Touch technology in affective human–, robot–, and virtual–human interactions: A survey
Given the importance of affective touch in human interactions, technology designers are
increasingly attempting to bring this modality to the core of interactive technology. Advances …
increasingly attempting to bring this modality to the core of interactive technology. Advances …
Predicting user satisfaction with intelligent assistants
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 …
mobile devices, such as Microsoft's Cortana, Google Now, and Apple's Siri. They …
Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges
Intention mining is a promising research area of data mining that aims to determine end-
users' intentions from their past activities stored in the logs, which note users' interaction with …
users' intentions from their past activities stored in the logs, which note users' interaction with …
Online evaluation for information retrieval
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 …
information retrieval system. It involves fielding the information retrieval system to real users …
Towards better measurement of attention and satisfaction in mobile search
Web Search has seen two big changes recently: rapid growth in mobile search traffic, and
an increasing trend towards providing answer-like results for relatively simple information …
an increasing trend towards providing answer-like results for relatively simple information …
Jointly leveraging intent and interaction signals to predict user satisfaction with slate recommendations
Detecting and understanding implicit measures of user satisfaction are essential for
enhancing recommendation quality. When users interact with a recommendation system …
enhancing recommendation quality. When users interact with a recommendation system …
An f-shape click model for information retrieval on multi-block mobile pages
Most click models focus on user behaviors towards a single list. However, with the
development of user interface (UI) design, the layout of displayed items on a result page …
development of user interface (UI) design, the layout of displayed items on a result page …
From queries to cards: Re-ranking proactive card recommendations based on reactive search history
The growing accessibility of mobile devices has substantially reformed the way users access
information. While the reactive search by query remains as common as before, recent years …
information. While the reactive search by query remains as common as before, recent years …
Constructing click models for mobile search
Users' click-through behavior is considered as a valuable yet noisy source of implicit
relevance feedback for web search engines. A series of click models have therefore been …
relevance feedback for web search engines. A series of click models have therefore been …
Detecting good abandonment in mobile search
Web search queries for which there are no clicks are referred to as abandoned queries and
are usually considered as leading to user dissatisfaction. However, there are many cases …
are usually considered as leading to user dissatisfaction. However, there are many cases …