Coming to a Consensus During Risky Decision-Making
A Caltech study reveals how people compromise during risky shared decisions, with biases in credit and blame shaping outcomes in collaborative tasks.
The useful question is what changes for users, developers or buyers, and whether the announcement stays industry context or becomes something people can actually use.
Researchers at Caltech, led by Dean Mobbs, investigated how individuals compromise when making risky decisions with strangers. The study found that most people settle on a middle ground between their preferences, but those who claim more credit for successes and deflect blame for failures compromise less. The findings were published in the Proceedings of the National Academy of Sciences on June 29. The team explored how differing risk tolerances affect collaboration and responsibility attribution in joint tasks.
Participants first played a video game individually to assess their risk tolerance, navigating a virtual environment to maximize rewards while avoiding a predator. The game measured how individuals balanced risk and reward in isolation. In the social phase, strangers were paired to play the game together, with avatars converging on a midpoint between their choices. Success depended on collective decisions, though individual contributions remained distinct.
The study revealed that participants often predicted their partner’s choices to strategize their own moves. Those unwilling to compromise moved away from their partner’s perceived choice, while others adjusted toward it. Surprisingly, even when outcomes were clear, participants still exhibited egocentric biases, claiming more credit for wins and deflecting blame for losses. This bias persisted despite transparent feedback about each player’s contributions.
The researchers suggest that compromise and reciprocity reinforce alignment in collaborative decisions, while strong biases can lead to conflict. Future work will expand group sizes and design more naturalistic decision-making scenarios. The study highlights how responsibility attribution, rather than differences in risk preferences, may determine whether teams succeed or falter in shared tasks.