Study analysis · 2023 International Conference on Rehabilitation Robotics (ICORR) · 2023
This back exosuit made 2 out of 4 people work harder—literally.
A back support suit helped some people lift weights with less effort, but made others feel more tired, frustrated, or even burn more energy.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
In simple terms
This study watched four people lift weights with and without a special back suit and wrote down what happened. It doesn't prove the suit made things better — it just shows what happened for those four people. It's like saying 'My friend felt better after drinking lemon water' — that doesn't mean lemon water helps everyone.
What’s the bottom line?
Scientists tested a soft back suit that helps when you lift things by pulling on your back like a gentle rubber band. They had four people lift weights over and over, with and without the suit.
How strong is this study?
This study tried hard to measure lots of things, but it only used four people and didn't compare them fairly. It's like testing a new video game on your three friends and saying everyone will love it — that's not enough to know if it's good for everyone. Small tests like this can't be trusted to make big claims.
40 / 100
- COI disclosure+40/40
- Data availabilitydata not shared
- Code availabilitycode not shared
19 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control group+15/15
- Sample size (n=4)+0.4/20
- Follow-upno follow-up reported
100 / 100
31 / 100
- P-valuesno p-values reported
- Effect size+20/20
- Confidence intervalsno confidence intervals
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 542 / 100
Probability of being correct
Snapshots of a population at a single point in time, or descriptions of small groups. Can identify correlations and prevalence, but cannot determine cause and effect.
This design cannot establish causation — the findings describe an association, not a cause. This study has no control group comparison across participants, no randomization, no blinding, and a sample size of only 4 individuals with no statistical analysis. It cannot rule out confounding factors or establish that the exosuit caused observed changes.
Moderate COI
Moderate conflicts that may influence study outcomes
The study was funded by the European Union's Horizon 2020 program, and several authors are affiliated with institutions involved in the funding initiative; however, there is no evidence of direct industry financial stake or control over the study.
Funders
Conflict Details
European Union's Horizon 2020 Research and Innovation Programme: Study funded under Grant Agreement No. 871237 (SOPHIA)
University of Twente: Author affiliated with institution hosting the research
BruBotics-Vrije Universiteit Brussel: Author affiliated with institution involved in the research
DIMEILA, INAIL: Author affiliated with public research institution
DIMEILA, INAIL: Author affiliated with public research institution
+10 more conflicts
No conflict of interest statement was explicitly provided. While funding is disclosed, the involvement of public research institutions (INAIL, VUB, UT) suggests academic collaboration rather than industry bias. However, multiple authors are affiliated with institutions tied to the funder, which may introduce subtle institutional bias. No independent analysis safeguards (e.g., third-party data analysis, blinded analysis) are mentioned.
Key takeaways
- 01
Three out of four felt less tired; two burned less energy; two felt hotter, two felt colder; two felt more frustrated using the suit; three liked using it and said they’d want to use it at work.
- 02
The suit helped some people feel less physically tired, but made others feel mentally more stressed or confused — and didn’t help everyone the same way.
Surprising findings
- The exosuit increased metabolic cost in one participant and mental frustration in two out of three.Most assume assistive wearables uniformly reduce effort—but here, tech that helped physically hurt mentally and energetically for half the users.
- Skin temperature changes were inconsistent and likely caused by device fit, not physiological response.We assume wearables regulate body heat predictably—but this study shows thermal effects may be random noise from pressure or sensor placement.
Practical takeaways
If you're considering an exosuit for work, try it yourself first—don't assume it'll help you like it helped someone else.
This study had only 4 participants, no statistical analysis, and no control for passive device effects—so results are preliminary.
low confidenceWhy this study matters
It helped 3 out of 4 people feel less strain
In a study of four healthy adults, three participants showed reduced erector spinae muscle activity when using the exosuit, and all three who completed subjective assessments reported lower perceived exertion. One participant even saw a 23% drop in metabolic cost (from 6.15 to 4.74 W/kg).
If you're a warehouse worker, nurse, or anyone who lifts daily, this suggests a wearable could genuinely reduce physical fatigue—but only if it works for your body.
It made 2 out of 3 people more frustrated
Despite reducing physical effort, two out of three participants reported increased mental demand and frustration using the exosuit. One user’s frustration score jumped from 0 to 50 on the NASA-TLX scale, while another’s rose from 15 to 10.
Tech that makes your body easier to use but your mind harder? That’s the hidden cost of many wearables—complexity isn’t always a benefit.
One person burned MORE energy with the suit
Participant S3 experienced a 15% increase in net metabolic cost (from 5.18 to 5.97 W/kg) and higher muscle activity in the right back extensors—meaning the suit actually made their body work harder.
This flips the script: not all wearables help. For some, poor fit, timing, or biomechanics turn assistive tech into a burden.
Skin temperature went up AND down
Skin temperature changes were inconsistent: two participants cooled down by up to 0.8°C, while two others warmed up by up to 1.6°C—likely due to sensor placement or harness pressure, not the suit’s function.
If your wearable makes you sweat or chill unpredictably, comfort becomes a gamble—not a guarantee.
Most still said they’d use it at work
Despite mixed physiological results, average acceptability scores were 3.3/5 for 'intention to use' and 3.7/5 for 'ease of use'—showing user perception can override technical flaws.
People don’t need perfect tech—they need something that feels worth it. This is why consumer adoption often beats lab results.
Want the whole report?
Detailed mode opens the full scientific breakdown — every score component, the methodology, conflicts of interest, the evidence analysis behind each claim, and the raw study data.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Scientists tested a soft back suit that helps when you lift things by pulling on your back like a gentle rubber band. They had four people lift weights over and over, with and without the suit.
Research results
Three out of four felt less tired; two burned less energy; two felt hotter, two felt colder; two felt more frustrated using the suit; three liked using it and said they’d want to use it at work.
What this means - more context
The suit helped some people feel less physically tired, but made others feel mentally more stressed or confused — and didn’t help everyone the same way.
This study evaluates the impact of a novel soft actuated back exosuit on physiological and subjective measures during repetitive asymmetric lifting in healthy adults.
In four healthy adults, the exosuit reduced erector spinae muscle activity in three participants, lowered metabolic cost in two, and decreased perceived exertion in all three who completed subjective assessments. However, metabolic cost increased in one participant, skin temperature changed inconsistently (up in two, down in two), and mental demand and frustration increased in two participants. User acceptability scores were moderately positive.
Methods Used
Four healthy adults performed repetitive asymmetric lifting (12.6 kg, 6 lifts/min) with and without a cable-driven, lumbar-flexion-proportional exosuit. Physiological measures included sEMG, metabolic cost, heart rate, and skin temperature; subjective measures used RPE, NASA-TLX, and acceptability questionnaires. Each participant served as their own control in a two-day within-subjects design.
Main Finding
The exosuit reduced physical exertion and muscle activity in some participants but had variable effects on metabolic cost and thermal response, and increased mental demand/frustration in half of users, indicating individualized and non-uniform responses to assistance.
Confidence Level
Low due to small sample size (n=4), lack of statistical analysis, no randomization, and absence of control for passive device effects or acclimatization variability.
Study Flags
Red Flags
- •Extremely small sample size (n=4)
- •No statistical analysis or p-values reported
- •No control for passive device effects or acclimatization differences
Surprising Findings
The exosuit increased metabolic cost in one participant and mental frustration in two out of three.
Most assume assistive wearables uniformly reduce effort—but here, tech that helped physically hurt mentally and energetically for half the users.
Practical Takeaways
If you're considering an exosuit for work, try it yourself first—don't assume it'll help you like it helped someone else.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 542 / 100
Probability of being correct
Snapshots of a population at a single point in time, or descriptions of small groups. Can identify correlations and prevalence, but cannot determine cause and effect.
Human Cross-Sectional
Subject
Moderate probability
on the GRADE evidence scale
This study watched four people lift weights with and without a special back suit and wrote down what happened. It doesn't prove the suit made things better — it just shows what happened for those four people. It's like saying 'My friend felt better after drinking lemon water' — that doesn't mean lemon water helps everyone.
Moderate conflicts detected — such as industry funding with partial involvement. A meaningful penalty has been applied.
Strengths
- Detailed multimodal physiological measurements (EMG, metabolic cost, heart rate, skin temperature)
- Use of validated subjective scales (NASA-TLX, RPE)
- Clear description of exosuit design and control system
Weaknesses
- Sample size of only 4 participants
- No randomization
- Blinding status unknown — likely not blinded
Methodology
Evidence Keywords
Statistical Reporting
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Scientists tested a soft back suit that helps when you lift things by pulling on your back like a gentle rubber band. They had four people lift weights over and over, with and without the suit.
Research results
Three out of four felt less tired; two burned less energy; two felt hotter, two felt colder; two felt more frustrated using the suit; three liked using it and said they’d want to use it at work.
What this means - more context
The suit helped some people feel less physically tired, but made others feel mentally more stressed or confused — and didn’t help everyone the same way.
This study evaluates the impact of a novel soft actuated back exosuit on physiological and subjective measures during repetitive asymmetric lifting in healthy adults.
In four healthy adults, the exosuit reduced erector spinae muscle activity in three participants, lowered metabolic cost in two, and decreased perceived exertion in all three who completed subjective assessments. However, metabolic cost increased in one participant, skin temperature changed inconsistently (up in two, down in two), and mental demand and frustration increased in two participants. User acceptability scores were moderately positive.
Methods Used
Four healthy adults performed repetitive asymmetric lifting (12.6 kg, 6 lifts/min) with and without a cable-driven, lumbar-flexion-proportional exosuit. Physiological measures included sEMG, metabolic cost, heart rate, and skin temperature; subjective measures used RPE, NASA-TLX, and acceptability questionnaires. Each participant served as their own control in a two-day within-subjects design.
Main Finding
The exosuit reduced physical exertion and muscle activity in some participants but had variable effects on metabolic cost and thermal response, and increased mental demand/frustration in half of users, indicating individualized and non-uniform responses to assistance.
Confidence Level
Low due to small sample size (n=4), lack of statistical analysis, no randomization, and absence of control for passive device effects or acclimatization variability.
Study Flags
Red Flags
- •Extremely small sample size (n=4)
- •No statistical analysis or p-values reported
- •No control for passive device effects or acclimatization differences
Surprising Findings
The exosuit increased metabolic cost in one participant and mental frustration in two out of three.
Most assume assistive wearables uniformly reduce effort—but here, tech that helped physically hurt mentally and energetically for half the users.
Practical Takeaways
If you're considering an exosuit for work, try it yourself first—don't assume it'll help you like it helped someone else.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 542 / 100
Probability of being correct
Snapshots of a population at a single point in time, or descriptions of small groups. Can identify correlations and prevalence, but cannot determine cause and effect.
Human Cross-Sectional
Subject
Moderate probability
on the GRADE evidence scale
This study watched four people lift weights with and without a special back suit and wrote down what happened. It doesn't prove the suit made things better — it just shows what happened for those four people. It's like saying 'My friend felt better after drinking lemon water' — that doesn't mean lemon water helps everyone.
Moderate conflicts detected — such as industry funding with partial involvement. A meaningful penalty has been applied.
Strengths
- Detailed multimodal physiological measurements (EMG, metabolic cost, heart rate, skin temperature)
- Use of validated subjective scales (NASA-TLX, RPE)
- Clear description of exosuit design and control system
Weaknesses
- Sample size of only 4 participants
- No randomization
- Blinding status unknown — likely not blinded
Methodology
Evidence Keywords
Statistical Reporting
Scoring
How strong is this study?
This study tried hard to measure lots of things, but it only used four people and didn't compare them fairly. It's like testing a new video game on your three friends and saying everyone will love it — that's not enough to know if it's good for everyone. Small tests like this can't be trusted to make big claims.
40 / 100
- COI disclosure+40/40
- Data availabilitydata not shared
- Code availabilitycode not shared
19 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control group+15/15
- Sample size (n=4)+0.4/20
- Follow-upno follow-up reported
100 / 100
31 / 100
- P-valuesno p-values reported
- Effect size+20/20
- Confidence intervalsno confidence intervals
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 542 / 100
Probability of being correct
Snapshots of a population at a single point in time, or descriptions of small groups. Can identify correlations and prevalence, but cannot determine cause and effect.
This design cannot establish causation — the findings describe an association, not a cause. This study has no control group comparison across participants, no randomization, no blinding, and a sample size of only 4 individuals with no statistical analysis. It cannot rule out confounding factors or establish that the exosuit caused observed changes.
Moderate COI
Moderate conflicts that may influence study outcomes
The study was funded by the European Union's Horizon 2020 program, and several authors are affiliated with institutions involved in the funding initiative; however, there is no evidence of direct industry financial stake or control over the study.
Funders
Conflict Details
European Union's Horizon 2020 Research and Innovation Programme: Study funded under Grant Agreement No. 871237 (SOPHIA)
University of Twente: Author affiliated with institution hosting the research
BruBotics-Vrije Universiteit Brussel: Author affiliated with institution involved in the research
DIMEILA, INAIL: Author affiliated with public research institution
DIMEILA, INAIL: Author affiliated with public research institution
+10 more conflicts
No conflict of interest statement was explicitly provided. While funding is disclosed, the involvement of public research institutions (INAIL, VUB, UT) suggests academic collaboration rather than industry bias. However, multiple authors are affiliated with institutions tied to the funder, which may introduce subtle institutional bias. No independent analysis safeguards (e.g., third-party data analysis, blinded analysis) are mentioned.