Tag Archive | Ompeluseuran palvelumuotoilijat

You’ve Been Nudged!

What do you mean by “I’ve been nudged”? (Picture by @designwilde)

Whether you realize it nor not you have most likely been nudged if you have ever done e.g. some online shopping. Of course, you can be nudged in other environments too but in this blog I will for the most part concentrate on nudging in the digital environment. This is because I took part in the Digital Nudging Workshop hosted by Riina Salmivalli at the Central Library Oodi on the 9th of December 2019 and I wish to share some of the learnings I got from there. The workshop was part of events organized by Ompeluseuran palvelumuotoilijat which is a women’s service design networking group.

What Is a Nudge?

Okay I realize I have said the word nudge already quite a few times yet have not given any explanation on what it actually means. So here we go, according to Thaler and Sustein (2009, 12) a nudge: “… is any aspect of the choice architecture that alerts people’s behavior in a predictable way without forbidding any options or significantly changing their economic incentives.” Still confused? Let me give you some concrete examples.  

Picture by GETTY CREATIVE featured in BBC News online article “Have you been nudged?”

One of the most famous examples of a nudge is the picture of a fly added to the urinals in Amsterdam Schiphol airport. The spillage on the men’s washroom floors decreased by 80% helping to save on cleaning costs as users of the urinals were now aiming at the picture of the fly placed near the urinal drains. Thaler describes this as harmless engineering that captures peoples’ attention and alters their behavior in a positive way (Sommer 2009). Another typical example of a nudge is making citizens automatically registered as organ donors unless they choose otherwise. Spain has implemented this nudge in their healthcare system and thus it is a world leader in organ donations (Govan 2017).

Nudging in the Digital Context

By now you have probably gotten a better sense of what nudging is, so let’s see what it looks like in the digital context. I am going to give three examples of nudges used in the digital environment: default settings, social references and warnings. Obviously, there are more than just these three but I think that calls for a separate blog post. Without further ado, let’s get to it:

Default Settings:

This is to do with the status quo bias where individuals tend to stay with the current status as changing is seen to have more disadvantages than remaining with the current status quo (Mirsch, Lehrer & Jung 2017).  Take the example of Posti’s parcel service pictured below that instantly gives as a default setting the option “Postal Parcel International” (Posti 2019), which will make it the most likely option the customer will continue with.

Posti’s online parcel service

Social References:

This is about taking into account the factor that social norms influence human behavior. Social norms are described as rules and standards which are understood by members of a group that direct and restrict them in social behavior but are not enforced by laws (Cialdini & Trost 1998). At the Fenty Beauty by Rihanna website (2019) the customer can see the reviews of their desired products. The reviews show the reviewers age, region, skin type and tone (Fenty Beauty 2019) so that customer can be influenced in making a purchasing decision if a similar type of person has liked the product as well.

Product reviews for Fenty Beauty by Rihanna

Warnings:

This refers to the psychological theory of loss aversion where losses and disadvantages are presumed to have bigger effect on preferences than possible gains (Kahneman, Knetsch & Thaler 1991). When booking for tickets at the online service ebookers.com (2019), the website notifies how many people are currently searching for flights to the same destination. The site also gives a warning that there are only three tickets available for that particular price, creating an urge for the customer to want to avoid the risk of loosing the cheap tickets.

ebookers warning the customer that there are only three tickets left at £823

Next time you go browsing on a website, see if you can spot any of the three digital nudges being used. It is quite interesting to notice how much nudging is happening without you even realizing it.

Written by Lyydia Pertovaara

References:

Cialdini, R.B. & Trost, M.R. 1998. Social Influence: Social Norms, Conformity, and Compliance. In: The Handbook of Social Psychology, vol. 2. New York: McGraw-Hill, pp.151–192.

Ebookers.com. 2019. Holiday Deals, Hotels & Cheap Flights | ebookers.com. [online] Available at: https://www.ebookers.com/ [Accessed 15 Dec. 2019].

Fenty Beauty. 2019. Fenty Beauty – GLOSSY POSSE MINI GLOSS BOMB COLLECTION. [online] Available at: https://www.fentybeauty.com/glossy-posse-mini-gloss-bomb-collection/40282.html [Accessed 15 Dec. 2019].

Govan, F. (2017). How Spain became the world leader in organ transplants. [online] Thelocal.es. Available at: https://www.thelocal.es/20170915/how-spain-became-world-leader-at-organ-transplants.

Kahneman, D., Knetsch, J.L. & Thaler, R.H. 1991. Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias. Journal of Economic Perspectives, 5(1), pp.193–206.

Mirsch, T., Lehrer, C. & Jung, R. 2017. Digital Nudging: Altering User Behavior in Digital Environments,

in Leimeister, J.M.; Brenner, W. (Hrsg.): Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017), St. Gallen, S. 634-648

Sommer, J. 2009. When Humans Need a Nudge Toward Rationality. The New York Times. [online] 7 Feb. Available at: https://www.nytimes.com/2009/02/08/business/08nudge.html [Accessed 15 Dec. 2019].

Thaler, R. H. & Sunstein, C. R. 2009. Nudge: Improving decisions about health, wealth, and happiness. London: Penguin Books.

AI and Service Design

Picture by Franki Chamaki

What is the first thing that comes to your mind when you think of AI?

Robots? Data breach? Self-driving cars?

There are as many thoughts about AI as there are definitions. It really depends on who you ask. However, in this blog I won’t go over what it is or isn’t but rather how we as designers can influence its use for better or worse.

So is AI an opportunity or a threat?

I’d like to think it’s more of an opportunity but with that comes great responsibility. How so? I will get to that a bit later…

How to Service Design AI

On Thursday 21st of November I took part in the Ompeluseuran palvelumuotoilijat event on “How to Service Design AI” hosted by Solita x Palmu where I got a lot of food for thought about AI. Anna Metsäranta, Data-Driven Business Designer, talked about why 85% of the AI projects fail business wise and Anni Ojajärvi, Ethnographer, Business Design and Strategy, discussed the ethics of AI and how AI can influence human behavior and everyday life. Here are my key take a ways from the event:

The Recipe for a Successful AI Project

Picture from Solita x Palmu “How to Service Design AI” event
  1. AI is just a tool. Humans must define the problem as well as the outcome. The more concrete the better.
  2. We as designers need to be part of AI development projects in order to bring the human aspect to the equation. It is important that we validate along the way that the project is going towards the right direction.
  3. Your solution is only as good as your data. Case in point Amazon’s now scrapped recruiting tool that showed bias against women. The recruiting tool used application data from a 10 year period, mostly made up of male applicants’ resumes due to the male dominance in the technology industry.  “In effect, Amazon’s system taught itself that male candidates were preferable.” (Dastin, 2018).
  4. Developing AI is not just a one of thing. AI needs to be constantly trained and the results validated.

WEIRD People Define the Ethics of AI

Picture from Solita x Palmu “How to Service Design AI” event

AI is for the most part developed by WEIRD people. That is Western, Educated, Industrialized, Rich and Democratic people that make up only 10 to 15% of the world population. Thus, as my final question I leave you this: How can we make this WEIRD situation into a GREAT one? That is Global, Representative, Equal, Accurate and Tolerant.  As I mentioned earlier with opportunity comes great responsibility and it is up to us designers to think of the direct and indirect impact that our design and solutions have on the customer, context, community, employee/process, society and environment.

Written by Lyydia Pertovaara

Links:

https://www.solita.fi/en/

https://unsplash.com/@franki

References:

Dastin, J. (2018). Amazon scraps secret AI recruiting tool that showed bias against women. [online] U.S. Available at: https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G.