scholarly journals Exploring “Planned Serendipity” and On-site Information Behavior on Smartphones

2022 ◽  
pp. 406-411
Author(s):  
Micol Mieli
Keyword(s):  
Thematic Analysis ◽  
Information Search ◽  
Information Needs ◽  
Sampling Method ◽  
Qualitative Interviews ◽  
Information Behavior ◽  
Experience Sampling Method ◽  
Travel Information ◽  
Related Information ◽  
Smartphone Use

AbstractThe paper explores tourists’ smartphone-related information behavior on site in light of the concept of “planned serendipity”. The ability to gather information at anytime and anywhere can deeply influence tourists’ behavior, their information needs and the outcomes of their travel plans. In this study, the concept of planned serendipity is used to suggest that the outcome of travel information behavior on site is not entirely planned nor entirely serendipitous. The study employs the Experience Sampling Method (ESM) in combination with qualitative interviews, which allow the researcher to gather data both during the participants’ trip and afterwards. The thematic analysis resulted in four main themes related to information search connected to smartphone use: flexible plans; orientation in time and space; specificity of the query; aiming for optimization. Such conditions result in planned serendipity. The study thus contributes to the conceptualization of planned serendipity as an outcome of smartphone use during travel for information purposes.

Caught in the moment: Are there person-specific associations between momentary procrastination and passively logged smartphone use?

2021 ◽  
Author(s):  
George Aalbers ◽  
Mariek Magdalena Petra Vanden Abeele ◽  
Andrew T Hendrickson ◽  
Lieven De Marez ◽  
Loes Keijsers
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Video Streaming ◽  
Structural Equation ◽  
Sampling Method ◽  
Experience Sampling Method ◽  
Equation Modeling ◽  
Female Self ◽  
Smartphone Use ◽  
The Moment

Procrastination is an increasingly prevalent phenomenon. Although research suggests smartphones might be involved, little is known about the momentary association between different patterns of smartphone use and procrastination. In a preregistered study, 221 students (Mage = 20, 55% female) self-reported procrastination five times a day for 30 days (i.e., Experience Sampling Method) while their smartphone use was continuously monitored (i.e., passive logging). Using dynamic structural equation modeling (DSEM) on 27,151 observations, we estimated momentary within-person associations between procrastination and 1) total smartphone use and use of specific application categories (social media, messaging, browsers, games, and video streaming), 2) notifications, and 3) smartphone use fragmentation. Procrastination was positively albeit weakly associated with all aforementioned patterns and associations varied from person to person. Collectively, our findings suggest these popular devices potentially encourage dilatory behavior.

scholarly journals A mixed-method investigation into measurement reactivity to the experience sampling method: The role of sampling protocol and individual characteristics

2021 ◽  
Author(s):  
Gudrun Eisele ◽  
Hugo Vachon ◽  
Ginette Lafit ◽  
Daphne Tuyaerts ◽  
Marlies Houben ◽  
...  
Keyword(s):  
Sampling Method ◽  
Qualitative Interviews ◽  
Experience Sampling ◽  
Experience Sampling Method ◽  
Emotional Awareness ◽  
Individual Characteristics ◽  
Sampling Protocol ◽  
Reactive Changes ◽  
Time Changes ◽  
Over Time

Since the introduction of the experience sampling method (ESM), there have been concerns that the repeated assessments typically related to this method may alter the behavior, thoughts, or feelings of participants. Previous studies have offered mixed results with some studies reporting reactive changes while others failed to find such effects. Our aim was to investigate under which circumstances ESM induces reactive effects.Students (N = 151) were randomly assigned to receive a questionnaire containing 30 or 60 items 3, 6, or 9 times per day for 14 days. A random sample of 50 participants took part in qualitative interviews after the end of the data collection. We investigated changes over time in the data, while taking into account the sampling protocol and characteristics of participants, and analyzed qualitative reports of measurement reactivity.Decreases in completion time, within-person variance of ratings and subjective reports of habituation point towards the existence of a habituation period. While participants also reported increases in emotional awareness in interviews, ESM measures indicated a decrease in emotional awareness over time. Changes in behavior were rare in quantitative and qualitative reports. Positive affect was found to decrease over time in the ESM data and various changes in affect, emotion regulation, and thoughts were reported in interviews. Individual characteristics and sampling protocol had inconsistent effects on changes over time.The current results suggest that ESM induces reactivity. These reactive changes may be particularly relevant to researchers investigating within-person variability, completion times, affect, or emotional awareness.

A Study on the Nanotechnology Researchers’ Information Needs and Information Retrieval Behavior

2011 ◽  
Vol 110-116 ◽  
pp. 3849-3852
Author(s):  
Tahereh Hasoomi ◽  
Sahar Mehraban
Keyword(s):  
Information Retrieval ◽  
Information Needs ◽  
Sampling Method ◽  
Data Bases ◽  
Related Information ◽  
Expert Opinions ◽  
Research Population ◽  
Access Information ◽  
Conducting Research ◽  
Cluster Random Sampling

The purpose of this project is to study the nanotechnology researchers’ information needs and information retrieval behavior. Its Methodology is questionnaire survey. Research instrument was a researcher-made questionnaire whose reliability was calculated through Cronbach α (α= 0,914) and whose content validity was analyzed and approved through expert opinions.1225 researchers in nanotechnology are included as the research population out of whom 291 researchers, based on Krejcie and Morgan table, were selected using cluster random sampling method. Out of distributed questionnaires (500), 243 of them (84% of the sample) were returned completed. Statistical analyses were carried out in SPSS and Excel environments. The results of research indicate that, 69.7 % researchers mainly use articles, 58.8 % of them e-journals, and a few of them use bibliographies as formal sources. Their ideal type of resource is e-resources. Their motives to use information are mainly conducting research projects and updating their field-related information. Academic centers are where they usually refer to address their information needs. The major problems to access information are inappropriate internet services and lack of access to certain data bases due to subscription issues.

scholarly journals Caught in the moment: Are there person-specific associations between momentary procrastination and passively measured smartphone use?

2021 ◽  
pp. 205015792199389
Author(s):  
George Aalbers ◽  
Mariek M. P. vanden Abeele ◽  
Andrew T. Hendrickson ◽  
Lieven de Marez ◽  
Loes Keijsers
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Video Streaming ◽  
Structural Equation ◽  
Sampling Method ◽  
Experience Sampling Method ◽  
Equation Modeling ◽  
Female Self ◽  
Smartphone Use ◽  
The Moment

Procrastination is an increasingly prevalent phenomenon. Although research suggests smartphones might be involved, little is known about the momentary association between different patterns of smartphone use and procrastination. In a preregistered study, 221 students ( Mage = 20, 55% female) self-reported procrastination five times a day for 30 days (i.e., experience sampling method) while their smartphone use was continuously monitored (i.e., passive logging). Using dynamic structural equation modeling on 27,151 observations, we estimated momentary within-person associations between procrastination and (a) total smartphone use and use of specific application categories (social media, messaging, browsers, games, and video streaming), (b) notifications, and (c) smartphone use fragmentation. Procrastination was positively albeit weakly associated with all aforementioned patterns, and associations varied from person to person. Collectively, our findings suggest these popular devices potentially encourage dilatory behavior.

scholarly journals Characterizing meal-time smartphone use in an obesogenic environment: Report of two observational studies using the experience sampling method (Preprint)

2020 ◽  
Author(s):  
Joceline YY Yong ◽  
Eddie MW Tong ◽  
Jean CJ Liu
Keyword(s):  
Young Adults ◽  
Sampling Method ◽  
Experience Sampling ◽  
Experience Sampling Method ◽  
Wide Range ◽  
Smartphone Use ◽  
Meal Time ◽  
Main Meal ◽  
The Impact ◽  
Food Photography

BACKGROUND Despite a large volume of research on the impact of other digital screens (e.g., televisions) on eating behavior, little is known about the nature and impact of meal-time smartphone use. OBJECTIVE We investigated: (1) how smartphones are used in everyday meals, (2) whether phone users differ according to meal-time phone use patterns, and (3) whether specific phone functions (particularly food photography) would affect the amount and enjoyment of food eaten. METHODS Across 2 studies, we used the experience sampling method to track 1780 meals in situ. In Study 1, 137 young adults reported on their meal-time smartphone use 3 times/d over 7 consecutive days. This corresponded to each main meal, with participants recording whether they used their phones and what phone functions they engaged in while eating. In Study 2, 71 young adults were similarly tracked for 3 meals/d over 7 days. Across the week, participants’ meals were randomized to one of three smartphone conditions–food photography while eating, non-food photography while eating, or no phone use. As the outcome measures, participants reported on the amount and enjoyment of food they ate. RESULTS During the week-long tracking, most participants (85.3%) recorded at least one instance of meal-time smartphone use, with an average frequency of 1 in 3 meals where phones were used (95% CI: 23.6%, 30.6%). Unlike traditional digital screens, meal-time phone use encompassed a wide range of social and non-social activities. Further, specific forms of phone use influenced appetite regulation in different ways: in Study 2, participants showed the typical pattern of increased food intake across the day when they engaged in non-food photography during a meal (P < 0.001); however, this pattern was disrupted when they engaged in food photography (P = 0.73). CONCLUSIONS Our findings underscore the prevalence and multi-faceted nature of meal-time smartphone use, distinguishing mobile phones from traditional forms of digital screens. CLINICALTRIAL ClinicalTrials.gov NCT03299075 & NCT03346785

Emotional Variability Predicts Tiredness in Daily Life

2016 ◽  
Vol 37 (3) ◽  
pp. 181-193 ◽  
Author(s):  
Aire Mill ◽  
Anu Realo ◽  
Jüri Allik
Keyword(s):  
Sampling Method ◽  
Daily Life ◽  
Emotional Experience ◽  
Experience Sampling ◽  
Experience Sampling Method ◽  
Building Blocks ◽  
Intraindividual Variability ◽  
Unique Role ◽  
Over Time

Abstract. Intraindividual variability, along with the more frequently studied between-person variability, has been argued to be one of the basic building blocks of emotional experience. The aim of the current study is to examine whether intraindividual variability in affect predicts tiredness in daily life. Intraindividual variability in affect was studied with the experience sampling method in a group of 110 participants (aged between 19 and 84 years) during 14 consecutive days on seven randomly determined occasions per day. The results suggest that affect variability is a stable construct over time and situations. Our findings also demonstrate that intraindividual variability in affect has a unique role in predicting increased levels of tiredness at the momentary level as well at the level of individuals.

Monitoring Daily Life Using Mobile Phones: The Experience Sampling Method

2006 ◽  
Author(s):  
Alessandra Preziosa ◽  
Marta Bassi ◽  
Daniela Villani ◽  
Andrea Gaggioli ◽  
Giuseppe Riva
Keyword(s):  
Mobile Phones ◽  
Sampling Method ◽  
Daily Life ◽  
Experience Sampling ◽  
Experience Sampling Method
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