Half Full or Half Empty? Individual Differences in the Way We Interpret Uncertainty

Aimed at integrating cutting-edge psychological science into the classroom, columns about teaching Current Directions in Psychological Science offer advice and how-to guidance about teaching a particular area of research or topic in psychological science that has been the focus of an article in the APS journal Current Directions in Psychological Science.
Imagine walking into a room where your partner is talking on the phone. They see you, suddenly fall silent, and end the call. Do you assume they are planning a surprise for you? Or do you suspect that they were engaged in something nefarious? Research by Neta (2026) demonstrates that there are individual differences in how we respond to ambiguous situations and stimuli like this, with some people showing a predilection to a positive interpretation while others lean in a negative direction. This tendency, known as valence bias, represents a stable, trait-like difference, as people are consistent in their tendency for positive (or negative) assessments across situations.
As one example, Neta and colleagues asked people to evaluate happy, angry, and surprised faces. The surprised faces were ambiguous in that they could signal either a positive experience (e.g., seeing an old friend) or a negative experience (e.g., finding your car with a flat tire). The researchers found evidence for valence bias: Some participants tended to rate the surprised faces positively, while others were more likely to rate them negatively. In later studies, this same valence bias drove responses to simple ambiguous words (e.g., “break”) and complex ambiguous scenes (e.g., a scene of two people in a tearful embrace (Harp et al., 2021; Neta et al., 2009; 2013). These findings demonstrate that people are consistent in their valence bias not only across different stimuli but also over time—with high test–retest reliability for periods up to one year (Harp et al., 2022).
Despite general consistency in valence bias, there are changes in this bias with age. Children show a more negative valence bias than young adults, and positivity continues to increase across the lifespan (Neta & Tong, 2016). This developmental progression may result from the fact that positive appraisals require a “cognitive override” of an initial negative response. Data suggest that most people show an initial negative response to ambiguous stimuli, but some people engage in a reappraisal process that results in a more positive interpretation. Children may lack the regulatory ability to override those negative reactions.
Mouse-tracking experiments provide elegant evidence for this initial negativity hypothesis. In these studies, researchers measured the path participants’ computer cursors take while deciding between “positive” and “negative” evaluations of ambiguous stimuli. Positive categorizations often begin with movement toward the negative option before curving back toward the positive choice. Negative categorizations, however, tend to follow more direct trajectories. This suggests that even people who ultimately reach a positive conclusion initially experience a pull toward negativity.
This initial negativity bias may be adaptive from an evolutionary perspective, as missing a potential threat is often more dangerous than mistakenly assuming danger where none exists. That said, if we always jump to a negative conclusion, it could affect our health and well-being. In adults, negative valence bias is associated with several negative psychological and social outcomes, including increased depression, anxiety, and stress reactivity, as well as decreased social connectedness (e.g., Brown et al., 2017; Neta & Brock, 2021; Petro et al., 2021).
The good news is that an individual’s valence bias can shift. Interventions such as mindfulness-based stress reduction can shift people toward more positive interpretations, and these changes are linked to reductions in depression and anxiety symptoms (Harp et al., 2022; 2024). Future research may use valence bias both as a diagnostic marker and as a target for intervention.
Student Activity: The Ambiguity Lab
Step 1: Rating of ambiguous stimuli
Read the following scenarios to students and have them rate them as relatively positive or relatively negative.
1 = relatively positive, 2 = relatively negative
- You notice your roommates suddenly getting quiet when you walk into the room.
- A friend texts: “We need to talk later.”
- You are called into your supervisor’s office at work.
- Your group project members had a meeting without you.
- You receive an email with the subject line: Regarding your performance.
- Your professor pauses after reading your exam and says, “Huh.”
- Your financial aid portal suddenly says, “Status updated.”
- You notice your professor looking at you several times during lecture.
- Your internship supervisor says, “I’ve been meaning to talk with you.”
- Your date says, “You’re different than I expected.”
- A professor replies to your long email with: “Let’s discuss in person.”
- You are tagged in a photo you haven’t seen yet.
Step 2: Reflection
Have students calculate an average score across all statements and note whether that score is closer to 1 or 2. Scores closer to 1 indicate a positivity bias, and closer to 2 indicate a negativity bias.
Use a polling tool to have students report whether they showed a negativity or positivity bias. Then, ask students to reflect on the following:
- How consistent were your ratings?
- Which judgments felt automatic?
- For which statements were you more aware that it could be either positive or negative?
- Did the positive interpretations take longer?
Discuss the valence bias and the initial negativity hypothesis in the context of their responses.
Step 3: Reappraisal exercise
Divide students into small groups and ask them to review the original 10 statements. Ask them to generate the most negative interpretation possible and the most positive interpretation possible for each. Through this exercise, students may discover how easily ambiguity can support multiple meanings and how deliberate reinterpretation resembles cognitive reappraisal.
Step 4: Connect to mental health and daily life
Discuss these questions with students:
- Why might humans default to negativity?
- When is negativity adaptive?
- When might positivity be healthier?
- How could valence bias affect relationships, politics, social media, or clinical disorders?
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Additional References
Brown, C. C., Raio, C. M., & Neta, M. (2017). Cortisol responses enhance negative valence perception for ambiguous facial expressions. Scientific Reports, 7(1), 15107.
Harp, N. R., Blair, R. J. R., & Neta, M. (2024). Shift in valence bias associated with decrease in trait anxiety and depression symptoms. Cognitive Therapy and Research, 48(3), 444–450.
Harp, N. R., Brown, C. C., & Neta, M. (2021). Spring break or heart break? Extending valence bias to emotional words. Social Psychological and Personality Science, 12(7), 1392–1401.
Harp, N. R., Freeman, J. B., & Neta, M. (2022). Mindfulness-based stress reduction triggers a long-term shift toward more positive appraisals of emotional ambiguity. Journal of Experimental Psychology: General, 151(9), 2160–2172.
Neta, M., & Brock, R. L. (2021). Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity. Scientific Reports, 11(1), 3870.
Neta, M., Kelley, W. M., & Whalen, P. J. (2013). Neural responses to ambiguity involve domain-general and domain-specific emotion processing systems. Journal of Cognitive Neuroscience, 25(4), 547–557.
Neta, M., Norris, C. J., & Whalen, P. J. (2009). Corrugator muscle responses are associated with individual differences in positivity-negativity bias. Emotion, 9(5), 640–648.
Neta, M., & Tong, T. T. (2016). Don’t like what you see? Give it time: Longer reaction times associated with increased positive affect. Emotion, 16(5), 730–739.
Petro, N. M., Tottenham, N., & Neta, M. (2021). Exploring valence bias as a metric for frontoamygdalar connectivity and depressive symptoms in childhood. Developmental Psychobiology, 63(5), 1013–1028.
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