What factors other than age predict performance on an information search task?

2006 ◽  
Author(s):  
Sara J. Czaja ◽  
Joseph Sharit ◽  
Sankaran N. Nair
Keyword(s):  
Information Search ◽  
Search Task

Executive Dysfunction Mediates the Association Between Older Age and Online Health Information Search Performance

2020 ◽  
Author(s):  
Victoria Kordovski ◽  
Savanna M. Tierney ◽  
Samina Rahman ◽  
Luis D. Medina ◽  
Michelle A. Babicz ◽  
...  
Keyword(s):  
Older Adults ◽  
Executive Functions ◽  
Information Search ◽  
Search Task ◽  
Executive Dysfunction ◽  
Older Age ◽  
The Internet ◽  
Younger Adults ◽  
Related Information ◽  
Health Related

Objective: Searching the Internet for health-related information is a complex and dynamic goal-oriented process that places demands on executive functions, which are higher-order cognitive abilities that are known to deteriorate with older age. This study aimed to examine the effects of older age on electronic health (eHealth) search behavior, and to determine whether executive functions played a mediating role in that regard. Method: Fifty younger adults (≤ 35 years) and 41 older adults (≥50 years) completed naturalistic eHealth search tasks involving fact-finding (Fact Search) and symptom diagnosis (Symptom Search), a neurocognitive battery, and a series of questionnaires. Results: Multiple regression models with relevant covariates revealed that older adults were slower and less accurate than younger adults on the eHealth Fact Search task, but not on the eHealth Symptom Search task. Nevertheless, executive functions mediated the relationship between older age and eHealth Fact Search and Symptom Search accuracy. Conclusions: Older adults can experience difficulty searching the Internet for some health-related information, which is at least partly attributable to executive dysfunction. Future studies are needed to determine the benefits of training in the organizational and strategic aspects of Internet search for older adults and whether these findings are applicable to clinical populations with executive dysfunction.

In quest of goldilocks ranges in searching for information on the web

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anna Matysek ◽  
Jacek Tomaszczyk
Keyword(s):  
Information Search ◽  
Design Methodology ◽  
Search Task ◽  
Web Searching ◽  
Content Type ◽  
Scientific Disciplines ◽  
Preliminary Study ◽  
The Right ◽  
User Experiment ◽  
Practical Implications

PurposeThe quest to discover optimal conditions or amounts has been carried out in many scientific disciplines and practical fields. In astrophysics, biology, medicine, psychology and education, the quest has resulted in finding the right amount of something, a desirable middle between extremes, a balance between conditions or the optimal state of a system. The results are referred to as the Goldilocks principle, which is based on the idea of being “just right”. The aim of our study was to find out if there are any measures in information search that could be identified as Goldilocks ranges.Design/methodology/approachWe conducted a user experiment in which 68 participants carried out a time-unlimited, topical search task involving finding relevant websites on the basis of which the participants were supposed to prepare a presentation on a given topic. We examined aspects of their search behavior.FindingsWe found that information search Goldilocks ranges can be identified for a length of a search session, number of relevant results, number of queries submitted and number of search engine results pages (SERPs) visited. This preliminary study has resulted in indicating the following dominant ranges: Number of relevant documents found: 5–8; Time spent searching: 21–35 min; Number of queries submitted: 3–7; Number of SERPs viewed: 1–3.Originality/valueTill now, no one has studied Goldilocks ranges in information retrieval. The Goldilocks ranges have some practical implications for improving the effectiveness of web searching.

scholarly journals Model of Making Decisions during an Information Search Task

2015 ◽  
Vol 105 (1) ◽  
pp. 157-166
Author(s):  
Francisco López-Orozco ◽  
Luis D. Rodríguez-Vega
Keyword(s):  
Information Search ◽  
Search Task

Entity Type Disambiguation in User Queries

2011 ◽  
Vol 10 (03) ◽  
pp. 209-224 ◽  
Author(s):  
Barbara Bazzanella ◽  
Heiko Stoermer ◽  
Paolo Bouquet
Keyword(s):  
Information Search ◽  
Bayesian Model ◽  
Search Task ◽  
Specific Information ◽  
Internet Search ◽  
Search Query ◽  
Entity Search ◽  
Beneficial Impact ◽  
Primary Means ◽  
Important Activity

Searching for information about individual entities such as persons, locations, events, is an important activity in Internet search today, and is in its core a very semantic-oriented task. Several ways for accessing such information exist, but for locating entity-specific information, search engines are the most commonly used approach. In this context, keyword queries are the primary means of retrieving information about a specific entity. We believe that an important first step of performing such a task is to understand what type of entity the user is looking for. We call this process Entity Type Disambiguation. In this paper, we present a Naive Bayesian Model for entity type disambiguation that explores our assumption that an entity type can be inferred from the attributes a user specifies in a search query. The model has been applied to queries provided by a large sample of participants in an experiment performing an entity search task. The beneficial impact of this approach for the development of new search systems is discussed.

scholarly journals Voice Assistant vs. Chatbot – Examining the Fit Between Conversational Agents’ Interaction Modalities and Information Search Tasks

2021 ◽  
Author(s):  
Christine Rzepka ◽  
Benedikt Berger ◽  
Thomas Hess
Keyword(s):  
Artificial Intelligence ◽  
Laboratory Experiment ◽  
Customer Service ◽  
Information Search ◽  
Search Task ◽  
Cognitive Effort ◽  
Research Model ◽  
Conversational Agents ◽  
Search Tasks ◽  
Task Technology Fit

AbstractOwing to technological advancements in artificial intelligence, voice assistants (VAs) offer speech as a new interaction modality. Compared to text-based interaction, speech is natural and intuitive, which is why companies use VAs in customer service. However, we do not yet know for which kinds of tasks speech is beneficial. Drawing on task-technology fit theory, we present a research model to examine the applicability of VAs to different tasks. To test this model, we conducted a laboratory experiment with 116 participants who had to complete an information search task with a VA or a chatbot. The results show that speech exhibits higher perceived efficiency, lower cognitive effort, higher enjoyment, and higher service satisfaction than text-based interaction. We also find that these effects depend on the task’s goal-directedness. These findings extend task-technology fit theory to customers’ choice of interaction modalities and inform practitioners about the use of VAs for information search tasks.

Seeking and Resolving Complex Online Health Information

2016 ◽  
Vol 60 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Joseph Sharit ◽  
Jessica Taha ◽  
Ronald W. Berkowsky ◽  
Sara J. Czaja
Keyword(s):  
Older Adults ◽  
Health Information ◽  
Processing Speed ◽  
Information Search ◽  
Cognitive Abilities ◽  
Search Task ◽  
Search Time ◽  
Online Health Information ◽  
Complex Health Problems ◽  
Similar Search

Presently, adults can exploit a vast amount of online health information for solving relatively complex health problems. This study examined the performance of 60 adults ranging in age from 18-82 years on a complex online health information search task. Measures of search time, amount of search, search accuracy, and six cognitive abilities were obtained. The older participants exhibited similar search accuracy, significantly less amount of search, and significantly longer time to complete the problem compared to the younger participants. For the younger participants having higher cognitive ability typically translated into significantly better search accuracy and greater amount of search accomplished. For the older participants, only processing speed significantly distinguished the lower and higher ability older adults on search accuracy and none of the ability measures differentiated these participants on amount of search. These differences and their implications are discussed in the context of supporting older online health information seekers.

Search Situations and Transitions

2011 ◽  
pp. 1000-1004
Author(s):  
Nils Pharo ◽  
Kalervo Jarvelin
Keyword(s):  
Information Search ◽  
Search Task ◽  
Search Process ◽  
Related Factors ◽  
Work Task ◽  
Task Knowledge ◽  
Web Information ◽  
Search Processes ◽  
Micro Level

In order to understand the nature of Web information search processes it is necessary to identify the interplay of factors at the micro-level, that is, to understand how search process related factors such as the actions performed by the searcher on the system are influenced by various factors that might explain it, for example, those related to his work task, search task, knowledge about the work task or searching and etcetera. The Search Situation Transition (SST) method schema provides a framework for such analysis.

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