4. The psychology of trust
• Results have been found that people we tend to trust are:
• People we see more often
• Attractive people
• In-group types
• Gender bias
• Person versus computer
5. The future
• So how does this tie back into day to day practice?
6. References
• Criado, H., Herreros, F., Miller, L., & Ubeda, P. (2015). Ethnicity and Trust: A Multifactorial Experiment. Political
Studies, 63131-152.
• Frost-Arnold, K. (2014). The cognitive attitude of rational trust. Synthese, 191(9), 1957-1974. doi:10.1007/s11229-
012-0151-6
• Han Suk, L., & Hee Jung, L. (2014). FACTORS INFLUENCING ONLINE TRUST. Academy Of Marketing Studies
Journal, 18(1), 41-50.
• Haselhuhn, M. P., Kennedy, J. A., Kray, L. J., Van Zant, A. B., & Schweitzer, M. E. (2015). Gender differences in
trust dynamics: Women trust more than men following a trust violation. Journal Of Experimental Social
Psychology,
• Dittrich, M. (2015). Gender differences in trust and reciprocity: evidence from a large-scale experiment with
heterogeneous subjects. Applied Economics, 47(36), 3825-3838
• Nicholson, C. Y., Compeau, L. D., & Sethi, R. (2001). The role of interpersonal liking in building trust in long-
term channel relationships. Journal of the Academy of Marketing Science, 29(1), 3-15.
• O’Leary, J. J. (2006). 18 Pathology 2026: The Future of Laboratory Medicine and Academic Pathology.
• Vanneste, B. S., Puranam, P., & Kretschmer, T. (2014). Trust over time in exchange relationships: Meta-analysis
and theory. Strategic Management Journal, 35(12), 1891. doi:10.1002/smj.2198
• Wagner, A. R. (2009). The role of trust and relationships in human-robot social interaction (Doctoral
dissertation, Georgia Institute of Technology).
Now when I say a person’s best friend, some of you may be thinking of your childhood best friend, your partner or maybe your furry companion. Most people when they think of trust don’t necessarily think of trust as a robot
What is trust fundamentally? Do we stand anything to gain from it?
From trust allows us to engage with individual to gauge the risks associated with interacting with another agent at its most fundamental core. But how do we really define trust, early sociologists defined it as reducing risk of daily life and social complexity
Fundamentally trust is about truth and transparency
The picture shows a guy taking a chance on his friends and trusting that they won’t let him fall and injury himself. His friends on the other hand could just pull their awems away thereby allowing him to have a pretty hard fall.
So what makes us trust people? Why do you trust your partner? It’s probably because you have a history with them that has shown you they are worthy of your trust
To understand how a robot or a machine is to trust someone, we first need to understand how we trust people. What makes us trust someone that isn’t related by blood. For example studies have shown we are more attractive and more likely to trust people we see more often, for example your neibhour, since it makes us feel familiar with them and makes us trust them. This is because they become similar to us and our environment, creating a feeling of recognition, self confirmation and self-assurance. The more someone is like us the more likely we are to trust them. Similiarity has been shown both in person and online to have a huge influence in trust .
Attractive people also tend to be found more trust worthy and are said to have a halo effect, which is said that anyone
Studies have shown that we tend to trust certain groups of people over others, for example if a group of people who are originally for Calgary meet other people from Calgary in Edmonton they’d trust them more. This could lead to the question if there was a person who had needed an arm or leg and got a robotic replacement for it would a robot trust them more over myself or someone without it.
A gender difference seems to exist, males actually show to trust more and to be more receptive then their female counterparts
A lot of people now a days have relationships with people through an interface such as computer and some of these people have never previously met and yet are able to build trust, which can be more difficult without the social cues presented in daily in person interactions scuh as
Unfortunately, blind trust isn’t something that has been able to be easily defined and researched, instead a basic internet search will lead you to a multitude of sites wanting to assess the trust in your relationship. Blind trust puts faith in someone without regard to demonstrated reliability or trustworthiness
The future: would it be better to build trust through a computer model or person interaction. Steve Wosniak predicts that robots will treat us how we treat our beloved pets, always doing what is best for them and taking care of them. So how will robots take care of us in a pathology sense? They will help with the lab work of course. Initially the AI will need our help with access to power, to the audio text to speech system and vice versa, to the pathology information system (reliable information infrastructure to register specimens, record gross and microscopic findings, regulate laboratory workflow, formulate and sign out report(s), disseminate them to the intended recipients across the whole health system, and support quality assurance measures), and the clinical information system, to the automatic tissue processor, and the virtual microscopy system (see attached images) . Initially there will be lots of gaps in the system where humans are needed to bridge those gaps, but eventually there will be no gaps and we need to trust the machines.
We’ve already started seeing robot assisted surgeries happening and robots playing a role in remote care (ie. http://www.irobot.com/For-Business/RP-VITA).
The development of new artificial intelligence (AI) automated cytoscreening technology with automated robotic preparation will revolutionise how we practice cytopathology within cellular science laboratory medicine. Artificial intelligence rare cell event monitoring (RCEM) with protein tag labelling of abnormal cells will be in routine use, in parallel with lab-on-chip detection of human papilloma virus (HPV) genotypes using real-time PCR and nucleic acid base amplifi cation chips. Greater than 95% of laboratories will offer a fully automated cytoscreening service as a primary screening tool.