If we limit ourselves just to react to the actions executed by others while we ski it would be complex sharing the slopes in a coordinated manner.
According to several studies, we tend to perform internal action simulations to predict the actions of others on the slopes. Motor experience studies have shown that we are more accurate in predicting those actions that we ourselves are capable of executing. Predicting and simulating are intimately related processes, intervening in the ability to respond to the actions of other people.
The common coding is based on the assumption that our own actions and the actions of others are encoded in a common representational area (Prinz, 1990 & 1997). Planning a certain action and the observation of its execution in other people might as well be the same regarding the relationship with the motor system. This encoding would make possible the prediction of ‘what’, ‘when’, and ‘where’ of actions executed as a whole. Although this mechanism would work, it is not the only one involved in the activity that skiers and snowboarders do on the slopes, which is considered to be a joint action.
‘What’ refers to the type of action that others will do according to their intentions. To predict them, it should be first understood what they are doing at that precise moment and how they may proceed. Knowing the maneuvers of other people allows simulating what they are going to do with the actions that are currently executing. This means that we can quickly adjust or compensate for the mistakes of others or initiate actions to avoid them (Sebanz and Knoblich, 2009).
‘When‘ represents the temporal action’s coordination. ‘Where‘ applies to the distribution and the sharing of common physical space in which actions are developed. These are based on dividing up common areas, avoiding collisions, and knowing to determine if paths are directed towards common targets. Sharing the same places in a slope means that we must predict where we are moving and where the objects are in the environment. The spatial relationship between Self, the others, and objects is a reference used to keep sufficient distance.
Different studies about common actions have determined the following:
- Looking the actions of another skier affects ours.
- When we are not intended to carry out any action in particular, observing the actions of the others predisposes us to perform the same actions.
- Our perceptive assessment, i.e. the judgment which is made on the actions of others, is affected by our own actions that are underway at that time.
This mirror functioning occurs when we look the actions of others, the same groups of neurons are fired: the ones of the action and the ones of the observation. This mechanism is useful in learning new motor behaviors by understanding the actions of others. Mirror neurons are utilized to represent the use of the common space of a slope, allowing the actions of others to have meaning while observing them. This neuronal activity would consent to acquire a notion of other people’s intentions, i.e., would predict what would be happening in their minds based on our own actions and how we monitor their actions.
To predict, anticipate, and prevent the actions of other people we base on predictive mechanisms by simulating their actions through parallel simulations, according to Keller, Knoblich & Repp (2007), i.e., at the same time that we do with ours, we also predict in a coordinated manner the actions of others.
Considering that on the slopes we proceed on the basis of the effects our own actions will produce, then predicting other people’s actions allows the following:
- Acting coordinately, synchronized, or alternated bringing certain complexity if time and/or space available are limited.
- Risk perception applies to avoid not only the potential dangers of the environment but also the maneuvers of the other skiers and snowboarders.
- Speed and distance perception includes our own speed and that of the others in terms of accelerations and decelerations, braking mechanisms (our own and others’), as also the prediction of time to contact on a possible collision.
- Self-efficacy, i.e. our own belief in the capacity to reduce speed, braking reaction, or change of trajectory in extreme situations.
- Visual perception involves visual anticipation not only about own trajectories but those of others as well. The degree of control of tunnel vision, especially while skiing fast; the predisposition of the target fixation, that is, fixing our gaze on the person instead of towards the adjacent space to avoid it; the perception of figure-ground contrast (people who are close and others that are further in our visual scene) that may alter our visual perception because we alternate our visual fixation between the two; the interconnection between looks help to simultaneously predict actions between two people; and the influence of the inhibition of return comply with an essential role in predicting the actions of others.
- Auditory perception influences the prediction of the distance of someone who, upon hearing the noise produced, approaches us without being seen.
- The decision-making mechanism is also collaborating, especially rapid decisions depending on the experience in similar situations. This is a complex cognitive process that results in the selection of a belief or a course of action among several alternatives. It is influenced by a large number of factors including past experiences, decision complexity, emotions, and cognitive biases.
- Spatial coordination skills as determining open spaces.
- Cognitive and emotional level as expectations, paying attention if the other is paying attention to his/her own actions (joint attention), the simulation of the other’s actions, and the mental representation related to the motor interaction with others are all essential mechanisms to predict their actions.
Framework Matrix of Predicting Peoples’ Action on the Slopes
| Skiing Concept / Technique | Neuro-Simulative & Mirror Coding | Spatial Distribution & Proximity Control | Visual/Auditory Sensory Mode | Cognitive Risk & Decision Response |
| Internal Action Simulation | Rehearsing observed maneuvers within the internal motor system | Predicting exact trajectory path alterations of nearby skiers | Real-time observation of hip translation and legs’ angles | Pre-empting collisions by simulating the other person’s execution limits |
| Motor Capability Synergy | Restricting prediction accuracy to self-executable maneuvers | Estimating turn radius capabilities of surrounding skiers | Visual tracking of edge engagement depth on adjacent tracks | Matching external movement profiles against personal motor memory |
| Common Coding Schema | Encoding observed actions and planned actions in a shared representational area | Allocating physical buffer zones based on shared motor plans | Mapping ‘what’, ‘when’, and ‘where’ of collective movement | Streamlining multi-skier flow via unified cognitive representations |
| Joint Action Modeling | Simulating ongoing maneuvers to predict future progression | Distributing the physical slope layout dynamically among users | Scanning the slope sector to read collective crowd behavior | Shifting from individual movement execution to cooperative trail sharing |
| Intent Execution Tracking | Decoding the ‘what’ phase of an observed skier’s intent | Adjusting personal turn shape to compensate for others’ mistakes | Dissecting immediate body position cues to predict next moves | Initiating early tactical line changes to bypass unstable skiers |
| Temporal Coordination Timing | Synchronizing the ‘when’ parameter of joint turns | Maintaining rhythmic interval separation inside narrow corridors | Acoustic and visual timing of parallel turn completions | Executing precise phase-locked or alternated turn sequences |
| Space Sharing Distribution | Visualizing the ‘where’ matrix of shared trail zones | Dividing up common areas to actively eliminate overlapping paths | Continual scanning of intersections and trail merger zones | Determining if convergent paths are directed toward common targets |
| Triadic Spatial Reference | Mapping the physical relationship between Self, Others, and Objects | Maintaining strict safety distances from skiers and obstacles | Calculating closure rates based on relative body positioning | Grounding tactical line choices in the immediate self-other-object triad |
| Action Involuntary Mimicry | Firing mirror neuron groups via observation without explicit intent | Subconscious drifting toward the observed skier’s path | Gaze-driven mirroring of an uncommitted observer’s posture | Counteracting the instinctual drive to replicate uncoordinated moves |
| Perceptive Assessment Bias | Modulating external judgment based on current internal actions | Constraining path corrections to the limits of the active turn | Intercepting incoming sensory data with ongoing muscle tension | Recognizing that active execution alters the perception of others |
| Parallel Simulation Engine | Simulating others’ movements simultaneously with personal actions | Coordinating multi-skier line selections in real time | Dual-stream processing of self-motion and external motion | Managing complex trail traffic via concurrent mental tracking |
| Constrained Spatio-Temporal Sync | High-frequency neural processing under extreme constraints | Navigating tight chokepoints, cat tracks, and lift lines | Rapidly shifting focus between adjacent skiers in close quarters | Deploying highly compact, synchronized, or alternated turn shapes |
| Dynamic Risk Perception | Projecting the future effects of external maneuver errors | Formulating clear escape lines around erratic snowboarders | Spotting sudden edge-catches or wipeouts ahead in the zone | Expanding safety margins beyond basic static obstacle avoidance |
| Velocity/Distance Tracking | Assessing relative accelerations and decelerations | Calculating time-to-contact matrix on intersecting lines | Monitoring the distinct scraping sounds of sudden braking | Modulating personal speed to stay behind sudden speed scrubbers |
| Self-Efficacy Assessment | Instantaneous retrieval of high-stress motor programs | Executing emergency deceleration or a hard trajectory pivot | High-speed monitoring of edge grip limits during slide-slips | Trusting personal capacity to brake or swerve in extreme contexts |
| Visual Anticipation Mastery | Projecting dual overlapping trajectory corridors ahead | Selecting clear exit doors between moving groups of skiers | Broad-angle scanning to capture peripheral trail entries | Actively breaking focus on immediate tips to look down-trail |
| Tunnel Vision Control | Mitigating high-speed optical narrowing tendencies | Preserving wide-track situational awareness at high speeds | Maintaining peripheral field tracking despite elevated velocity | Consciously forcing lateral eye movements during fast descents |
| Target Fixation Elimination | Suppressing the instinctual drive to look at the hazard | Steering directly into the adjacent open space to avoid contact | Forcing the gaze away from the falling skier ahead | Directing the eyes and body toward the clean escape corridor |
| Figure-Ground Contrast Shift | Alternating visual fixation between foreground and background | Structuring deep depth-of-field spatial intervals | Separating close-range hazards from long-range traffic | Maintaining visual acuity across changing light and crowds |
| Interconnected Look Synch | Exchanging brief eye contact to establish mutual intent | Cross-coordinating crossing patterns at intersection junctions | Catching the head tilt of an uphill skier entering the trail | Simulating actions mutually through reciprocal visual links |
| Inhibition of Return Protocol | Preventing re-fixation on recently checked trail sectors | Scanning fresh terrain spaces rather than cleared zones | Systematic sweeping of the eyes across the entire hill width | Optimizing search efficiency by omitting processed targets |
| Auditory Distance Prediction | Processing acoustic frequency changes of tracking skis | Estimating proximity of blind-spot overtaking skiers | Interpreting snow-carving pitch and edge-scrape volume | Selecting line adjustments purely based on rear acoustic data |
| Rapid Decision Selection | Retrieving automated schemas from past trail conflicts | Instant selection of an alternate line among several choices | Filtering terrain data through seasoned experiential lenses | Suppressing emotional panic to run optimal collision-avoidance logic |
| Open Space Identification | Cognitive mapping of low-density corridor variables | Directing skis toward highly dynamic, unpopulated gaps | Real-time calculation of opening and closing terrain windows | Selecting the safest lane within a crowded trail layout |
| Joint Attention Monitoring | Evaluating if the other skier is paying attention to one´s actions | Steering defensively around distracted or blind users | Reading body language clues that indicate a lack of awareness | Modulating proximity based on the observed skier’s focus level |
