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While very useful for athletes, the ever-growing use of digital technology in sport can come with downsides, one of which is ‘technostress’. SPB looks at new research on this phenomenon and the warning signs to watch for
From simple bike computers to GPS devices and power metering systems, it’s never been easier to monitor your performance and collect data to help you plan your future training sessions. Many athletes who use this technology find it extremely useful and it popularity is unlikely to falter, especially as the increasing use of artificial intelligence (AI) is set to extend and broaden its capabilities.
Despite the undoubted benefits of using digital technology in training and racing, more recent research has begun to emerge that it can also come with pitfalls. You might think that pacing a time trial or tailoring a strength-training session with the use of digital monitoring and feedback information will always put athletes at an advantage. Surprisingly however, this is not always the case. For example, some research on cyclists and electronic feedback carried out in 2016 (which we reported at the time) found that providing this feedback didn’t necessarily improve performance(1).
When cyclists who didn’t receive any feedback during a time trial were compared with those who were able to continuously consult feedback information on speed, heart rate, power output, cadence, elapsed time, and elapsed distance during their time trial, the cyclists using feedback did not perform significantly better than the no-feedback group - nor was there any real difference between the average power outputs per kilo of body mass of the two groups! Moreover, the perceived ratings of exertion for the time trial were the same regardless of whether the cyclists had feedback or not.
This research suggested that experienced cyclists were able to use simple bodily and environmental information - eg “How am I feeling and how hard am I breathing?” - to control and adjust their effort levels and achieve comparable time trial performances to when feedback was available. Indeed, the researchers concluded by questioning the necessity of the presence of in-race instantaneous task-related feedback via electronic devices for maximising performance.
Similar findings emerged from a 2020 study on club-level cyclists who completed two 20km time trials on different days, one with feedback (power output, cadence, gear and heart rate) and one without feedback(2). Once again, neither time-trial performance nor pacing behaviour were statistically different between the feedback and no feedback trials. Furthermore, the perceived exertion of the cyclists between their feedback and no feedback trials was no different.
Another 2020 study compared different modes of feedback (multiple vs. single) on 30-minute cycling time-trial performance in cyclists and triathletes(3). Ten non-cyclists and 10 experienced cyclists/triathletes each performed two 30-minute self-paced cycling time-trials separated by 5-7 days, either using a single feedback (elapsed time) or multiple feedback modes (power output, elapsed distance, elapsed time, cadence, speed, and heart rate. The fascinating finding was that while the non-cyclists’ performances did not differ between multiple and single feedback trials, the cyclists/triathletes’ time-trial performances were very significantly impaired with multiple feedback (227 watts) compared to single feedback (287 watts), despite adopting and reporting a similar pacing strategy and experiencing similar perceptual responses.
How could having access to a large amount of information feedback act to impair time trial performance? Researchers believe this occurs via an ‘interference effect’. Prior research shows that in physically and mentally demanding dual-tasks such as endurance cycling time-trials, when complex cognitive tasks are also given during that task, mental fatigue can occur more rapidly, which causes a reduction in exercise intensity(4,5). As a consequence, the study authors recommended that “overloading athletes with feedback is not recommended for cycling performance”
The interface between the brain and the environment in which we are in is complex. However, as noted above, when the brain has a process a large amount of information, the cognitive loading can have negative performance effects. Therefore, it’s clear that while offering many potential performance benefits, digital technologies can in some circumstances impact athletes negatively. While there’s little research on this aspect of technology from the field of sports, the concept of ‘techno-stress’ causing by digital data overload is something that has been well recognized in the general population for over a decade(6). Information overload resulting in technostress is not just about potential performance losses at the time, for example when monitoring data during a time trial. It is actually a much broader concept leading to many other consequences such as relentless psychological pressure to perform, or negative emotions when comparing your data to that of others.
To try and lift the lid on the phenomenon of technostress and how it might arise and impact athletes, a team of German researchers has published a recent paper on this topic(7). Published in the journal ‘Frontiers in Sport and Active Living’, this research investigated how the technostress can specifically affect athletes - in particular the unintended side effects of self-tracking in cycling and triathlon, and to identify stress factors that can have a negative impact on athletes’ willingness and ability to perform.
To carry out this investigation, they used something called the ‘transactional stress model, which explains the development and coping process of stress(8). The model shows how stress reactions are shaped by the interplay of sequential and parallel processes, and where cognitive evaluation processes play a central role in determining how individuals interpret and react to stressors (see figure 1). Thus, the same stress factor(s) can be evaluated differently by different people, which leads to various stress reactions. This individual and subjective nature of the stress experience is a core aspect of the transactional stress model.
Using data gained from workplace studies, the researchers determined the sources of stress that can arise from the use of digital technology. These are shown in table 1 below. Of these, certain stress factors are also potentially relevant to athletes. In the table, these are shown in CAPS.
Factor |
Description |
Invasion |
Includes all factors in which information and communication technology (ICT) leads to or facilitates conflicts between the digital and offline worlds. This impairs the desired demarcation of an area of life without the influence of ICT. Invasion can create the feeling of having to be constantly available, having a high level of responsiveness or being permanently confronted with information and communication technologies. |
OVERLOAD |
Describes the stressful situations that can arise due to the large number of tasks and external requirements in the context of using information and communication technologies (ICT) and thus overtax the user. |
COMPLEXITY |
Arises when the complexity of the usability of ICT is considered too high to be mastered with one’s own skills and resources. As a result, users are forced to compensate for the mismatch between skills or knowledge and the given requirements. |
Insecurity |
Describes the fear of losing one’s job due to advancing digitalization and automation. These ICT factors threaten users’ future prospects by fueling fears of being replaced by more tech-savvy colleagues or new technologies, which severely affects job security. |
UNCERTAINTY |
Describes the constant challenge of dealing with the fast pace and frequent changes in technology that affect users of ICT. This uncertainty is compounded by the need to continuously learn and upskill in order to keep pace with the constant changes and updates in technology. |
UNRELIABILITY |
Describes the burden placed on users by unexpected errors in information and communication technologies. These errors can be, for example, system crashes, unstable applications or long loading times, which promote the perception that ICT is unreliable. Such unpredictable malfunctions affect the user experience and the handling of ICT |
Interruption |
In the work task caused by the transmission of spontaneous messages (such as e-mails, phone calls, etc.) and information can trigger stress. |
DISCLOSURE |
Describes the fear that one’s own privacy will be violated by the use of information and communication technologies at work or in the private sphere, for example due to unclear data protection settings or a lack of transparency in data processing. |
Role ambiguity |
Describes an unintentional postponement of the actual work task when digital technologies fail at the workplace and the malfunction has to be rectified by the employee’s own efforts. |
PERFORMANCE MONITORING |
Describes the fear of being constantly monitored and evaluated by information and communication technologies in the workplace. |
UNAVAILABILITY |
Describes the feeling of not being able or allowed to use digital technologies that could, for example, make it easier to solve problems or delays in the work process |
LACK OF SUCCESS |
Describes a subjective feeling of achieving little or no progress in work through the use of digital technologies, as digital progress can sometimes be less visible. |
SOCIAL PRESSURE |
Describes situations in which individuals are pressured by their social environment to use information and communication technologies in a certain way or to adopt certain behaviors. |
*table adapted from Werner et al(7)
Having done this, the researchers then combed the literature for documented negative effects that can arise when athletes use self-tracking technologies. The (extensive) list of key effects they arrived at was as follows (see the scientists’ published study for a comprehensive list and source references):
· Reduced enjoyment of movement and the environment.
· Loss of intuitive body awareness of the signs of health and illness or devaluation of one’s own subjectivity and inwardness.
· Perception of being dominated or controlled by numbers.
· Emotional stress as a result of a feeling of pressure from continuous activity.
· Frustration caused, for example, by a different experience between the data obtained and personal perception.
· Development of a dependency on self-tracking technologies.
· Negative emotions resulting from the interpretation of individual performance data. Emotions can range from joy and pride to anger, shame and guilt.
· Mobilization through special application offers, such as memory functions and performance comparisons as well as an increase in social control over (sports) behaviour.
· Sports addiction, which expresses itself in an excessive urge to exercise.
· Transformation of sports practices through the inclusion of self-tracking technologies, towards digitally measurable activities.
· Virtualization of interpersonal relationships leading to reduced human interaction, as people connected through digital self-tracking technologies rather than training together - eg by establishing digital sports-related competitive relationships through the publication of personal performance data on digital (sports) platforms.
In the second part of the study, the researchers conducted in-depth interviews with amateur, competitive triathletes who used digital tracking technology. The purpose was to try and verify which of the above findings in the literature were particularly relevant to actual practicing athletes as determined by athletes themselves – ie not by researchers drawing conclusions from previous data. A total of over 17 hours of audio material from qualitative interviews with 13 athletes was analyzed. The average duration of the interviews was 80 minutes, and all recorded interviews were converted into writing using speech recognition software. The transcripts were processed using content analysis software, and the transactional stress model was applied to categorize responses into primary and secondary appraisals of technostress.
When the information from the athletes’ interviews was coded and analyzed, there were a total of 16 stress factors that emerged as a result of using digital technology, eight of which - information overload, distraction, unavailability, loss of control, lack of sense of achievement, unreliability, complexity and self-monitoring - were already known from the workplace context but were now being observed in the sports context. In addition, eight new stress factors specific to performance-oriented amateur sport were identified. These were:
· Performance enhancement imperative - the pressure or expectation to constantly improve personal performance or achieve certain goals that are monitored through the use of tracking devices.
· Lack of context - because devices only record objective data and take no account of personal, subjective circumstances (such as illness, menstrual cycles, lack of time), which in real life are often legitimate factors for a drop in performance.
· Digital visibility - pressure caused by the disclosure of personal data and activities on platforms such as Strava, where profiles and usage data are automatically transformed into diagrams and analyses, and can be viewed by others.
· Feedback incorporation – describes the tendency of athletes to accept feedback and performance assessments of their tracking devices as authoritative assessments of performance, rather than athletes taking a more rounded view of their performance.
· Measurement data fixation - where athletes allow their intensities during training or competition to be strongly influenced by the technical data of their tracking device – eg achieving best times on certain kilometre sections – leading to an excessive focus on the technical aspects of training while ignoring the perceptions of the athlete’s subjective feelings of performance and health, which can lead to problems down the line.
· Comparison pressure - perceived requirement to always compete with other athletes and surpass their performance, which means athletes can lose sight of their own long-term goals, instead experiencing a negative feelings, including envy, resentment and jealousy, especially in those with low levels of self-
· Permanent monitoring - a feeling of pressure to constantly self-evaluate and monitor, which worsens when athletes cannot train as desired. Many athletes only notice this pressure when they take off the gadget and then often report a feeling of liberation!
· Perception discrepancy - stress that occurs when an athlete’s own assessment of their performance, health or state of mind does not match the data recorded by technological aids. This discrepancy creates uncertainty and conflict when athletes have to question their own feelings and perceptions.
This is a fascinating study because although the findings come from a particular section of the athletic community (amateur competitive triathletes), there’s no reason to believe that many athletes who use digital tracking technology won’t also experience similar emotions at times. While there’s no denying the potential benefits of digital tracking technology, what this study does is to flesh out and clarify some of the significant downsides, which appear not to be limited just to information overload in the short term. Indeed, for some athletes, these downsides could have a serious negative impact on longer-term motivation, enjoyment and health, as well as performance.
A key point to bear in mind is that according to the transactional model of stress, the same information can lead to very different perceptions in different people, depending on how they perceive that info/situation. This means that each athlete’s interaction with digital technology will be unique, and vary according to a wide range of factors. However, simply being aware of the potential stresses that digital technology can create gives you a big advantage.
If you’re a heavy digital tech user, you should go through the list above and make a note of all the factors above that you have personally experienced when using digital tech. If you can relate to any of these, you might need to seriously rethink when and how often you use digital tech. For example, do you need to use it for every training session? Is there any real need during an easy/recovery session? Do you need to use it to monitor yourself on days off? Do you spend hours and hour analyzing data from workouts without being to discern what it means for future training sessions? Are you ignoring your own subjective feelings (incredibly important) because you believe the figures in front of you are gospel? Do you ever feel down when your session data shows a slower time, even though you know that you feel tired? Does every training session turn into a race with yourself or with someone else online? Do you ever miss going out training and just enjoying being surrounded by Nature and knowing your body is fit and healthy.
By answering these questions honestly, you can alter the way you use digital tech so that it does not become an end in itself but instead works for you. This might involve only using certain elements of it, only using it during key workouts, having periods when you don’t use it at all, or switching to more subjective ways of monitoring your performance – eg through breathing patterns and perceived exertion (which data shows can be very effective – see this article). In short, by making digital technology your slave and not becoming a slave to it, you can expect to enjoy happier, healthier and more productive training!
1. Front Physiol. 2016 Aug 10;7:348. doi: 10.3389/fphys.2016.00348. eCollection 2016
2. J Sci Med Sport. 2020 Aug;23(8):758-763
3. Front Psychol. 2020 Dec 23;11:608426. doi: 10.3389/fpsyg.2020.608426. eCollection 2020
4. McCann R. S., Johnston J. C. (1989). The locus of processing bottlenecks in the overlapping tasks paradigm. Paper Presented at the Annual Meeting of the Psychonomics Society Atlanta, GA
5. J. Exp. Psychol. Hum. Percept. Perform 1984. 10:358. 10.1037/0096-1523
6. Technostress. Technological antecedents and implications. MIS Q. (2011) 35(4):831–58
7. Front Sports Act Living. 2024 Nov 18;6:1465515
8. Lazarus R, Folkman S. Stress, Appraisal, and Coping. New York, NY: Springer; (1984)
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