Avoiding Undesired Choices Using Intelligent Adaptive Systems
This work addresses decision-making biases for users in choice situations, but it appears incremental as it builds on existing concepts without introducing a major breakthrough.
The paper tackles the problem of intransitive choice behavior in decision-making by proposing heuristics to identify it and suggesting transparent communication and adaptive choice-set generation as methods to avoid undesired choices, aiming to reduce decision biases that may lead to regret.
We propose a number of heuristics that can be used for identifying when intransitive choice behaviour is likely to occur in choice situations. We also suggest two methods for avoiding undesired choice behaviour, namely transparent communication and adaptive choice-set generation. We believe that these two ways can contribute to the avoidance of decision biases in choice situations that may often be regretted.