liveBook · Manning

Type 1 nudge

As explained in Collaborative Software Design: How to facilitate domain modeling decisions

A nudge that operates primarily through automatic, nonreflective thinking and can exploit cognitive biases.

A type 1 nudge operates through automatic, nonreflective thinking. It can exploit cognitive biases without requiring people to actively consider the nudge or reflect on their response. section 7.3.3

The key distinction is whether a nudge activates reflective thinking. Type 2 nudges deliberately influence attention and invite reflection; type 1 nudges primarily affect automatic responses. Awareness of a bias alone may not reduce its influence. section 7.3.3

Confirmation bias in a modeling session

At BigScreen, Caelan searched for evidence supporting his existing beliefs about collaborative modeling. The resulting type 1 influence made the group guarded and hesitant, illustrating how automatic bias can shape group discussion. section 7.3.3

Figure 7.6 Nudges are organized based on their type and level of transparency. The figure highlights the significance of visually categorizing nudges into quadrants before application. For transparent type II nudges, individuals are informed and provided time to consider whether they wish to respond to the nudge. On the other hand, nudges that fall into the Type I, Nontransparent category are characterized by a lower awareness among people that nudges are being applied. These can potentially manipulate individuals, and the lower they are placed within this quadrant, the more unethical their use becomes. This framework serves as a guide for ethically applying nudges by understanding their effect on awareness and choice.

Use the type-and-transparency quadrant to assess awareness and ethical risk: nontransparent type 1 nudges can become manipulative when people are less aware of their influence. section 7.3.3

How Collaborative Software Design: How to facilitate domain modeling decisions covers it

How deep it goes
Distinguishes automatic influence from reflective nudging and stops short of prescribing a specific implementation technique.
Examples
Uses confirmation bias affecting Caelan and group participation during a BigScreen collaborative-modeling session.
What it assumes
Assumes familiarity with System 1 and System 2 thinking and cognitive bias as influences on decisions.
What you can do after
Evaluate whether a nudge relies on automatic thinking and consider its awareness and manipulation risks.
How it connects
Connects cognitive bias, System 1, System 2, type 2 nudges, confirmation bias, transparency, and collaborative modeling.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Collaborative Software Design: How to facilitate domain modeling decisions. The section links point to the parts of the book it draws on.