scholarly journals They forgot their “baby”?!: Factors that lead students to forget their cell phone

2021 ◽  
Author(s):  
Nathan Rose ◽  
Abigail Doolen ◽  
Andrea O’Rear
Keyword(s):  
Cell Phone ◽  
Daily Life ◽  
Cell Phones ◽  
Important Task ◽  
Activity Tracker ◽  
Relevant Task

Abstract Remembering intentions is critical for daily life, yet errors happen surprisingly often, even when there are fatal consequences, as in the “forgotten baby syndrome”. To study how people forget personally-important intentions, we took 192 students’ cell phones and attached an activity tracker to their clothes while they participated in an unrelated experiment in our lab. We examined how often students forgot to retrieve their cell phone (personally important task) and return the tracker (experimenter relevant task) when they left the lab, and whether it mattered if the instructions were explicitly encoded or not. Students only forgot the tracker 10-13% more often than their cell phone, and explicit instructions did not reduce forgetting; neither did longer, more distracting ongoing tasks. Between 60-70% of participants said the intention “popped into mind”. We suggest that PM intentions are “autonomically” encoded, yet even personally important tasks are forgotten at surprising rates.

scholarly journals They forgot their “baby”?!: Factors that lead students to forget their cell phone

2021 ◽  
Author(s):  
Nathan Rose ◽  
Abigail Csik Doolen ◽  
andrea o'rear
Keyword(s):  
Prospective Memory ◽  
Cell Phone ◽  
Daily Life ◽  
Personal Relevance ◽  
Activity Tracker ◽  
Relevant Task ◽  
Intention Formation ◽  
Retention Intervals

Prospective memory (PM) is critical for daily life, yet errors happen often, even when there are dire consequences. What factors make errors more or less likely to occur? While most researchers explicitly instruct subjects to perform abstract tasks with little personal relevance, we argue that PM in daily life often involves personally relevant intentions that are more “autonomically” encoded. When 192 students came to the lab to participate in an unrelated experiment, we took their cell phone and attached an activity tracker to their clothes. We examined how often students forgot to retrieve their cell phone (personally relevant task) compared to returning the tracker (experimenter relevant task) before leaving the lab, and whether it mattered if the instructions were explicitly or more autonomically encoded. Students only forgot the tracker 8-14% more often than their cell phone, and explicit instructions did not reduce forgetting; neither did longer retention intervals nor a mismatch between encoding-retrieval context. At retrieval, (60-70%) participants said the intention “popped into mind”. We discuss both the role of processes outside of awareness in PM intention formation and retrieval, and how this research helps to understand the “forgotten baby syndrome”.

Transport and Chronic Injuries Caused by Improper Use of Cell Phones：Evidences from 41 Studies (Preprint)

2020 ◽  
Author(s):  
Xinxi Cao ◽  
Yangyang Cheng ◽  
Chenjie Xu ◽  
Yabing Hou ◽  
Hongxi Yang ◽  
...  
Keyword(s):  
Human Body ◽  
Cell Phone ◽  
Injury Risk ◽  
Negative Impact ◽  
Mental Disease ◽  
Cell Phones ◽  
Cell Phone Use ◽  
Improper Use ◽  
Chronic Injuries ◽  
The Impact

BACKGROUND Cell phone use brought convenience to people, but using phones for a long period of time or in the wrong way and with a wrong posture might cause damage to the human body. OBJECTIVE To assess the impact of improper cell phone use on transport and chronic injuries. METHODS Studies were systematically searched in PubMed, EMBASE, Cochrane, and Web of Science up to April 4, 2019 and relevant reviews were searched to identify additional studies. A random-effects model was used to estimate the overall pooled estimates. RESULTS Cell phone users were at a higher risk for transport injuries (RR: 1.37, 95%CI: 1.221.55), long-term use of cell phones increased the transport injury risk to non-use or short-term use (RR: 2.10, 95% CI: 1.632.70). Neoplasm risk caused by cell phone use was 1.07 times that of non-use (95% CI: 1.011.14); Compared with non-use, cell phone use had a higher risk of eye disease, with a risk of 2.03 (95% CI: 1.273.23), the risk of mental disease was 1.26 (95% CI: 1.171.35), the risk of neurological disorder was 1.16 (95% CI: 1.021.32), and a pooled risk of other chronic injuries was 1.20 (95% CI: 0.981.59). CONCLUSIONS Cell phone use at inappropriate situations has a negative impact on the human body. Therefore, it is necessary to use cell phones correctly and reasonably.

scholarly journals Perceptions and Opinions towards Cell Phone Use as a Risk Factor of Brain Cancer among University Students in Malaysia

2013 ◽  
Vol 4 (1) ◽  
pp. 1-4
Author(s):  
Redhwan Ahmed Al-Naggar ◽  
Yuri V Bobryshev
Keyword(s):  
University Students ◽  
Mobile Phones ◽  
Brain Cancer ◽  
Cell Phone ◽  
Cell Phones ◽  
Medical Sciences ◽  
Cell Phone Use ◽  
The Past ◽  
Carcinogenic Effects ◽  
Study Participants

The worldwide use of cell phones has rapidly increased over the past decades. With the increasing use of mobile phones, concern has been raised about the possible carcinogenic effects as a result of exposure to radiofrequency electromagnetic fields. The objective of this study was to explore the perceptions and opinions towards brain cancer related to cell phone use among university students in Malaysia. The study revealed that the majority of the study participants believe that there is no relationship between brain cancer and hand phone use.DOI: http://dx.doi.org/10.3126/ajms.v4i1.7808 Asian Journal of Medical Sciences 4(2013) 1-4

scholarly journals Assessment of the Dynamic Exposure to PM2.5 Based on Hourly Cell Phone Location and Land Use Regression Model in Beijing

2021 ◽  
Vol 18 (11) ◽  
pp. 5884
Author(s):  
Junli Liu ◽  
Panli Cai ◽  
Jin Dong ◽  
Junshun Wang ◽  
Runkui Li ◽  
...  
Keyword(s):  
Land Use ◽  
Exposure Assessment ◽  
Activity Pattern ◽  
Cell Phone ◽  
Total Population ◽  
Cell Phones ◽  
Land Use Regression ◽  
Pm2.5 Exposure ◽  
Dynamic Exposure ◽  
Pm2.5 Concentration

The spatiotemporal locations of large populations are difficult to clearly characterize using traditional exposure assessment, mainly due to their complicated daily intraurban activities. This study aimed to extract hourly locations for the total population of Beijing based on cell phone data and assess their dynamic exposure to ambient PM2.5. The locations of residents were located by the cellular base stations that were keeping in contact with their cell phones. The diurnal activity pattern of the total population was investigated through the dynamic spatial distribution of all of the cell phones. The outdoor PM2.5 concentration was predicted in detail using a land use regression (LUR) model. The hourly PM2.5 map was overlapped with the hourly distribution of people for dynamic PM2.5 exposure estimation. For the mobile-derived total population, the mean level of PM2.5 exposure was 89.5 μg/m3 during the period from 2013 to 2015, which was higher than that reported for the census population (87.9 μg/m3). The hourly activity pattern showed that more than 10% of the total population commuted into the center of Beijing (e.g., the 5th ring road) during the daytime. On average, the PM2.5 concentration at workplaces was generally higher than in residential areas. The dynamic PM2.5 exposure pattern also varied with seasons. This study exhibited the strengths of mobile location in deriving the daily spatiotemporal activity patterns of the population in a megacity. This technology would refine future exposure assessment, including either small group cohort studies or city-level large population assessments.

Patient experience and satisfaction with telemedicine during COVID-19: a multi-institution experience (Preprint)

2021 ◽  
Author(s):  
Adrian Rodrigues ◽  
Jonathan S. Yu ◽  
Hriday Bhambhvani ◽  
Tyler Uppstrom ◽  
William Ricci ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
Cell Phone ◽  
Cell Phones ◽  
Multivariable Model ◽  
Assess Patient Satisfaction ◽  
High Satisfaction ◽  
Special Surgery ◽  
A Cell ◽  
Specific Factors ◽  
Hospital For Special Surgery

BACKGROUND The coronavirus disease 2019 (COVID-19) heralded an unprecedented increase in telemedicine utilization. OBJECTIVE Assess patient satisfaction with telemedicine during COVID-19 METHODS Telemedicine visit data were gathered from two separate institutions (Stanford Health Care (Stanford) and the Hospital for Special Surgery (HSS)). Patient satisfaction data from HSS were captured from a Press-Ganey questionnaire between April 19, 2020 and December 12, 2020, while the Stanford data was taken from a novel survey instrument that was distributed to all patients between June 22, 2020 and November 1, 2020. There were 60,550 telemedicine visits across 93 services at Stanford, each linked with a post-visit survey. At HSS, there were 66,349 total telemedicine visits with 7,348 randomly linked with a post-visit survey. The percentage of respondents who reported the highest possible likelihood to recommend score (“LTR top box percentage”) and mean overall visit scores were recorded. RESULTS Over 19 weeks, the LTR top box percentage at Stanford increased from 69.6% to 74.0% (p=.0002), and HSS showed no significant change across 35 weeks (p=.7100). LTR trend stability at Stanford was observed across 11 medical, four surgical, and five oncological services (p >.05). In the multivariable model, the use of a cell phone (aOR: 1.18; 95% CI: 1.12–1.23) and tablet (aOR: 1.15; 95% CI: 1.07–1.23) were associated with higher overall scores, while visits with interrupted connections (aOR: 0.49; 95% CI: 0.42–0.57) or help required to connect (aOR: 0.49; 95% CI: 0.42–0.56) predicted lower patient satisfaction. CONCLUSIONS We present the largest published description of patient satisfaction with telemedicine. We found high satisfaction with telemedicine encounters across multiple measures, and we identified a number of important telemedicine-specific factors that predict increased overall visit score. These include the use of cell phones or tablets, phone reminders, and connecting before the visit was scheduled to begin. Visits with poor connectivity, extended wait times, or difficulty being seen, examined, or understood by the provider were linked with reduced odds of high scores. Our results suggest that attention to connectivity and audio/visual definition will help optimize patient satisfaction with telemedicine encounters in the future. CLINICALTRIAL n/a

Hands-Free versus Hand-Held Cell Phone Conversation on a Braking Response by Young Drivers

2007 ◽  
Vol 105 (2) ◽  
pp. 514-522 ◽  
Author(s):  
Joy L. Hendrick ◽  
Jamie R. Switzer
Keyword(s):  
Cell Phone ◽  
Response Times ◽  
Cell Phones ◽  
Reaction Times ◽  
Free Cell ◽  
Visual Signal ◽  
Young Drivers ◽  
Speed Of Information Processing ◽  
Additional Support ◽  
The Right

As some states allow motorists to use hands-free cell phones only while driving, this study was done to examine some braking responses to see if conversing on these two types of cell phones affects quick responding. College-age drivers ( n = 25) completed reaction time trials in go/no-go situations under three conditions: control (no cell phone or conversation), and conversing on hands-free and hand-held cell phones. Their task involved moving the right foot from one pedal to another as quickly as possible in response to a visual signal in a lab setting. Significantly slower reaction times, movement times, and total response times were found for both cell phone conditions than for the control but no differences between hands-free and hand-held phone conditions. These findings provide additional support that talking on cell phones, regardless if it is hands-free or hand-held, reduces speed of information processing.

Quantifying the Size of the Contraband Cell Phone Problem: Insights From a Large Rural State Penitentiary

2018 ◽  
Vol 98 (5) ◽  
pp. 630-648
Author(s):  
Eric Grommon ◽  
Jeremy Carter ◽  
Charles Scheer
Keyword(s):  
Data Collection ◽  
Cell Phone ◽  
Cell Phones ◽  
Correctional Facilities ◽  
Market Dynamics ◽  
Unique Data ◽  
Rural State ◽  
Data Collection Effort

Cell phones are one of the most challenging forms of contraband for correctional facilities. The size of this problem is difficult to quantify. Confiscation data are only able to tell a partial story. Through the use of a unique data collection effort, this research details the number of contraband cell phones within a facility and offers the first attempt to estimate the gap that exists between the number of contraband cell phones available and the number that are confiscated. In light of the findings, implications for policy and an agenda for research on contraband cell phone market dynamics are provided.

scholarly journals Participatory Surveillance of COVID-19 in Lesotho via Weekly Calls: Protocol for Cell Phone Data Collection (Preprint)

2021 ◽  
Author(s):  
Abigail R Greenleaf ◽  
Gerald Mwima ◽  
Molibeli Lethoko ◽  
Martha Conkling ◽  
George Keefer ◽  
...  
Keyword(s):  
Data Collection ◽  
Surveillance System ◽  
Cell Phone ◽  
Diarrheal Disease ◽  
Cell Phones ◽  
Population Based ◽  
Noncommunicable Diseases ◽  
Future Research ◽  
Face To Face ◽  
Participatory Surveillance

BACKGROUND The increase in cell phone ownership in low- and middle-income countries (LMIC) has created an opportunity for low-cost, rapid data collection by calling participants on their cell phones. Cell phones can be mobilized for a myriad of data collection purposes, including surveillance. In LMIC, cell phone–based surveillance has been used to track Ebola, measles, acute flaccid paralysis, and diarrheal disease, as well as noncommunicable diseases. Phone-based surveillance in LMIC is a particularly pertinent, burgeoning approach in the context of the COVID-19 pandemic. Participatory surveillance via cell phone could allow governments to assess burden of disease and complements existing surveillance systems. OBJECTIVE We describe the protocol for the LeCellPHIA (Lesotho Cell Phone PHIA) project, a cell phone surveillance system that collects weekly population-based data on influenza-like illness (ILI) in Lesotho by calling a representative sample of a recent face-to-face survey. METHODS We established a phone-based surveillance system to collect ILI symptoms from approximately 1700 participants who had participated in a recent face-to-face survey in Lesotho, the Population-based HIV Impact Assessment (PHIA) Survey. Of the 15,267 PHIA participants who were over 18 years old, 11,975 (78.44%) consented to future research and provided a valid phone number. We followed the PHIA sample design and included 342 primary sampling units from 10 districts. We randomly selected 5 households from each primary sampling unit that had an eligible participant and sampled 1 person per household. We oversampled the elderly, as they are more likely to be affected by COVID-19. A 3-day Zoom training was conducted in June 2020 to train LeCellPHIA interviewers. RESULTS The surveillance system launched July 1, 2020, beginning with a 2-week enrollment period followed by weekly calls that will continue until September 30, 2022. Of the 11,975 phone numbers that were in the sample frame, 3020 were sampled, and 1778 were enrolled. CONCLUSIONS The surveillance system will track COVID-19 in a resource-limited setting. The novel approach of a weekly cell phone–based surveillance system can be used to track other health outcomes, and this protocol provides information about how to implement such a system. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/31236

Transport and Chronic Injuries of Cell Phone use on Human Health: A Systematic Analysis of Epidemiological Evidence

2020 ◽  
Author(s):  
Xinxi Cao ◽  
Chenjie Xu ◽  
Yabing Hou ◽  
Hongxi Yang ◽  
Shu Li ◽  
...  
Keyword(s):  
Human Body ◽  
Cell Phone ◽  
Injury Risk ◽  
Negative Impact ◽  
Mental Disease ◽  
Cell Phones ◽  
Systematic Analysis ◽  
Cell Phone Use ◽  
Chronic Injuries ◽  
The Impact

Abstract Background Cell phone use brought convenience to people, but using phones for a long period of time or in the wrong way and with a wrong posture might cause damage to the human body. This study was designed to assess the impact of cell phone use on transport and chronic injuries.Methods Studies were systematically searched in four database and relevant reviews were searched to identify additional studies. A total of 41 studies met the inclusion criteria.Results Cell phone users were at a higher risk for transport injuries (RR: 1.37, 95%CI: 1.22−1.55), long-term use of cell phones increased the transport injury risk to non-use or short-term use (RR: 2.10, 95% CI: 1.63−2.70). Neoplasm risk caused by cell phone use was 1.07 times that of non-use (95% CI: 1.01−1.14); Compared with non-use, cell phone use had a higher risk of eye disease, with a risk of 2.03 (95% CI: 1.27−3.23), the risk of mental disease was 1.26 (95% CI: 1.17−1.35), the risk of neurological disorder was 1.16 (95% CI: 1.02−1.32), and a pooled risk of other chronic injuries, was 1.20 (95% CI: 0.98−1.59). Subgroup analyses found that motor crashes had significantly increased (OR: 1.25; 95%CI: 1.18−1.32), as well as the risk for hearing problems (OR: 4.54; 95%CI: 3.29−5.80), headaches (OR: 1.25; 95%CI: 1.18−1.32), and abnormal biochemical indicators (OR: 0.51; 95%CI: 0.04−0.99).Conclusions Cell phone use at inappropriate situations has a negative impact on the human body. Therefore, it is necessary to use cell phones correctly and reasonably.

Pedometer Cell Phone Applications and Future Trends in Measuring Physical Activity

2013 ◽  
pp. 324-339 ◽  
Author(s):  
Anna Åkerberg ◽  
Maria Lindén ◽  
Mia Folke
Keyword(s):  
Physical Activity ◽  
Chronic Disease ◽  
Cell Phone ◽  
Cell Phones ◽  
High Accuracy ◽  
Health Impacts ◽  
World Population ◽  
Future Trends ◽  
The World ◽  
Important Means

A huge proportion of the world population is suffering from lifestyle related and preventable welfare diseases. Physical activity is one important means of achieving beneficial health impacts and of reducing the risk of chronic disease. Pedometers are often used to measure physical activity. Nowadays, cell phones are very common, and pedometer applications enable measurements to be made by a device that is already owned. This chapter presents a study of the measurement accuracy of pedometer cell phone applications. The results show that only one combination of pedometer application and cell phone provided high accuracy when tested by different test persons. In some cases, the measurements indicate that the orientation of the cell phone used during measurement might be relevant. In addition, it would be valuable to gain knowledge about the overall and everyday physical activity pattern, which would be very valuable in contributing to a healthier population.

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