• EnviroPulse: Providing Feedback About the Expected Affective Valence of the Environment

    D. Valtchanov and M. Hancock, “EnviroPulse: Providing Feedback About the Expected Affective Valence of the Environment,” in Proc. CHI, New York, NY, USA, 2015, pp. 2073-2082.

    @inproceedings{Valtchanov:2015:EPF:2702123.2702510,
    author = {Deltcho Valtchanov and Mark Hancock},
    title = {EnviroPulse: Providing Feedback About the Expected Affective Valence of the Environment},
    abstract = {Interacting with nature is beneficial to a person's mental state, but it can sometimes be difficult to find environments that will induce positive affect (e.g., when planning a run). In this paper, we describe EnviroPulsea system for automatically determining and communicating the expected affective valence (EAV) of environments to individuals. We describe a prototype that allows this to be used in real-time on a smartphone, but EnviroPulse could easily be incorporated into GPS systems, mapping services, or image-based systems. Our work differs from existing work in affective computing in that, rather than detecting a user's affect directly, we automatically determine the EAV of the environment through visual analysis. We present results that suggest our system can determine the EAV of environments. We also introduce real-time affective visual feedback of the calculated EAV of the images, and present results from an informal study suggesting that real-time visual feedback can be used for induction of affect.},
    booktitle = {Proc. CHI},
    series = {CHI '15},
    year = {2015},
    isbn = {978-1-4503-3145-6},
    location = {Seoul, Republic of Korea},
    pages = {2073--2082},
    numpages = {10},
    doi = {10.1145/2702123.2702510},
    acmid = {2702510},
    publisher = {ACM},
    address = {New York, NY, USA},
    keywords = {affective computing, human factors, mobile interfaces},
    pdf = {p2073-valtchanov.pdf},
    movie = {EnviroPulse.mp4},
    youtube = {Ijzhy7GwXak},
    subtype = {conference}
    }


    Abstract

    Interacting with nature is beneficial to a person’s mental state, but it can sometimes be difficult to find environments that will induce positive affect (e.g., when planning a run). In this paper, we describe EnviroPulsea system for automatically determining and communicating the expected affective valence (EAV) of environments to individuals. We describe a prototype that allows this to be used in real-time on a smartphone, but EnviroPulse could easily be incorporated into GPS systems, mapping services, or image-based systems. Our work differs from existing work in affective computing in that, rather than detecting a user’s affect directly, we automatically determine the EAV of the environment through visual analysis. We present results that suggest our system can determine the EAV of environments. We also introduce real-time affective visual feedback of the calculated EAV of the images, and present results from an informal study suggesting that real-time visual feedback can be used for induction of affect.

    Keywords

    affective computing, human factors, mobile interfaces