Save A Tree or 6 kg of CO2? Understanding Effective Carbon Footprint Interventions for Eco-Friendly Vehicular Choices
<|reference_start|>Save A Tree or 6 kg of CO2? Understanding Effective Carbon Footprint Interventions for Eco-Friendly Vehicular Choices: From ride-hailing to car rentals, consumers are often presented with eco-friendly options. Beyond highlighting a "green" vehicle and CO2 emissions, CO2 equivalencies have been designed to provide understandable amounts; we ask which equivalencies will lead to eco-friendly decisions. We conducted five ride-hailing scenario surveys where participants picked between regular and eco-friendly options, testing equivalencies, social features, and valence-based interventions. Further, we tested a car-rental embodiment to gauge how an individual (needing a car for several days) might behave versus the immediate ride-hailing context. We find that participants are more likely to choose green rides when presented with additional information about emissions; CO2 by weight was found to be the most effective. Further, we found that information framing - be it individual or collective footprint, positive or negative valence - had an impact on participants' choices. Finally, we discuss how our findings inform the design of effective interventions for reducing car-based carbon-emissions.<|reference_end|>
@article{mohanty2024save,
    title={Save A Tree or 6 kg of CO2? Understanding Effective Carbon Footprint
  Interventions for Eco-Friendly Vehicular Choices},
    author={Vikram Mohanty, Alexandre Filipowicz, Nayeli Bravo, Scott Carter,
  David A. Shamma},
    journal={In Proceedings of the 2023 CHI Conference on Human Factors in
  Computing Systems. (CHI 23), April 23-28, 2023, Hamburg, Germany. ACM, New
  York, NY, USA},
    year={2024},
    doi={10.1145/3544548.3580675},
    archivePrefix={arXiv},
    eprint={2407.08897},
    primaryClass={cs.HC}
}