In many sports, fast and efficient perception of various visual stimuli has high impact on the performance of an athlete (Hüttermann et al., 2018; Jendrusch, 2011; Jin et al., 2011). Especially in fast team and racket sports, the outstanding speed and ball velocities present a minimal time frame for the motor response of a player, e.g. the defence of a spike in volleyball or the action of the goal keeper in handball. In these game situations, successful motor reactions are hardly possible without an efficient perception and anticipation of the opponent´s actions, because the flight time of the moving object is shorter than the physiologically required time for information processing (Müller & Abernethy, 2012). In badminton, e. g., world class players generate shuttle velocities of more than 100 m/s (Gawin, Beyer, Büsch, & Høi, 2012). The defending player must begin his action before the shuttle trajectory is clearly visible. Otherwise, the remaining time is insufficient to perceive and process the information and to initiate the motor response to intercept the shuttle at the anticipated point of contact.
The importance of visual perception for performance in elite sports is highlighted in a quickly increasing scientific body (Klostermann & Moeinirad, 2020). Commonly, the characteristics of visual performance are studied by comparing the visual strategies of experts and non-experts (Hüttermann et al., 2018; Mann et al., 2007; Vickers & Adolphe, 1997). Aspects of superior perceptual-cognitive performance of expert performers are higher response accuracy, faster reaction time, and different gaze behavior (Gegenfurtner et al., 2011; Mann et al., 2007) and many studies have revealed significant performance differences between experts and non-experts for these aspects (e.g., Mann et al., 2007; Rienhoff et al., 2016; Vickers, 1996, 2016).
Regarding response accuracy, there is evidence that experts react more accurately than non-experts in specific game situations. For example, highly skilled badminton players are able to anticipate the trajectory or direction of a shuttle more precisely than less skilled players by “reading” the movement of the opponent at an early state of action (e. g., Abernethy & Russell, 1987a; Hagemann & Strauß, 2006). This superior perception is based on different utilization of relevant information from visual cues. Non-experts commonly observe the movement of the racket to anticipate the shuttle´s trajectory, whereas experts pick up information about the intended action at an early stage by recognizing the movements of the playing side arm (Abernethy & Russell, 1987b). This strategy enables them to calculate the appropriate response earlier and their prediction of the ball´s trajectory will more likely be correct.
Another performance factor is response time. Experts show significantly shorter response times - the time interval necessary for perception, information processing and the start of the motor response - than non-experts (Mann et al., 2007; Gegenfurtner et al., 2011). There is consistent evidence that highly skilled athletes terminate decision making earlier and, therefore, reach the required position, e. g. when defending a spike in volleyball or a penalty throw in handball “just in time” (Hossner et al., 2014; Lienhard et al., 2013; Schorer, 2006).
Highly skilled volleyball players finalized the decision for motor response at an earlier point of time and therefore more accurately than less skilled players, but commonly commenced the motor response later (Hossner et al., 2014; Lienhard et al., 2013). Research by Vickers and Adolphe (1997) revealed similar results. Expert volleyball players initiated the motor response at a later point of time when receiving a service than near-experts (Vickers & Adolphe, 1997). The less skilled players changed their position even before the server made contact with the ball, while the experts remained in the receiving position longer while tracking the oncoming ball.
Goalkeepers at a high performance level in handball also started their motor response later than non-experts (Schorer, 2006). This behavior enabled them to initiate the movement just in time, allowing them to execute the motor task successfully. Initiating movement too early would have allowed the opponent to change their strategy. According to Schorer (2006), this “just-in-time” reaction indicates an essential skill of high performing athletes in sports that afford a complex timing.
These observations are associated with motor tasks in which a player must reach a ball or the required position of the anticipated motor action just in time. However, demands differ in game situations in which athletes have to act as quickly as possible - as in many typical game situations in badminton. For example, the service return in the doubles disciplines requires starting the movement towards the shuttle as soon as possible (Gawin et al., 2013). Such game situations differ fundamentally from the just-in-time paradigm. The motor response must not only be started just in time, but immediately. There is also evidence that experts reach the required position faster than non-experts because of their superior anticipation (Mann et al., 2007).
Another aspect of gaze behavior concerns gaze strategies. The large number of studies in this field and the increasing heterogeneity of results caused Klostermann and Moeinirad (2020) to review the state in gaze behavior research in the recent decades. Considering at least 81 studies, they extracted four “main gaze variables” (Klostermann & Moeinirad, 2020, p. 153), number and duration of gaze fixations, location and duration of the final fixation (Quiet Eye, QE). Relatively consistent results have been published in the recent years for the last two variables - the gaze location and QE, for example, that expert athletes focus different visual cues when compared to less skilled performers and that they utilize longer final fixations.
The QE phenomenon seems to be consistent across many domains of sport. Mann et al. (2007) list publications about QE in various sports, such as rifle shooting, billiards, golf, volleyball, or basketball. For further information about the Quiet Eye theory, please see Gonzales (Gonzalez et al., 2015), Vickers (2016) , Mann et al. (2007), or the review by Rienhoff, Tirp, Strauss, Baker and Schorer (2016) .
The gaze location, an athlete focuses central-foveal, is assumed to contain task and decision-relevant information (Nakashima & Kumada, 2017). There is evidence that a specific gaze strategy is related to performance, and that there are differences between experts and non-experts (e. g., Gegenfurtner et al., 2011; Hubbard & Seng, 1954; Land & Tatler, 2001; Savelsbergh et al., 2002; Vickers, 2006; Vickers & Adolphe, 1997). Especially in interceptive sports, like net or racket games, superior gaze strategies are assumed to strongly influence performance. Perception, information processing, and initiating the motor response are all one process, which causes a minimal time frame and high time pressure. Therefore, many studies deal with the analysis of gaze behavior of athletes in racket or net sports, e. g. baseball, tennis, table tennis or badminton:
Long before mobile eye trackers were introduced, Hubbard and Seng (1954) analyzed the gaze behavior of professional baseball batters. They could show that the participants initially fixated the trajectory of the oncoming ball but then stopped the eye movement before hitting the ball at a region before the point of contact. This outcome was confirmed in a study involving volleyball by Vickers and Adolphe (1997) . Highly skilled athletes in volleyball differ from less skilled athletes in their gaze strategies when receiving a service. Like the baseball players, the experts stopped their eye movement before the point of contact. Near-experts, in contrast, followed the trajectory of the ball more frequently until the ball made contact with the lower arms (Vickers & Adolphe, 1997).
Studies in the fields of tennis and table tennis focused on the question of how the ball was observed during and after the execution of the opponent´s action (e. g., Lafont, 2008; Ripoll & Fleurance, 1988; Rodrigues et al., 2002). Apparently, experienced table tennis players merely directed their gaze at the ball in the initial phase of the trajectory when receiving the ball laterally (Ripoll & Fleurance, 1988; Rodrigues et al., 2002). After that, the gaze was oriented towards a space that was located in front of the anticipated trajectory or at the region of ball contact (Ripoll & Fleurance, 1988). This result, again, was considered a confirmation of Hubbard and Seng’s findings (1954) , highlighting the conclusion that experts seem to be able to execute a successful stroke without constantly tracking the ball.
To analyze the service situation in badminton, Alder et al. (2014) combined the measurement of kinematic data and eye movements of elite and less skilled badminton players (Alder et al., 2014). The aim was to uncover the kinematic parameters that provide early information about the intention of the server. For this purpose, the serves of elite badminton players were videotaped and the kinematics were analyzed. These video scenes subsequently served as stimuli in a life-size temporal occlusion test while the gaze behavior of the receiving players was measured. Analyses revealed that professional badminton players more frequently directed their gaze to the racket and the racket wrist of the server than less skilled players, who tended to fixate the shuttle (Alder et al., 2014).
The service situation in elite badminton doubles has undergone in-depth analyses because this game situation has a profound impact on performance during competitions (Li, 2005; Liu & Zheng, 2009; Tian, 2004; Zhong & Xie, 2008). About one third of all points in doubles matches are initiated or made in the service situation comprising at least service, return, and second return (Gawin, Beyer, Büsch, & Hasse, 2012). Basically, the server has the choice between two tactical options - a low short service and a so-called flick serve to the rear court (figure 3). The returning player should anticipate the intention of the server and execute his movement towards the shuttle as quickly as possible to hit the shuttle in a superior position for an offensive return. Top players need about 300 ms to reach the shuttle after a short serve, and it has been found that successful elite male players make contact with the shuttle significantly faster when returning the service (Gawin et al., 2013).
Many of the studies above, especially those dealing with gaze behavior in badminton (Abernethy & Russell, 1987a, 1987b; Alder et al., 2014), were conducted using two-dimensional video sequences as stimulus material. However, according to Shim and colleagues (Shim et al., 2005) and Mann et al. (2007) , there is evidence that using two-dimensional video footage as stimulus affects the outcome of the analysis of real-world tasks. It is likely that participants show different visual search behavior when faced with real opponents in their natural environment. Moreover, the review article by Hüttermann and colleagues (2018) summarizes that 69 % of the eye tracking studies considered were carried out in the lab. In the majority of these studies, athletes had to react to stimuli on a video screen. Even some research under field conditions, e. g. Alder and colleagues (2015), did not use real opponents but rather man-sized video screens on the court. These experimental conditions are likely to bias the outcome of these studies and the transfer to the natural environment to develop practical implications (Hüttermann et al., 2018). Therefore, since stimuli are presented in a laboratory setting and lack one dimension, one might challenge the assumption of addressing the specificity of the experts’ skills. The same applies to the required motor responses presented in many studies.
Meanwhile, it is possible to measure the gaze behavior of players under real-world conditions using mobile eye-trackers, and it can be supposed that measurements on court with real opponents will lead to divergent results compared to applying only video-based stimuli.
In the first step, the objective of this study is to reveal efficient gaze strategies of athletes in relevant game situations by identifying the strategies of elite performers (players competing at an international level) in comparison to players of an intermediate level of play. In a second step, the influence of the gaze strategies on situation-specific performance in elite badminton players will be analyzed to develop practical implications.
Therefore, the gaze behavior of elite badminton players and intermediate club level players in the game situation service return was investigated in the first part of the current study. In the second part, the motor performance of the elite players was measured, and the correlation between their gaze strategies and their performance during the service return was analyzed. According to the studies in racket sports listed above, it was hypothesized that…
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…elite badminton players are more likely to focus on peripheral segments of the opponent, such as the playing side arm, the racket, and wrist, when preparing for their motor response, while less-skilled players focus more frequently on the shuttle, and
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…that the gaze strategies of elite players are related to their specific performance in the rally opening situation.