:
In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024, Washington, DC, USA. ACM, New York, NY, USA, 12 pages
Information access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly drawn from qualitative methods, such as observational studies or surveys. Leveraging the advances in sensing technol
Externí odkaz:
http://arxiv.org/abs/2405.00322
The effectiveness of clarification question models in engaging users within search systems is currently constrained, casting doubt on their overall usefulness. To improve the performance of these models, it is crucial to employ assessment approaches
Externí odkaz:
http://arxiv.org/abs/2403.09180
Autor:
Trisedya, Bayu Distiawan, Salim, Flora D, Chan, Jeffrey, Spina, Damiano, Scholer, Falk, Sanderson, Mark
Knowledge graphs (KGs) are becoming essential resources for many downstream applications. However, their incompleteness may limit their potential. Thus, continuous curation is needed to mitigate this problem. One of the strategies to address this pro
Externí odkaz:
http://arxiv.org/abs/2308.13755
Autor:
Hettiachchi, Danula, Ji, Kaixin, Kennedy, Jenny, McCosker, Anthony, Salim, Flora D., Sanderson, Mark, Scholer, Falk, Spina, Damiano
With the rapid growth of online misinformation, it is crucial to have reliable fact-checking methods. Recent research on finding check-worthy claims and automated fact-checking have made significant advancements. However, limited guidance exists rega
Externí odkaz:
http://arxiv.org/abs/2308.10220
Physiological signals can potentially be applied as objective measures to understand the behavior and engagement of users interacting with information access systems. However, the signals are highly sensitive, and many controls are required in labora
Externí odkaz:
http://arxiv.org/abs/2304.13488
Autor:
Khaokaew, Yonchanok, Holcombe-James, Indigo, Rahaman, Mohammad Saiedur, Liono, Jonathan, Trippas, Johanne R., Spina, Damiano, Belkin, Nicholas, Bailey, Peter, Bennett, Paul N., Ren, Yongli, Sanderson, Mark, Scholer, Falk, White, Ryen W., Salim, Flora D.
Digital Assistants (DAs) can support workers in the workplace and beyond. However, target user needs are not fully understood, and the functions that workers would ideally want a DA to support require further study. A richer understanding of worker n
Externí odkaz:
http://arxiv.org/abs/2208.03443
Asking clarification questions is an active area of research; however, resources for training and evaluating search clarification methods are not sufficient. To address this issue, we describe MIMICS-Duo, a new freely available dataset of 306 search
Externí odkaz:
http://arxiv.org/abs/2206.04417
Existing commercial search engines often struggle to represent different perspectives of a search query. Argument retrieval systems address this limitation of search engines and provide both positive (PRO) and negative (CON) perspectives about a user
Externí odkaz:
http://arxiv.org/abs/2108.10442