The effects of perceived chronic pressure and time constraint on information search behaviors and experience
Introduction
User experience has long been an important consideration in the design of interactive information retrieval (IIR) systems. To provide users with more effective and efficient search service, users’ individual characteristics and search contexts are critical for information retrieval systems. For instance, in a review of the historical development of IIR, it is recognized that searchers’ characteristics, conceptualized as levels of user expertise and behavioral characteristics inherent in searchers, should be specifically considered in the feedback that IR systems provide for users (Savage-Knepshield & Belkin, 1999). Recent research on this topic has focused on the attributes of searchers, such as users’ domain knowledge, search skills, cognitive styles and types of search tasks, and how they influence users’ information search behaviors (e.g., Liu, Thomas, Bacic, Gedeon, & Li, 2017; Liu and Wacholder, 2017, O'Brien et al., 2017, Wittek et al., 2016).
More generally, the variable of time has been conceptualized as a contextual factor and constraints that affect people's information seeking behavior and decision-making (Landry, 2014, Savolainen, 2006, Wegier and Spaniol, 2015). When the available time is limited, users may change their information seeking strategies or behaviors over their information search processes. In the conceptualization of search tasks, Li and Belkin (2008) proposed to examine time length as a feature of search tasks, and urgency as a subjective measure of searchers’ characteristics. This thread of research suggests that IIR research should examine the effect of time constraints on user search behaviors and how users perceive their overall search experience within information seeking contexts.
IIR researchers have investigated the effect of imposed time constraint on user perceptions, search behaviors and search performance during information seeking processes (e.g., Crescenzi et al., 2015, Fujikawa et al., 2012; Liu & Wei, 2016; Liu, Yang, Zhao, Jiang, & Zhang, 2014). These studies generally suggest that time constraints affect users’ perceptions about their search experiences and search behaviors during information seeking processes. For example, time pressure has a significant effect on the evaluation of search performance (Liu et al., 2014) and user search behaviors (Crescenzi et al., 2015), such as the query rate and the number of documents viewed per query. However, when given a time constraint, whether different individuals would have different coping strategies during the information search process remains unclear.
When analyzing users’ search behaviors, Allen and Kim (2001) have proposed the adoption of a person-in-situation approach to understanding human information behaviors by taking account of the interaction effects of individual characteristics and situational factors. Kim and Allen (2002) also demonstrated that the combination of the task type and problem-solving style/cognitive ability variables had significant interaction effects on users’ search activities. Therefore, when examining the effect of contextual factors, it is important to consider users’ individual characteristics, especially the personality/cognitive style variables, to investigate how different users cope in different search situations.
One possible characteristic that may influence users’ interactions under different time conditions is their individual pressure. Research on pressure and stress suggests that individual pressure could be classified as chronic pressure and acute pressure (Petrac, Bedwell, Renk, Orem, & Sims, 2009). Acute pressure is seen as healthy and adaptive responding to the environment, often caused by contextual factors such as time constraints. Chronic pressure is constant and persists over an extended period of time, which can be referred to as an internal individual characteristic (Lundberg, 2005, Selye, 1973). Comparing types of pressure, acute pressure is a reaction to recent events or immediate surroundings, such as a time constraint, whereas chronic pressure describes individual pressure levels that may not change during a period of time. Studies have shown that chronic pressure is related to people's academic performance and tasks of attention (e.g., Aspinwall and Taylor, 1992, Elias et al., 2011, Simons et al., 2002, Vedhara et al., 2000). However, it is unclear how the chronic pressure level as an individual characteristic will affect users’ search behaviors, particularly when a certain time constraint is imposed. The relationship between the individual characteristic of chronic pressure level and time constraints needs further investigation, because searchers may have different coping strategies in different situations. We specifically consider how users with different chronic pressure levels will accomplish search tasks, especially when a certain time constraint is imposed. We examined such research questions using a mixed-effects model method to not only examine the main effects of time conditions and users’ chronic pressure, but also the interaction effects of these two factors.
The contributions of this paper include: First, our study examines the effect of users’ chronic pressure value on their search behaviors and search effort, and the results indicate that more chronic pressure could lead to significantly more search efforts; second, the results help us understand how different people behave to cope with situational change, such as a time constraint; third, the study also sheds light on the design of interactive information retrieval, especially the mixed model method could be provided as the data analysis method for us to examine the effects of task and user and other variables together.
Section snippets
Research objectives
This study was designed to determine the interaction effects of perceived chronic pressure and time constraint on searchers' behaviors and their assessment of search experience within the person-in-situation framework of interactive information retrieval. We focus on chronic pressure as one kind of individual characteristic, and use pressure to indicate the user experience of stress, measured by internal perceptions of an individual, as opposed to the broader definition of stress which is
Person-in-situation approach
The person-in-situation theory posits that intelligence, reasoning and problem solving are situated and personal, and they should be interpreted as in the person-situation interaction, not the person alone or the situation alone (Snow, 1994). Allen (1997) proposed a person-in-situation approach in information science and advocated for an interactionist perspective on the relationship between situational and individual determinants of behavior. From the interactionist perspective, users’
Methodology
Drawing from the theoretical model of person-in-situation, a laboratory-based user experiment was conducted to investigate the effects of time constraint and perceived chronic pressure on users’ search behaviors and perception of search experience. A lab-based user experiment was selected because the goal of this study is to examine how different users react to the same level of time constraint, therefore a lab experiment could help us control that all the participants were searching for the
Data analysis
In this study, mixed-effects models are constructed for determining the effects of pressure value and time condition on user search behaviors. Mixed-effects distinguish between fixed effects that are due to experimental conditions, and random effects that are due to individual differences in a sample. We are concerned with both fixed effects of pressure value and time condition and random effects of individual differences. We choose mixed-effects models because they are useful for the analysis
Results
Table 3 presents the results from the mixed effects of pressure value and time condition on the time spent in searching. Our null model included the random effects of search task and user, as shown in Table 2. The fixed effects of pressure value, time condition and their interaction effects were added to other models.
Table 4 presents the results from the mixed effects of pressure value and time condition on the behavioral variables we examined the study. The results indicated that three
Discussion
This study adopted a person-in-situation framework to investigate the effects of time constraint on users’ search behaviors by considering users’ perceived chronic pressure as an individual characteristic. Our findings suggest that both perceived chronic pressure and time constraints have significant effects on users’ search behaviors, and these two factors have interaction effects on users’ search behaviors.
First, our results show that searchers with higher perceived chronic pressure spent
Limitation and future research
Our study has some limitations. As a laboratory experiment, participants’ search behavior observed in the lab may not be the same as in naturalistic settings. Particularly for the time constraint, we manipulated the time constraint as a five-minute limit for each of the search tasks in our settings, which was only about half of the required time in the pilot study. The reason we set a five-minute limit was to ensure that participants experience a severe time constraint in searching, since some
Implications
The findings of the current study indicate that users with higher-pressure may need more assistance than users with lower-pressure, since they often need longer time and more interactions to accomplish search tasks. Further investigation should explore the effects of time constraint and individual's chronic pressure on users’ search strategies, their interaction on Web pages, evaluation criteria for the usefulness of information during search, and their search performance. The results also shed
Conclusion
This study demonstrated that both time constraint and pressure level had a remarkable influence upon searchers’ search behaviors. Searchers’ perceived chronic pressure influenced searchers’ task completion time, searching time and number of interactions during search. Compared to searchers with low-pressure, searchers with high-pressure tended to be more active during search, devoted a longer time to search, and took a longer time to accomplish tasks. However, searchers’ chronic pressure was
Acknowledgments
This research was funded by The National Social Science Fund of China (project number 18BTQ090) and partially by Australian Government through the Australian Research Council (project number LP140100995).
References (75)
- et al.
Taking reading comprehension exams on screen or on paper? A metacognitive analysis of learning texts under time pressure
Computers in Human Behavior
(2012) - et al.
Mixed-effects modeling with crossed random effects for subjects and items
Journal of Memory and Language
(2008) - et al.
Stress and academic achievement among undergraduate students in Universiti Putra Malaysia
Procedia - Social and Behavioral Sciences
(2011) - et al.
A faceted approach to conceptualizing tasks in information seeking
Information Processing & Management
(2008) - et al.
Task complexity: A review and conceptualization framework
International Journal of Industrial Ergonomics
(2012) - et al.
Evaluating the impact of mesh (medical subject headings) terms on different types of searchers
Information Processing & Management
(2017) Children's information seeking in coping with daily-life problems: An investigation of fifth- and sixth-grade students
Library & Information Science Research
(2010)Stress hormones in health and illness: The roles of work and gender
Psychoneuroendocrinology
(2005)- et al.
Effects of time-pressure on decision-making under uncertainty: Changes in affective state and information processing strategy
Acta Psychologica
(2000) - et al.
A scoping review of individual differences in information seeking behavior and retrieval research between 2000 and 2015
Library & Information Science Research
(2017)
Time as a context of information seeking
Library & Information Science Research
A study of the influence of task familiarity on user behaviors and performance with a mesh term suggestion interface for PubMed bibliographic search
International Journal of Medical Informatics
The effects of task complexity and time availability limitations on human performance in database query tasks
International Journal of Human-Computer Studies
Acute stress, memory, attention and cortisol
Psychoneuroendocrinology
The impact of time constraint on information search strategies in complex choice tasks
Journal of Economic Psychology
Perceived self-efficacy and interactive video retrieval
Journal of Documentation
Information needs: A person-in-situation approach
Person and context in information seeking: Interactions between cognitive and task variables
The New Review of Information Behaviour Research
A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives
Modeling cognitive adaptation: A longitudinal investigation of the impact of individual differences and coping on college adjustment and performance
Journal of Personality and Social Psychology
Fitting linear mixed-effects models using lme4
Journal of Statistical Software
The IIR evaluation model: A framework for evaluation of interactive information retrieval systems
Information Research
Factor analysis of a search self-efficacy scale
Simulating simple user behavior for system effectiveness evaluation
Take your time first, time your search later: How college students perceive time in web searching
Proceedings of the American Society for Information Science and Technology
A global measure of perceived stress
Journal of Health and Social Behavior
Time pressure, user satisfaction and task difficulty
Time pressure and system delays in information search
Text skimming: The process and effectiveness of foraging through text under time pressure
Journal of Experimental Psychology: Applied
Engaged or frustrated?: Disambiguating emotional state in search
Constraint can affect human perception, behaviour, and performance of search
Using affective signals as implicit indicators of information relevance and information processing strategies
Proceedings of the Association for Information Science and Technology
Detecting stress during real-world driving tasks using physiological sensors
IEEE Transactions on Intelligent Transportation Systems
From fear to flow: Personality and information interaction
stargazer: Well-formatted regression and summary statistics tables [Computer software manual]
An eye-tracking study of user interactions with query auto completion
A structural equation model of information retrieval skills
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