flow

Viral promotional advergames combine a promotional game with an advergame in a viral marketing campaign, aiming to encourage customer word of mouth, so that customers become willing promoters of the related brand. When designing a viral promotional advergame, marketers focus on game schemes and prizes to trigger players' intrinsic and extrinsic motivations and elicit certain behavioral responses, such as sharing personal data and forwarding the game. Therefore, the current research aimed to investigate how intrinsic playfulness and the extrinsic value of prizes affect people's behavioral responses. This research used data from pre-measure and post-measure assessments within a real viral marketing campaign. This field study examines the factors that lead to behavioral reactions in these types of games. In this connection, Poisson regression was used to investigate the effect of perceived playfulness and the perceived value of prizes on the variable of game forwarding, while logistic regression was used for the variable of personal data sharing.

In this research, data were collected using pre-measure and post-measure assessments within a real viral marketing campaign. This field study examines the factors that lead to behavioral reactions in these types of games. Poisson regression was used to investigate the effect of perceived playfulness and the perceived value of prizes on game forwarding, while logistic regression was used to analyze personal data sharing.

The results showed that perceived playfulness is positively related to both game-forwarding and personal data-sharing behaviors. Games that evoke higher levels of enjoyment and concentration make players more inclined to share their data and forward the game. While the perceived value of prizes has a positive and significant effect on game forwarding by players, it does not significantly affect personal data sharing. Additionally, prior brand attitudes moderate the effect of the perceived value of prizes on game-forwarding behavior. Players with greater intrinsic enjoyment and psychological immersion tend to invite more people to the game and share more personal data about themselves. Perceived reward value is positively related to game-posting behaviors, though it is not related to personal data sharing. That is, players appear to communicate more about the game when extrinsically motivated but are less likely to share personal data with the brand. On the other hand, extrinsically motivated players still have significant privacy concerns. In contrast, perceived playfulness is positively related to personal data sharing, suggesting that fully immersed players tend to "lose themselves" and forget their more conscious concerns (consistent with definitions of escapism). As a result, they seem more likely to share personal data with the brand. Another interesting finding is the absence of a reciprocal relationship between intrinsic and extrinsic motivation concerning both behaviors. This may be due to the complexity of external rewards in this study.

Companies that want to obtain customers' personal information should focus more on designing game elements than on prizes, as the perceived value of prizes does not seem to have a significant effect on sharing personal information. Games must also be designed to induce psychological immersion in players—that is, game design elements must optimize the Flow state. Companies that want to encourage players to share their game should focus on both game design and prize placement, with prizes offered at different value levels to influence player evaluations.

The purpose of this research was to investigate the role of Flow theory in viral promotional advergames with an emphasis on sharing personal data and forwarding the games. Using a viral marketing campaign, 393 out of 765 participants clicked on the game link sent via email, But 288 people participated in the game, 141 people answered the questions, invited their friends to the game, or shared their personal data. Poisson regression was used to investigate the role of Flow theory on game forwarding, and logistic regression was used on sharing personal data through Eviews software. Players with intrinsic enjoyment and psychological Flow (dimensions of Flow) tend to invite more people to the game and share more personal data about themselves. Perceived reward value is also positively related to game forwarding behaviors, although not related to sharing personal data. That is, players seem to communicate more about the game when they have extrinsic motivation (rewards), but are less likely to share personal data with the brand. On the other hand, extrinsically motivated players still have significant privacy concerns. In contrast, Flow is positively related to sharing personal data, suggesting that fully immersed players tend to "lose themselves" and forget about their more conscious concerns and thus appear more likely to share personal data with the brand. Companies that want to capture customers' personal data should focus more on designing game elements than rewards in such a way as to stimulate the psychological Flow of the players.

Movment on slopes under titles such as flows, landslides, and topplings are phenomena that occur on natural and artificial slopes in the event of the creation of appropriate conditions. Therefore, in order to counteract and eliminate the adverse effects of these phenomena, slopes must be studied in such a way that in the first stage, the occurrence of such phenomena on slopes is prevented, and in the second stage, if this occurs Phenomena can be minimized with the proper prediction of adverse effects after thinning. To do this, it is necessary to make the slopes before they are created, taking into account geological information of the region, geomechanical information of the region, the weather conditions of the region and the hydrological information of the region. In the Pahlat area, after the road spread, a slope has been created, which, after several years, the slope material began to move and almost entered the road. In this paper, this motion has been analyzed by studying the aerial photos of the region, regional weather changes and mathematical methods of slope stability analysis. In this paper, we have tried to provide a suitable method for stabilizing this slope

Control the pre timing of traffic signals has many advantages because of its responsiveness to traffic demands, short cycles, and effective use of capacity leading to and recovering from oversaturation and amenability to aggressive transit priority. Coordination between intersections in a central system increases capacity, appropriate traffic flow and reduce total delays of vehicles.scats system has been installed in many world intersections and many researchers have done about the advantages of it to decrease delays and travel times at intersection. SCAT is a modular system and development of this is possible. Now in Tehran's this system is used and traffic conditions matches on it. Traffic signal timing schedule give in this system as default and although this system is capable of adapting to the moment traffic but in terms of super saturation and during peak hours due to the lack of optimization, default program around intersection has caused widespread congestion at intersection. In this paper, 2 intersections of East and West of Tehran have been selected, and in two different situations the flow to capacity ratio of traffic signal timing has been investigated before and after optimization. Simulation by AIMSUN and optimization by SYNCHRO software is done. After optimization can be observe that if before the pre-defined schedule for SCATS, this plan for each intersection of the volume of traffic at peak hours have been optimized, a great reduction in delay and increase in capacity can be observed at intersections. For example, delay time reduction has been occurred about 14.77 in AM peak time and 12.65 in PM peak time at GOLBARG-DARDASHT intersection.

Characteristics of traffic flow depend on driver behavior, vehicle specifications, highway characteristics and the interaction between these factors. Despite all similarities between characteristics of passing vehicles and geometry of highways, the characteristics of traffic flow are not necessarily the same. The differences may be attributed to the differences in behavior of drivers. Since 1934, different models have been suggested to predict characteristics of traffic flow. However selecting the best model, indicating the relationship between different parameters of traffic flow has ever been challenging. This is mainly because of the difference in behavior of drivers in different conditions. This paper investigates the speed-density relationship according to behavior of local drivers. In this research, more than 4 million records of traffic data are studied and analyzed in Qom-Tehran Freeway. Information of traffic counting is gathered by means of inductive loop detectors in both directions per each lane. Based on this information, different Speed-Density models are calibrated, analyzed and compared with previous models. However a multi-regime linear model with different slopes at break point has been suggested. According to the results, weighted average of speed variance in densities less than 7 pc/km/ln is nearly 30% less than the corresponding value in densities more than or equal to 7 pc/km/ln. Analysis show that regression errors in proposed model and Green shields model are 0.8% and 9.6% respectively when the density is less than 7 pc/km/ln and 1.7% and 47.3% respectively when the density is more than or equal to 7 pc/km/ln. This suggests that presented models in this research, are better describing the flow situation in Qom Tehran freeway, than the Green shields model.