While a certain level of trust is needed for autonomous cars and smart technologies to reach their full potential, these technologies are not infallible—hence why we’re supposed to keep our hands on the wheel of self-driving cars and follow traffic laws, even if they contradict our map app instructions. Recognizing the significance of trust in devices—and the dangers when there is too much of it—Erin MacDonald, assistant professor of mechanical engineering at Stanford University, researches whether products can be designed to encourage more appropriate levels of trust among consumers.
In a paper published last month in The Journal of Mechanical Design, MacDonald and Ting Liao, her former graduate student, examined how altering peoples’ moods influenced their trust in a smart speaker. Their results were so surprising, they conducted the experiment a second time and with more participants—but the results didn’t change.
“We definitely thought that if people were sad, they would be more suspicious of the speaker and if people were happy, they would be more trusting,” said MacDonald, who is a senior author of the paper. “It wasn’t even close to that simple.”
Overall, the experiments support the notion that a user’s opinion of how well technology performs is the biggest determining factor of whether or not they trust it. However, user trust also differed by age group, gender and education level. The most peculiar result was that, among the people who said the smart speaker met their expectations, participants trusted it more if the researchers had tried to put them in either a positive or a negative mood—participants in the neutral mood group did not exhibit this same elevation in trust.
“An important takeaway from this research is that negative emotions are not always bad for forming trust. We want to keep this in mind because trust is not always good,” said Liao, who is now an assistant professor at the Stevens Institute of Technology in New Jersey and lead author of the paper.
Manipulating trust
Scientific models of interpersonal trustworthiness suggest that our trust in other people can rely on our perceptions of their abilities, but that we also consider whether or not they are caring, objective, fair and honest, among many other characteristics. Beyond the qualities of who you are interacting with, it’s also been shown that our own personal qualities affect our trust in any situation. But when studying how people interact with technology, most research concentrates on the influence of the technology’s performance, overlooking trust and user perception.
In their new study, MacDonald and Liao decided to address this gap—by studying mood—because previous research has shown that emotional states can affect the perceptions that inform interpersonal trustworthiness, with negative moods generally reducing trust.
Over the span of two identical experiments, the researchers analyzed the interactions of sixty-three participants with a simulated smart speaker that consisted of a mic and pre-recorded answers hidden under a deactivated smart speaker. Before participants used the speaker, they were surveyed about their feelings regarding their trust of machines and shown images that, according to previous research, would put them in a good or a bad mood, or not alter their mood at all.
The participants asked the speaker 10 predetermined questions and received 10 prerecorded answers of varying accuracy or helpfulness. After each question, the participant would rate their satisfaction with the answer and report whether it met their expectations. At the end of the study, they described how much they trusted the speaker.
If participants didn’t think the speaker delivered satisfactory answers, none of the variables measured or manipulated in the experiment—including age, gender, education and mood—changed their minds. However, among participants who said the speaker lived up to their expectations, men and people with less education were more likely to trust the speaker, while people over age 65 were significantly less likely to trust the device. The biggest surprise for the researchers was that, in the group whose expectations were met, mood priming led to increased trust regardless of whether the researchers tried to put them in a good mood or a bad mood. The researchers did not follow up on why this happened, but they noted that existing theory suggests that people may become more tolerant or empathetic with a product when they are emotional.
“Product designers always try to make people happy when they’re interacting with a product,” said Liao. “This result is quite powerful because it suggests that we should not only focus on positive emotions but that there is a whole emotional spectrum that is worth studying.”
Proceed with caution
This research suggests there is a nuanced and complicated relationship between who we are and how we feel about technology. Parsing out the details will take further work, but the researchers emphasize that the issue of trust between humans and autonomous technologies deserves increased attention now more than ever.
“It bothers me that engineers pretend that they’re neutral to affecting people’s emotions and their decisions and judgments, but everything they design says, “Trust me, I’ve got this totally under control. I’m the most high-tech thing you’ve ever used,” ” said MacDonald. “We test cars for safety, so why should we not test autonomous cars to determine whether the driver has the right level of knowledge and trust in the vehicle to operate it?”
As an example of a feature that might better regulate user trust, MacDonald recalled the more visible warnings she saw on navigation apps during the Glass Fire that burned north of Stanford in fall, which instructed people to drive cautiously since the fire may have altered road conditions. Following their findings, the researchers would also like to see design-based solutions that factor in the influence of users’ moods, both good and bad.
“The ultimate goal is to see whether we can calibrate people’s emotions through design so that, if a product isn’t mature enough or if the environment is complicated, we can adjust their trust appropriately,” said Liao. “That is probably the future in five to 10 years.”
New study shows trust levels in artificial intelligence predicted, boosted by people’s relationship style
More information:
Ting Liao et al. Manipulating Users’ Trust of Autonomous Products With Affective Priming, Journal of Mechanical Design (2020). DOI: 10.1115/1.4048640
Provided by
Stanford University
Citation:
Studying trust in autonomous products (2020, December 8)
retrieved 8 December 2020
from https://techxplore.com/news/2020-12-autonomous-products.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.
