Playing Cool - Winter Weather's Influence on Location-Based Gaming

Location-based games are highly dependent on the physical environment. One important but often overlooked factor is weather. In this paper we focus on winter weather, as this is a common weather that is often not designed for specifically. By performing a qualitative observation, interview, and questionnaire study of families during and after playing a GPS-based mobile game in a winter setting, this paper studies how winter conditions affected the gaming experience. Three main factors were observed to have a big impact on the gaming experience: snow, ice and cold. We outline ways these weather conditions were found to be both obstacles, and adding value to the game. Finally, we suggest design implications for winter weather, mainly; the need for short games due to cold, adaption of gameplay for movement in snow, to avoid interactions based on handling the phone, and to adapt maps to the effects of snow and ice. By explaining how winter conditions affect the gaming experience, location-based games can be better adapted for these weather conditions, and thereby help in making better design decisions.

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Surface and Radar Observations of Winter Weather Conditions during Traffic Crashes in Northern Indiana

The Professional Geographer ◽

10.1080/00330124.2021.1895852 ◽

2021 ◽

pp. 1-12

Author(s):

Daniel Burow ◽

Hailey Marie Cantrell

Keyword(s):

Weather Conditions ◽

Winter Weather ◽

Traffic Crashes ◽

Radar Observations

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Testing of microencapsulated phase-change heat storage in experimental model houses under winter weather conditions

Building and Environment ◽

10.1016/j.buildenv.2021.108119 ◽

2021 ◽

pp. 108119

Author(s):

Bence Németh ◽

Aurél Ujhidy ◽

Judit Tóth ◽

János Gyenis ◽

Tivadar Feczkó

Keyword(s):

Phase Change ◽

Experimental Model ◽

Heat Storage ◽

Weather Conditions ◽

Winter Weather

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An IoT Platform for Epilepsy Monitoring and Supervising

Journal of Sensors ◽

10.1155/2017/6043069 ◽

2017 ◽

Vol 2017 ◽

pp. 1-18 ◽

Cited By ~ 19

Author(s):

Paula M. Vergara ◽

Enrique de la Cal ◽

José R. Villar ◽

Víctor M. González ◽

Javier Sedano

Keyword(s):

Monitoring Tool ◽

Design Decisions ◽

Iot Platform ◽

Depth Analysis ◽

The Everyday ◽

Different Types ◽

Main Factors ◽

Partial Implementation ◽

Epilepsy Monitoring ◽

Monitoring Platform

Epilepsy is a chronic neurological disorder with several different types of seizures, some of them characterized by involuntary recurrent convulsions, which have a great impact on the everyday life of the patients. Several solutions have been proposed in the literature to detect this type of seizures and to monitor the patient; however, these approaches lack in ergonomic issues and in the suitable integration with the health system. This research makes an in-depth analysis of the main factors that an epileptic detection and monitoring tool should accomplish. Furthermore, we introduce the architecture for a specific epilepsy detection and monitoring platform, fulfilling these factors. Special attention has been given to the part of the system the patient should wear, providing details of this part of the platform. Finally, a partial implementation has been deployed and several tests have been proposed and carried out in order to make some design decisions.

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Winter weather conditions and myocardial infarctions

Scandinavian Journal of Social Medicine ◽

10.1177/140349489101900104 ◽

1991 ◽

Vol 19 (1) ◽

pp. 20-25 ◽

Cited By ~ 7

Author(s):

Carl-Göran Ohlson ◽

Lennart Bodin ◽

Ing-Liss Bryngelsson ◽

Marie Helsing ◽

Lars Malmberg

Keyword(s):

Weather Conditions ◽

Myocardial Infarctions ◽

Winter Weather

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Factors of the safety in bicycle traffic in the City of Zagreb and its surrounding

Glasnik srpskog geografskog drustva ◽

10.2298/gsgd1403055s ◽

2014 ◽

Vol 94 (3) ◽

pp. 55-68

Author(s):

Josko Sindik

Keyword(s):

Weather Conditions ◽

Urban Traffic ◽

Questionnaire Study ◽

Local Authorities ◽

Driving Style ◽

Study Participants ◽

Risk Driving ◽

The City

The aim of this study was to determine the differences in underlying factors of Zagreb cycling, compared to the "types of cyclists" (driving style), i.e. different ways of using bicycles as a means of transport. The study included over 3,000 frequent participants in urban traffic cycling, sample of members of the association Cyclist Union (N = 1259) and snowball sample of "typical" of cyclists, i.e. people who are using the bike, but are not the members of the Cyclist Union (N = 1831), using the conveniently assembled questionnaire. Study participants who bike used in various applications prefer the safest driving style (only on sidewalks and bike paths / lines). Barriers of the weather conditions are ubiquitous in the safest driving style. Daily, weekly and yearly riding a bicycle are more often found in those who prefer the safest driving style. Cyclists who drive with medium secure style (roads with less traffic and lower speeds), more often ride a bike, as compared with those who prefer the safest driving style. Having a better bike line / track and other infrastructure is the most often considered at those with the highest risk driving style. The results provide the guidance for local authorities and for the cyclists to improve the conditions for a safer and more often by bicycle circulation in the City of Zagreb and its surroundings.

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Pengaruh Perceived Value Terhadap Loyalty dan Purchase Intention pada Ragnarok Mobile Game di Jakarta

Jurnal Manajemen Bisnis dan Kewirausahaan ◽

10.24912/jmbk.v3i6.6099 ◽

2019 ◽

Vol 3 (6) ◽

pp. 65

Author(s):

Diana Chandra didjaja Dan Yanuar

Keyword(s):

Purchase Intention ◽

Sampling Method ◽

Perceived Value ◽

Sem Analysis ◽

Growth Potential ◽

Mobile Games ◽

Mobile Game ◽

Descriptive Research ◽

Main Factors ◽

Area Data

Huge growth potential has been predicted for in-app purchases and the mobile game market but little is known about what motivates game players to make purchases in mobile game. This study aims to determine the main factors that can influence the purchase intention from players in Ragnarok mobile games. Based on previous research, this study revealed perceived value and loyalty of all players can attract purchase intention. This is a descriptive research by using questionaire which distributed to 120 respondents in Jakarta area. Data was collected by using non probability sampling method. SEM analysis were used for data analysis by using SmartPLS. From this study, it was found that variable perceived value and variable loyalty can influence purchase intention significantly. It was found that loyalty can be a mediator between perceived value and purchase intention.

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Case history of the Fortymile Caribou Herd, 1920-1990

Rangifer ◽

10.7557/2.14.1.1128 ◽

1994 ◽

Vol 14 (1) ◽

pp. 11 ◽

Cited By ~ 3

Author(s):

Patrick Valkenburg ◽

David G. Kelleyhouse ◽

James L. Davis ◽

Jay M. Ver Hoef

Keyword(s):

Case History ◽

Historical Data ◽

Herd Size ◽

Limiting Factors ◽

Winter Weather ◽

Winter Conditions ◽

The World ◽

History Of ◽

Alternate Prey

Early this century, the Fortymile caribou herd was the largest in Alaska and one of the largest in the world. Since the 1940s the herd has remained relatively small, fluctuating between 6000-8000 and about 50 000. To determine possible limiting factors, we reviewed historical fluctuations in herd since and harvest, historical data on wolf numbers and summer and winter weather. The major decline in herd size from 1963 to 1973 was accompanied by high wolf numbers, some years of unfavorable winter and summer weather, and some years of high harvests. From 1974 to 1990 the Fortymile herd failed to recover as well as the adjacent Nelchi-na herd and provided less than one-fourth the harvest despite favorable winter conditions in both areas. Two notable differences between these herds were that (1) wolves were less strongly limited within the range of the Fortymile herd, and (2) moose as alternate prey for wolves remained more abundant within the range of the Nelchina herd.

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Determining Effects of Winter Weather Conditions on Adult Amblyomma americanum (Acari: Ixodidae) Survival in Connecticut and Maine, USA

Insects ◽

10.3390/insects11010013 ◽

2019 ◽

Vol 11 (1) ◽

pp. 13

Author(s):

Megan Linske ◽

Scott Williams ◽

Kirby Stafford ◽

Charles Lubelczyk ◽

Elizabeth Henderson ◽

...

Keyword(s):

Leaf Litter ◽

Range Expansion ◽

Weather Conditions ◽

The United States ◽

Amblyomma Americanum ◽

Snow Accumulation ◽

Adult Survival ◽

Winter Weather ◽

Hourly Temperature ◽

Significant Difference

The lone star tick (Amblyomma americanum L.) is native to the United States, with its primary range encompassing the Southeast and portions of the Midwest. It is an aggressive ectoparasite that actively seeks out hosts through detection of carbon dioxide and vibrations and can transfer ehrlichiosis-causing bacteria as well as a carbohydrate that causes alpha-gal syndrome (red meat allergy) in humans. It has become of increasing concern as its range has recently expanded into coastal regions of the Northeast. Historically, harsh northeastern winter weather conditions made these areas inhospitable for A. americanum survival, but a warming climate coupled with increased host availability seem to have facilitated their range expansion. We developed a study to observe the effects of weather conditions on adult A. americanum overwintering survival. The study was conducted over three years in Connecticut and Maine. Ground-level conditions were manipulated to determine the effects of differing combinations of natural insulative barriers (leaf litter and snow accumulation) on adult A. americanum survival. We determined that there was a significant difference in survival between the two states, between years in Maine, and between sexes within Connecticut. However, presence or absence of snow and/or leaf litter had no impact on survival. Overall, we found a positive correlation between mean hourly temperature and adult survival in Maine, where temperatures were consistently below freezing. The results of this study can be included in an adaptive, predictive analytic model to accommodate the expected fluctuations and range expansion of A. americanum that will most likely accompany an increase in temperatures throughout the Northeast.

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