Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)
1Gwizdka, J. ; Moshfeghi, Y. ; Wilson, M.L.: Introduction to the special issue on neuro-information science.
In: Journal of the Association for Information Science and Technology. 70(2019) no.9, S.911-916.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24263.
2Bilal, D. ; Gwizdka, J.: Children's query types and reformulations in Google search.
In: Information processing and management. 54(2018) no.6, S.1022-1041.
Abstract: We investigated the searching behaviors of twenty-four children in grades 6, 7, and 8 (ages 11-13) in finding information on three types of search tasks in Google. Children conducted 72 search sessions and issued 150 queries. Children's phrase- and question-like queries combined were much more prevalent than keyword queries (70% vs. 30%, respectively). Fifty two percent of the queries were reformulations (33 sessions). We classified children's query reformulation types into five classes based on the taxonomy by Liu et al. (2010). We found that most query reformulations were by Substitution and Specialization, and that children hardly repeated queries. We categorized children's queries by task facets and examined the way they expressed these facets in their query formulations and reformulations. Oldest children tended to target the general topic of search tasks in their queries most frequently, whereas younger children expressed one of the two facets more often. We assessed children's achieved task outcomes using the search task outcomes measure we developed. Children were mostly more successful on the fact-finding and fully self-generated task and partially successful on the research-oriented task. Query type, reformulation type, achieved task outcomes, and expressing task facets varied by task type and grade level. There was no significant effect of query length in words or of the number of queries issued on search task outcomes. The study findings have implications for human intervention, digital literacy, search task literacy, as well as for system intervention to support children's query formulation and reformulation during interaction with Google.
Inhalt: Vgl.: https://doi.org/10.1016/j.ipm.2018.06.008.
Themenfeld: Suchtaktik ; Suchmaschinen
3Gwizdka, J. ; Hosseini, R. ; Cole, M. ; Wang, S.: Temporal dynamics of eye-tracking and EEG during reading and relevance decisions.
In: Journal of the Association for Information Science and Technology. 68(2017) no.10, S.2299-2312.
Abstract: Assessment of text relevance is an important aspect of human-information interaction. For many search sessions it is essential to achieving the task goal. This work investigates text relevance decision dynamics in a question-answering task by direct measurement of eye movement using eye-tracking and brain activity using electroencephalography EEG. The EEG measurements are correlated with the user's goal-directed attention allocation revealed by their eye movements. In a within-subject lab experiment (N?=?24), participants read short news stories of varied relevance. Eye movement and EEG features were calculated in three epochs of reading each news story (early, middle, final) and for periods where relevant words were read. Perceived relevance classification models were learned for each epoch. The results show reading epochs where relevant words were processed could be distinguished from other epochs. The classification models show increasing divergence in processing relevant vs. irrelevant documents after the initial epoch. This suggests differences in cognitive processes used to assess texts of varied relevance levels and provides evidence for the potential to detect these differences in information search sessions using eye tracking and EEG.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23904/full.
4Gwizdka, J.: Distribution of cognitive load in Web search.
In: Journal of the American Society for Information Science and Technology. 61(2010) no.11, S.2167-2187.
Abstract: The search task and the system both affect the demand on cognitive resources during information search. In some situations the demands may become too high for a person. This article has a three-fold goal. First, it presents and critiques methods to measure cognitive load. Second, it explores the distribution of load across search task stages. Finally, it seeks to improve our understanding of factors affecting cognitive load levels in information search. To this end, a controlled Web search experiment with 48 participants was conducted. Interaction logs were used to segment search tasks semiautomatically into task stages. Cognitive load was assessed using a new variant of the dual-task method. Average cognitive load was found to vary by search task stages. It was significantly higher during query formulation and user description of a relevant document as compared to examining search results and viewing individual documents. Semantic information shown next to the search results lists in one of the studied interfaces was found to decrease mental demands during query formulation and examination of the search results list. These findings demonstrate that changes in dynamic cognitive load can be detected within search tasks. Dynamic assessment of cognitive load is of core interest to information science because it enriches our understanding of cognitive demands imposed on people engaged in the search process by a task and the interactive information retrieval system employed.
5Gwizdka, J. ; Lopatovska, I.: ¬The role of subjective factors in the information search process.
In: Journal of the American Society for Information Science and Technology. 60(2009) no.12, S.2452-2464.
Abstract: We investigated the role of subjective factors in the information search process. Forty-eight participants each conducted six Web searches in a controlled setting. We examined relationships between subjective factors (happiness levels, satisfaction with and confidence in the search results, feeling lost during search, familiarity with and interest in the search topic, estimation of task difficulty) and objective factors (search behavior, search outcomes, and search-task characteristics). Data analysis was conducted using a multivariate statistical test (canonical correlations analysis). The findings confirmed existence of several relationships suggested by prior research, including relationships between objective search task difficulty and the perception of task difficulty, and between subjective states and search behaviors and outcomes. One of the original findings suggests that higher happiness levels before and during the search correlate with better feelings after the search, but also correlate with worse search outcomes and lower satisfaction, suggesting that, perhaps, it pays off to feel some pain during the search to gain quality outcomes.