Predicting user satisfaction with intelligent assistants

J Kiseleva, K Williams, A Hassan Awadallah… - Proceedings of the 39th …, 2016 - dl.acm.org
There is a rapid growth in the use of voice-controlled intelligent personal assistants on
mobile devices, such as Microsoft's Cortana, Google Now, and Apple's Siri. They …

Online evaluation for information retrieval

K Hofmann, L Li, F Radlinski - Foundations and Trends® in …, 2016 - nowpublishers.com
Online evaluation is one of the most common approaches to measure the effectiveness of an
information retrieval system. It involves fielding the information retrieval system to real users …

User intent, behaviour, and perceived satisfaction in product search

N Su, J He, Y Liu, M Zhang, S Ma - … Conference on Web Search and Data …, 2018 - dl.acm.org
As online shop** becomes increasingly popular, users perform more product search to
purchase items. Previous studies have investigated people's online shop** behaviours …

Featured snippets and their influence on users' credibility judgements

M Bink, S Zimmerman, D Elsweiler - … of the 2022 Conference on Human …, 2022 - dl.acm.org
Search engines often provide featured snippets, which are boxed and placed above other
results with the aim of directly answering user queries. To learn about how users judge the …

Measuring user satisfaction on smart speaker intelligent assistants using intent sensitive query embeddings

SH Hashemi, K Williams, A El Kholy, I Zitouni… - Proceedings of the 27th …, 2018 - dl.acm.org
Intelligent assistants are increasingly being used on smart speaker devices, such as
Amazon Echo, Google Home, Apple Homepod, and Harmon Kardon Invoke with Cortana …

Does visual attention help? Towards better understanding and predicting users' good abandonment behavior in mobile search

D Wu, S Zhang - Library Hi Tech, 2024 - emerald.com
Purpose Good abandonment behavior refers to users obtaining direct answers via search
engine results pages (SERPs) without clicking any search result, which occurs commonly in …

Jointly leveraging intent and interaction signals to predict user satisfaction with slate recommendations

R Mehrotra, M Lalmas, D Kenney, T Lim-Meng… - The World Wide Web …, 2019 - dl.acm.org
Detecting and understanding implicit measures of user satisfaction are essential for
enhancing recommendation quality. When users interact with a recommendation system …

The characteristics of voice search: Comparing spoken with typed-in mobile web search queries

I Guy - ACM Transactions on Information Systems (TOIS), 2018 - dl.acm.org
The growing popularity of mobile search and the advancement in voice recognition
technologies have opened the door for web search users to speak their queries rather than …

Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals

Z Ye, X **e, Y Liu, Z Wang, X Li, J Li, X Chen… - Proceedings of the 45th …, 2022 - dl.acm.org
Web search heavily relies on click-through behavior as an essential feedback signal for
performance evaluation and improvement. Traditionally, click is usually treated as a positive …

Assessing and verifying task utility in llm-powered applications

N Arabzadeh, S Huo, N Mehta, Q Wu, C Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid development of Large Language Models (LLMs) has led to a surge in applications
that facilitate collaboration among multiple agents, assisting humans in their daily tasks …