TY - CONF

T1 - Intelligibility in the Face of Uncertainty

AU - Knowles, Brandin Hanson

N1 - Conference code: CHI 2017

PY - 2017

Y1 - 2017

N2 - In the context of computing, “trust” is often seen as a logical outcome of designing trustworthy systems—i.e. if the data is accurate, if the system is secure, people ought to trust it. In reality, however, people need evidence of trustworthiness to be able to trust, which means that systems need to be designed to effectively communicate why they are deserving of trust. This is challenging at the best of times, but even more so when systems are dealing with uncertainties. This paper introduces some of the work I have done in the past that relates to this problem, and describes two scenarios where I am hoping to better understand how best to communicate uncertainty to users.

AB - In the context of computing, “trust” is often seen as a logical outcome of designing trustworthy systems—i.e. if the data is accurate, if the system is secure, people ought to trust it. In reality, however, people need evidence of trustworthiness to be able to trust, which means that systems need to be designed to effectively communicate why they are deserving of trust. This is challenging at the best of times, but even more so when systems are dealing with uncertainties. This paper introduces some of the work I have done in the past that relates to this problem, and describes two scenarios where I am hoping to better understand how best to communicate uncertainty to users.

M3 - Other

SP - 1

EP - 4

T2 - Designing for Uncertainty in HCI

Y2 - 7 May 2017

ER -