Differences between informational and transactional tasks in information seeking on the web

Terai, Hitoshi; Saito, Hitomi; Egusa, Yuka; Takaku, Masao; Miwa, Makiko; Kando, Noriko

doi:10.1145/1414694.1414728

Cited by 25 publications

(15 citation statements)

References 15 publications

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“…The eye tracking data showed that there was a decreased probability of looking at results in the low position, explaining the poor performance. Terai et al (2008) studied informational and transactional tasks. They found that participants visited more web pages when performing the transactional task, but with shorter page dwell time as compared to the informational task.…”

Section: Eye Tracking Use To Investigate Web Search Behaviorsmentioning

confidence: 99%

Task and user effects on reading patterns in information search

Cole

Gwizdka

Liu

et al. 2011

Interacting with Computers

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a b s t r a c tWe report on an investigation into people's behaviors on information search tasks, specifically the relation between eye movement patterns and task characteristics. We conducted two independent user studies (n = 32 and n = 40), one with journalism tasks and the other with genomics tasks. The tasks were constructed to represent information needs of these two different users groups and to vary in several dimensions according to a task classification scheme. For each participant we classified eye gaze data to construct models of their reading patterns. The reading models were analyzed with respect to the effect of task types and Web page types on reading eye movement patterns. We report on relationships between tasks and individual reading behaviors at the task and page level. Specifically we show that transitions between scanning and reading behavior in eye movement patterns and the amount of text processed may be an implicit indicator of the current task type facets. This may be useful in building user and task models that can be useful in personalization of information systems and so address design demands driven by increasingly complex user actions with information systems. One of the contributions of this research is a new methodology to model information search behavior and investigate information acquisition and cognitive processing in interactive information tasks.

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Section: Eye Tracking Use To Investigate Web Search Behaviorsmentioning

confidence: 99%

Task and user effects on reading patterns in information search

Cole

Gwizdka

Liu

et al. 2011

Interacting with Computers

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show abstract

“…y analizan si el grado de experiencia del usuario con un determinado buscador influye en su comportamiento en la SERP cuando se trata de tareas con intención informacional. Terai et al (2008) estudian las diferencias entre consultas de tipo informacional y transaccional. Se centran en la secuencia de navegación del usuario en la SERP pero no llegan al detalle de las áreas de interés evaluadas ni profundizan en el comportamiento frente a los enlaces patrocinados, tan importantes en las búsquedas con intención transaccional.…”

Section: Trabajos Previosunclassified

Comportamiento de los usuarios en la página de resultados de los buscadores. Un estudio basado en <i>eye tracking</i>

Marcos¹,

González-Caro²

2010

El Profesional de la Informacion

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“…and Google search engines. Eye movements during different types of information retrieval activities have been investigated by looking at SERP interactions during informational and navigational tasks (Terai et al, 2008), different task types , information use (Cutrell & Guan, 2007), the effects of search page ranks on subsequent actions (Guan & Cutrell, 2007), and the usefulness of social navigation clues to users performing web searches (Loboda et al, 2011).…”

Section: Eye Movements In Searchmentioning

confidence: 99%

Inferring user knowledge level from eye movement patterns

Cole

Gwizdka

Liu

et al. 2013

Information Processing & Management

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The acquisition of information and the search interaction process is influenced strongly by a person's use of their knowledge of the domain and the task. In this paper we show that a user's level of domain knowledge can be inferred from their interactive search behaviors without considering the content of queries or documents. A technique is presented to model a user's information acquisition process during search using only measurements of eye movement patterns. In a user study (n=40) of search in the domain of genomics, a representation of the participant's domain knowledge was constructed using self-ratings of knowledge of genomics-related terms (n=409). Cognitive effort features associated with reading eye movement patterns were calculated for each reading instance during the search tasks. The results show correlations between the cognitive effort due to reading and an individual's level of domain knowledge. We construct exploratory regression models that suggest it is possible to build models that can make predictions of the user's level of knowledge based on real-time measurements of eye movement patterns during a task session.

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Differences between informational and transactional tasks in information seeking on the web

Cited by 25 publications

References 15 publications

Task and user effects on reading patterns in information search

Task and user effects on reading patterns in information search

Comportamiento de los usuarios en la página de resultados de los buscadores. Un estudio basado en <i>eye tracking</i>

Inferring user knowledge level from eye movement patterns

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