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The purpose of this paper is to investigate the predictive factors of information seeking behavior of smartphone users from the cross-generational perspective. Based on existing literature, the two most popular types of information seeking behavior of smartphone users were determined: social information seeking behavior; and functional/cognitive information seeking behavior.

A questionnaire comprising 66 questions was administered online to 216 smartphone users of three age groups according to three generations: generation X, Y (millennials) and Z. Several predictive factors were examined for each of these information seeking behavior types: generation, gender, personality traits (the Big Five), daily usage time, period of ownership, various application utilization and the level of emotional gain from smartphones.

There is a trade-off between the two types of information seeking behavior. Also, men exhibited significantly more functional/cognitive information seeking behavior than women, and younger generations reported significantly higher emotional gain and social information seeking behavior than older generations. Interestingly, significant differences in smartphone apps’ utilization, information seeking behavior types and their predictive factors were found among users from different generations. Extraversion was positively related to social information seeking behavior only for generations X and Y, while WhatsApp usage was one of the strongest predictive factors only for generation Z.

This research has practical implications for information system design, education, e-commerce and libraries.

This is a first study that systematically examines predictive factors of the two prominent types of information seeking behavior on smartphones from the cross-generational perspective.

The purpose of this paper is to elaborate the conceptual picture of the relationships between the affective and cognitive factors in information seeking and use.

Conceptual analysis focusing on the ways in which the affective and cognitive factors and their interplay are approached in the Information Search Process model developed by Carol Kuhlthau, and the Social-Biological Information Technology model elaborated by Diane Nahl.

Kuhlthau’s model approaches the cognitive factors (thoughts) and affective factors (feelings) and affective-cognitive factors (mood) as integral constituents of the six-stage information search process. Thoughts determine the valence of feelings (positive or negative), while mood opens or closes the range of possibilities in a search. Nahl’s taxonomic model defines the affective and cognitive factors as components of a biologically determined process serving the ends of adaptation to information ecology. The interplay of the above factors is conceptualized by focusing on their mutual roles in the cognitive and affective appraisal of information.

The findings are based on the comparison of two models only.

So far, information scientists have largely ignored the study of the interplay between affective and cognitive factors in information seeking and use. The findings indicate that the examination of these factors together rather than separately holds a good potential to elaborate the holistic picture of information seeking and use.

The purpose of this paper is to investigate the effects of cognitive style on navigating a large digital library of cultural heritage information; specifically, the paper focus on the wholist/analytic dimension as experienced in the field of educational informatics. The hypothesis is that wholist and analytic users have characteristically different approaches when they explore, search and interact with digital libraries, which may have implications for system design.

A detailed interactive IR evaluation of a large cultural heritage digital library was undertaken, along with the Riding CSA test. Participants carried out a range of information tasks, and the authors analysed their task performance, interactions and attitudes.

The hypothesis on the differences in performance and behaviour between wholist and analytic users is supported. However, the authors also find that user attitudes towards the system are opposite to expectations and that users give positive feedback for functionality that supports activities in which they are cognitively weaker.

There is scope for testing results in a larger scale study, and/or with different systems. In particular, the findings on user attitudes warrant further investigation.

Findings on user attitudes suggest that systems which support areas of weakness in users’ cognitive abilities are valued, indicating an opportunity to offer diverse functionality to support different cognitive weaknesses.

A model is proposed suggesting a converse relationship between behaviour and attitudes; to support individual users displaying search/navigation behaviour mapped onto the strengths of their cognitive style, but placing greater value on interface features that support aspects in which they are weaker.

During multitasking, humans handle multiple tasks through task switching or engage in multitasking information behaviors. For example, a user switches between seeking new kitchen information and medical information. Recent studies provide insights these complex multitasking human information behaviors (HIB). However, limited studies have examined the interplay between information and non‐information tasks.

The goal of the paper was to examine the interplay of information and non‐information task behaviors.

This paper explores and speculates on a new direction in HIB research. The nature of HIB as a multitasking activity including the interplay of information and non‐information behavior tasks, and the relation between multitasking information behavior to cognitive style and individual differences, is discussed. A model of multitasking between information and non‐information behavior tasks is proposed.

Multitasking information behavior models should include the interplay of information and non‐information tasks, and individual differences and cognitive styles.

The paper is the first information science theoretical examination of the interplay between information and non‐information tasks.

This study investigated the design of three online public library catalogs in light of the cognitive ability and success of children ages five to eight.

A quasi-experimental approach was employed to examine the influence of system design on children’s searching strategies and search success. Interviews were used to explore children’s rationale for using icons and taxonomies in the catalogs. Fifty one children from one public library participated in this study. Inferential statistics were utilized to whether significant differences existed between use of the catalogs and the children’s success in finding information.

Use of images and text were helpful in searching the catalogs. Results of the ANOVA test indicated no significant difference among children’s searching success rates and the three catalogs. Additionally, the participants misidentified representations used in icons in all three catalogs and created valid search paths that did not produce results. There was a disconnect between the children’s cognitive abilities and the design representations of the three catalogs.

The study took place in one location, thus one should not overgeneralize the findings. Use of assigned tasks may have affected children’s success rates. Children’s searching using printed cards of display screens from the three catalogs instead of real-time interaction with them is also a limitation.

Because of the children’s reliance on images, the choice of visual representations is crucial to successful searching. Interface designers should involve young users in the design of today’s online catalogs. They should also consider new forms of representations such as auditory icons, verbal mouse overs, and zooms.

In addition to addressing the need for research on young children’s information seeking and use of online catalogs in public libraries, this research focuses on the need for an additional layer of visual representation and highlights flaws in currently used catalog designs.

In vol. 6, 1976, of Advances in Librarianship, I published a review about relevance under the same title, without, of course, “Part I” in the title (Saracevic, 1976). [A substantively similar article was published in the Journal of the American Society for Information Science (Saracevic, 1975)]. I did not plan then to have another related review 30 years later—but things happen. The 1976 work “attempted to trace the evolution of thinking on relevance, a key notion in information science, [and] to provide a framework within which the widely dissonant ideas on relevance might be interpreted and related to one another” (ibid.: 338).

Most of the research on collaborative consumption platforms (CCPs) has focused on motivational drives, and little research has been conducted on the problem of unbalanced information sharing, also known as the “lemons problem,” and signals. The paper aims to discuss these issues.

This study conducted a netnography and an experiment.

The netnographic study showed that participants tend to use low ratings and negative reviews as cues implying more searches, use ratings as an anchor to adjust other information, and employ differing cognitive information-processing styles. The experimental results show that, in a normal environment (when ratings are high), visualizers (verbalizers) have more of an intention to use CCPs when they are exposed to abundant pictures (textual cues); however, when the cues lead to a further information search (when the ratings are low), this search behavior pattern is reversed: visualizers (verbalizers) have more of an intention to use CCPs when they are exposed to abundant textual cues (pictures).

This study extends previous research by showing that people frequently use differing heuristics depending on the context; that ratings have an anchoring effect and guide people in selecting a signal to use and condition how they use it; and that visualizers prefer text cues to pictorial cues when trying to make informed decisions under a condition that points to a further information search. These results are opposite of previous assertion.

Marketers are advised to provide a mechanism by which users can extract the cues they need and reduce the less urgent ones; devise a mechanism that screens participants and divides them into two categories: those who post honest evaluations and those who do not; and reduce the opportunistic behaviors of partners on both sides.

The current study addresses consumers’ use of information posted by other consumers on CCPs and demonstrates that participants use low ratings and negative reviews as cues implying more searches, use ratings as an anchor to adjust other information, and employ differing cognitive information-processing styles. Previous research rarely addressed these information search behaviors of consumers on CCPs.

The purpose of this paper is to explore effects of individuals' social context on their perception of a task, for better understanding of social aspects of task-based information seeking behavior.

This study took a qualitative case approach and conducted semi-structured one-on-one interviews with 12 participants. A cross-context comparative approach was chosen to identify effects of the social contexts on individuals. For comparative analysis, the research population was tenured faculty members in two different disciplines, natural sciences and humanities. The interview data were analyzed and coded using NVivo12 through an open coding process.

The results demonstrate that the same task type is differently perceived by individuals in different social contexts. Reasons for the different perceptions in the different contexts are associated with social factors of the disciplines, specifically social norms and practices.

This study uses a novel theoretical framework, cognitive sociology, to examine social aspects of human perception in relation to task-based information seeking behavior, which has been little understood theoretically and empirically in the field of information science.

Interactive information retrieval (IR) involves many human cognitive shifts at different information behaviour levels. Cognitive science defines a cognitive shift or shift in cognitive focus as triggered by the brain's response and change due to some external force. This paper aims to provide an explication of the concept of “cognitive shift” and then report results from a study replicating Spink's study of cognitive shifts during interactive IR. This work aims to generate promising insights into aspects of cognitive shifts during interactive IR and a new IR evaluation measure – information problem shift.

The study participants (n=9) conducted an online search on an in‐depth personal medical information problem. Data analysed included the pre‐ and post‐search questionnaires completed by each study participant. Implications for web services and further research are discussed.

Key findings replicated the results in Spink's study, including: all study participants reported some level of cognitive shift in their information problem, information seeking and personal knowledge due to their search interaction; and different study participants reported different levels of cognitive shift. Some study participants reported major cognitive shifts in various user‐based variables such as information problem or information‐seeking stage. Unlike Spink's study, no participant experienced a negative shift in their information problem stage or level of information problem understanding.

This study builds on the previous study by Spink using a different dataset. The paper provides valuable insights for further research into cognitive shifts during interactive IR.

The purpose of this paper is to explore how the affective aspect of information seeking is important in understanding information behaviour from a holistic perspective. While researchers have often explored adverse affective responses and coping mechanisms in information behaviour, this paper aims to focus on positive affect and the significant place of pleasure in amateur genealogists' information seeking and skills development.

This study adopted a multi‐case, exploratory approach to learning about amateur genealogists' affective behaviour associated with their information seeking. A total of 24 amateur genealogists from around the world participated in semi‐structured telephone interviews about their hunt for their Irish ancestors. Data were transcribed and analyzed to identify patterns of affective behaviour during genealogical information seeking.

The paper finds that amateur genealogists form a unique group of information seekers. Leisure functions as an important information seeking context, in which amateur genealogists associate information seeking with pleasure.

Findings suggest that there is a pleasure principle associated with information seeking, which may offer insight into patterns of affective information behaviour leading to advanced learning, information use, and technological adoption among older adults.