“Understanding Mobile Search Task Relevance and User Behaviour in Context” to appear in #CHIIR2019
• Perpeint: http://bit.ly/2ScBVG8
• Source code of the app used to collect data, called Omicron: http://bit.ly/2S4VZKE
Improvements in mobile technologies have led to a dramatic change in how and when people access and use information, and is having a profound impact on how users address their daily information needs. Smart phones are rapidly becoming our main method of accessing information and are frequently used to perform `on-the-go' search tasks. As research into information retrieval continues to evolve, evaluating search behaviour in context is relatively new. Previous research has studied the effects of context through either self-reported diary studies or quantitative log analysis; however, neither approach is able to accurately capture context of use at the time of searching. In this study, we aim to gain a better understanding of task relevance and search behaviour via a task-based user study (n=31) employing a bespoke Android app. The app allowed us to accurately capture the user's context when completing tasks at different times of the day over the period of a week. Through analysis of the collected data, we gain a better understanding of how using smart phones on the go impacts search behaviour, search performance and task relevance and whether or not the actual context is an important factor.
“Understanding Mobile Search Task Relevance and User Behaviour in Context” to appear in #CHIIR2019
• Perpeint: http://bit.ly/2ScBVG8
• Source code of the app used to collect data, called Omicron: http://bit.ly/2S4VZKE
Improvements in mobile technologies have led to a dramatic change in how and when people access and use information, and is having a profound impact on how users address their daily information needs. Smart phones are rapidly becoming our main method of accessing information and are frequently used to perform `on-the-go' search tasks. As research into information retrieval continues to evolve, evaluating search behaviour in context is relatively new. Previous research has studied the effects of context through either self-reported diary studies or quantitative log analysis; however, neither approach is able to accurately capture context of use at the time of searching. In this study, we aim to gain a better understanding of task relevance and search behaviour via a task-based user study (n=31) employing a bespoke Android app. The app allowed us to accurately capture the user's context when completing tasks at different times of the day over the period of a week. Through analysis of the collected data, we gain a better understanding of how using smart phones on the go impacts search behaviour, search performance and task relevance and whether or not the actual context is an important factor.
"In Situ and Context-Aware Target Apps Selection for Unified Mobile Search" to appear at #CIKM2018; with Zamanii, Crestani, and Croft.
Preprint: bit.ly/2Nzi1Sz
ISTAS data collection: bit.ly/ISTASpage
uSearch Android app code: bit.ly/uSearchOnGitHub
#ff #FollowFriday: More Information Retrieval researchers joined the fediverse lately:
@rosswilkinson (structured search,)
@bmitra (neural IR)
@aliannejadi (mobile IR, contextual suggestion)
@Claudia (search as learning,)
@AndrewTrotman (efficiency, ATIRE)
@wesselkraaij (language models, TRECVid)
@TomKenter (word embeddings)
@alansaid (recommender sys)
@fthopf (lifelogging)
@joemon (social media analytics, multimodal interaction)
@[email protected] (IR and knowledge graphs)
@jik (once text genres, Gavagai)