scholarly journals Types of Document Search Tasks and Users’ Cognitive Information Seeking Strategies

2014 ◽  
pp. 449-460
Author(s):  
Hee-Eun Lee ◽  
Wan Chul Yoon
Keyword(s):  
Information Seeking ◽  
Search Tasks ◽  
Document Search ◽  
Cognitive Information

Overview of Approaches and Future Challenges for Development of Music Recommendation Socio-Technical Systems

2016 ◽  
pp. 121-145
Author(s):  
Sergej Lugovic
Keyword(s):  
Information Seeking ◽  
Hybrid Approach ◽  
Information Behavior ◽  
Music Recommendation ◽  
Knowledge Based ◽  
Challenges And Opportunities ◽  
Future Challenges ◽  
Recent Developments ◽  
Cognitive Information ◽  
Music Information

This paper analyses the position of music recommendations in the wider context of music information behavior research and proposes five music information behavior dimensions: socio-cognitive information experience, information seeking, information retrieval, recommendations, and content consumption and analysis. It examines different approaches in the development of music recommendation systems (RS) which are applicable to all types of web information resources. These approaches are classified as content-based, collaborative, demographic, knowledge-based, meta-data-based, emotion-based and context-based, while the hybrid approach to RS development combines two or more approaches into one. Also, recent developments in the domain of music recommendations are discussed in detail. Finally, challenges and opportunities for collaboration between the scientific and the commercial communities on the development of new RS models are being explored.

scholarly journals Determining the Function of Social Referencing: The Role of Familiarity and Situational Threat

2020 ◽  
Vol 11 ◽  
Author(s):  
Samantha Ehli ◽  
Julia Wolf ◽  
Albert Newen ◽  
Silvia Schneider ◽  
Babett Voigt
Keyword(s):  
Social Interaction ◽  
Information Seeking ◽  
Social Cognitive ◽  
Situational Factors ◽  
Social Referencing ◽  
Behavioral Regulation ◽  
Ambiguous Situation ◽  
Interaction Partners ◽  
Cognitive Information

In ambiguous situations, infants have the tendency to gather information from a social interaction partner to regulate their behavior [social referencing (SR)]. There are two main competing theories concerning SR’s function. According to social-cognitive information-seeking accounts, infants look at social interaction partners to gain information about the ambiguous situation. According to co-regulation accounts, infants look at social interaction partners to receive emotional support. This review provides an overview of the central developments in SR literature in the past years. We focus on the role of situational aspects such as familiarity of SR partners and situational threat, not only for SR (looking), but also for subsequent behavioral regulation (exploration, affect). As the competing accounts make different predictions concerning both contextual factors, this approach may reveal novel insights into the function of SR. Findings showed that a higher familiarity of SR partners consistently resulted in decreased looking (cf. social-cognitive accounts) and that higher threat remains largely understudied, but seemed to increase looking in the first few studies (cf. co-regulation accounts). Concerning behavioral regulation (exploration, affect) findings are mixed. We point out that moving toward a more complex situatedness may help to disentangle the heterogeneous results by considering the interaction between familiarity and threat rather than investigating the factors in isolation. From a general perspective, this review underlines the importance of situational factors and their interaction in eliciting a phenomenon, such as SR, but also in determining the nature of the phenomenon itself.

Illustration and Validation of the Interactive IR Framework

2008 ◽  
pp. 263-293
Author(s):  
Iris Xie
Keyword(s):  
Information Seeking ◽  
Large Scale ◽  
Organizational Context ◽  
Personal Information ◽  
Search Tasks ◽  
Proposal Writing ◽  
Nature Of Information ◽  
Social Organizational ◽  
Types Of Information ◽  
And Shifts

In order to illustrate and validate the planned-situational interactive IR model, I conducted an empirical study. This study was a pilot of a large-scale study, discussed in the summary of this chapter, that focuses on the investigation of how people seek and retrieve information in their research proposal writing process. The objective of the study is particularly concerned with whether multiple information-seeking strategies were applied and shifts in information-seeking strategies occurred in users’ information-seeking and -retrieving process. This study addressed the following research questions: 1. What are users’ levels of goals/tasks and their representation? 2. What are users’ personal information infrastructures? 3. What is the social-organizational context for users’ information seeking and retrieving? 4. What types of IR systems do users access and what types of influences do these systems have? 5. What are the types of information-seeking strategies employed by users? 6. Do users shift their current search goals and information-seeking strategies in the information-seeking and -retrieving process? If yes, how? 7. What are the factors that lead to different levels and types of shifts? This research helps us understand the nature of information seeking and retrieving, in particular, the nature of interactive IR. Applying emprical data to examine the major components of the planned-situational interactive IR model and their interactions effectively assists us to validate and illustrate this model. The major contribution of this study is that it investigates users’ dynamic information-seeking processes related to their work and search tasks instead of a snapshot of an information- seeking activity. The emprical data further enrich and enhance the interactive IR framework. In addition to this study, I also incorporate some related studies to validate and ilustrate the planned-situational interactive IR model.

Avoiding Trouble: Exploring Environmental Risk Information Avoidance Intentions.

2018 ◽  
Vol 52 (2) ◽  
pp. 187-218 ◽  
Author(s):  
Lee Ann Kahlor ◽  
Hilary Clement Olson ◽  
Arthur B. Markman ◽  
Wan Wang
Keyword(s):  
Environmental Risk ◽  
Information Seeking ◽  
Risk Information ◽  
Current Data ◽  
Induced Earthquakes ◽  
Perceived Knowledge ◽  
Information Avoidance ◽  
Environmental Threat ◽  
Risk Research ◽  
Cognitive Information

This study explores predictors of risk information avoidance intentions in the context of a novel environmental threat—induced earthquakes in Texas. Given the paucity of research on risk information avoidance, this work was guided by a cognitive information behavior model. Survey data ( N = 541) from a random sample of Texas adults allowed us to explore these variables. While previous research has shown risk information seeking intentions to be robustly guided by a number of constructs, our current data suggest that risk information avoidance intentions may be more narrowly predicated on risk information avoidance-related subjective norms, attitudes, and perceived knowledge insufficiency. We discuss these findings and suggest avenues for future environmental risk research.

Measuring Psychology Students’ Information-Seeking Skills in a Situational Judgment Test Format

2016 ◽  
Vol 32 (3) ◽  
pp. 220-229 ◽  
Author(s):  
Tom Rosman ◽  
Anne-Kathrin Mayer ◽  
Günter Krampen
Keyword(s):  
Information Search ◽  
Information Seeking ◽  
Psychology Students ◽  
Situational Judgment Test ◽  
Situational Judgment ◽  
Search Tasks ◽  
Two Samples ◽  
Skill Decomposition ◽  
Academic Information ◽  
Expert Ratings

Abstract. Three studies were conducted to develop a test for academic information-seeking skills in psychology students that measures both procedural and declarative aspects of the concept. A skill decomposition breaking down information-seeking into 10 sub skills was used to create a situational judgment test with 22 items. A scoring key was developed based on expert ratings (N = 14). Subsequently, the test was administered to two samples of N = 78 and N = 81 psychology students. Within the first sample, the scale reached an internal consistency (Cronbach’s Alpha) of α = .75. Scale validity was investigated with data from the second sample. High correlations between the scale and two different information search tasks (r = .42 to .64; p < .001) as well as a declarative information literacy test (r = .51; p < .001) were found. The findings are discussed with regard to their implications for research and practice.

The effects of internet filtering on users’ information-seeking behaviour and emotions

2017 ◽  
Vol 69 (4) ◽  
pp. 408-425 ◽  
Author(s):  
Hamid R. Jamali ◽  
Pria Shahbaztabar
Keyword(s):  
Information Seeking ◽  
Negative Emotions ◽  
Content Filtering ◽  
Content Type ◽  
Postgraduate Students ◽  
Internet Filtering ◽  
Search Tasks ◽  
Information Seeking Behaviour ◽  
User Groups ◽  
Software Filtering

Purpose The purpose of this paper is to investigate the relationship between internet filtering, emotions and information-seeking behaviour. Design/methodology/approach In total, 15 postgraduate students at an Iranian university participated in the study which involved a questionnaire, search tasks with think aloud narratives, and interviews. Findings Internet content filtering results in some changes in the information-seeking behaviour of users. Users who face website blocking use a variety of methods to bypass filtering, mostly by using anti-filter software. Filtering encourages users to use channels such as social networking services to share resources and it increases the use of library material by some of the users. Users who face filtering during their search are more likely to visit more pages of results and click on more hits in the results, unlike users who do not experience filtering who rarely go past the first page. Blocking users’ access to content stimulates their curiosity and they become more determined to access the content. In terms of the affective aspect, filtering causes several negative emotions (e.g. anger, disgust, sadness and anxiety) and the main reason for these emotions is not the inability to access information but the feeling of being controlled and not having freedom. Research limitations/implications The study was limited to a small number of postgraduate students in social sciences and not generalisable to all user groups. The implication is that in countries where filtering is used, libraries can play an important role in serving users and reducing users negative emotions, especially if libraries can take advantage of technologies such as social media for their services. Originality/value This is first study to address the effects of internet filtering on information-seeking behaviour and emotions. The study shows that internet filtering causes negative emotions and results in some changes in information-seeking behaviour.

Overview of Approaches and Future Challenges for Development of Music Recommendation Socio-Technical Systems

2018 ◽  
pp. 2312-2336
Author(s):  
Sergej Lugovic
Keyword(s):  
Information Seeking ◽  
Hybrid Approach ◽  
Information Behavior ◽  
Music Recommendation ◽  
Knowledge Based ◽  
Challenges And Opportunities ◽  
Future Challenges ◽  
Recent Developments ◽  
Cognitive Information ◽  
Music Information

This paper analyses the position of music recommendations in the wider context of music information behavior research and proposes five music information behavior dimensions: socio-cognitive information experience, information seeking, information retrieval, recommendations, and content consumption and analysis. It examines different approaches in the development of music recommendation systems (RS) which are applicable to all types of web information resources. These approaches are classified as content-based, collaborative, demographic, knowledge-based, meta-data-based, emotion-based and context-based, while the hybrid approach to RS development combines two or more approaches into one. Also, recent developments in the domain of music recommendations are discussed in detail. Finally, challenges and opportunities for collaboration between the scientific and the commercial communities on the development of new RS models are being explored.

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