Reward Effects on Physiological Arousal in an Object Retrieval Task

An experimental study measuring how rewards influence heart rate variability (HRV) and skin conductance response (SCR) during gameplay.

Project Details

Location

Trento, Italy

Duration

Short experimental project

Team

4 members

Context

University course (Cognitive Neuroscience & Neurotechnology) 

Role

Experimental Design

Data Collection

Data Analysis Support

Challenge

Rewards are known to influence motivation and engagement, but how do they affect the autonomic nervous system?

  • Does the presence of a reward change Heart Rate Variability (HRV) and Skin Conductance Response (SCR) during an object retrieval task (Operation game)?
Project challenge

Goal

Goal

Compare physiological responses, behavioral performance and emotional perception under reward vs. no-reward conditions.

H1

Rewards decreases HRV and increases SCR during gameplay, indicating higher sympathetic arousal.

H2

Higher arousal will correlate with better performance

Process

To investigate how rewards affect physiological responses and performance during a visual-motor task (Operation), we ran a within-subject experiment with two conditions (reward vs. no-reward), collected EDA and ECG, and compared outcomes using paired analyses. The following sections describe the procedure, measures, and analysis approach.

Experimental Setup

Design

We used a within-subjects design with two conditions: Reward vs. No-reward. Each participant completed both conditions, enabling direct comparison of physiological and performance changes.

Materials & Instruments

  • Operation game (visual-motor task)
  • EDA sensor (for SCR)
  • ECG sensor (for HRV)
  • Self-report: SAM questionnaire after each round
Process Image

Procedure

1

Sensor Setup

Sensors were placed on the non-dominant hand to reduce interference with gameplay movements.

2

Baseline Recording

Participants completed a 120-second baseline to estimate resting physiological activity before gameplay.

3

Task Blocks

Participants played 60 seconds per condition (Reward and No-reward). After each round, they completed the SAM questionnaire.

Measures & Signal Processing

EDA (SCR)

Electrodermal activity was recorded to extract skin conductance responses as an index of arousal.

ECG (HRV)

Electrocardiography data were used to compute heart rate variability (IBI mean, HRV indices).

Performance Metrics

Number of extracted pieces and number of errors during the Operation task.

Subjective Ratings

Valence, arousal, and dominance measured using the SAM questionnaire after each condition.

Data Analysis

1

Condition Comparisons

We compared HRV and SCR between reward and no-reward conditions to test whether incentives changed physiological responses.

2

Performance Effects

We compared performance metrics between conditions using paired t-tests (within-subject comparisons).

3

Subjective Experience

We computed mean SAM ratings (valence, arousal, dominance) for each condition and interpreted them alongside physiological and performance results.

Results

Graphs showing the IBI mean and the phasic mean for reward and no-reward conditions, indicating more stable physiological responses in the reward condition

Key Findings

Participants showed a more stable IBI mean and negative phasic mean values in the reward conditions, suggesting more regulated autonomic activity. Performance improved with rewards, and subjective ratings indicated less valence and higher dominance in the reward condition.

SAM Results by Condition

Valence (Reward)81.4%
Valence (No Reward)87%
Dominance (Reward)75.9%
Dominance (No Reward)68.6%

5.55/9

perception in the arousal dimension for both conditions

6.67

mean number of pieces collected in the reward condition, compared to 5.33 in the no-reward condition

0.025

p-value for the significant difference in the number of pieces collected between reward (more pieces) and no-reward conditions

Conclusions

Main Conclusion

This study examined how rewards influence physiological responses, behavioral performance, and emotional perception during a visual-motor task. The results showed that reward conditions improved task performance while physiological measures suggested regulated autonomic activity during gameplay. These findings indicate that motivational incentives can enhance engagement and performance without necessarily increasing physiological stress.

H1 — Not Supported

The first hypothesis predicted that rewards would increase sympathetic arousal, reflected by decreased HRV and increased SCR during gameplay. However, physiological measures suggested relatively stable autonomic activity, indicating that rewards did not strongly increase physiological arousal during the task.

H2 — Partially Supported

The second hypothesis predicted that higher arousal would correlate with better performance. While reward conditions improved behavioral performance, physiological measures did not show a clear increase in arousal. This suggests that motivation may improve performance without necessarily producing stronger physiological activation.

Future Research

  • Investigate how different reward types influence physiological responses and performance.
  • Explore the relationship between motivation and physiological responses with more participants.
  • Examine whether similar reward effects appear in more complex cognitive or motor activities.
  • Combine physiological data with additional behavioral measures to better understand engagement.

Key Learnings

  • Rewards can positively influence task performance and engagement.
  • Physiological signals provide complementary insights into user responses during task execution.
  • Motivation may stabilize physiological responses while improving behavioral outcomes.
  • Combining physiological, behavioral, and subjective measures helps provide a more complete understanding of user experience.

Additional Materials

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