Читать книгу Eye Tracking the User Experience - Aga Bojko - Страница 21
Actionable Eye Tracking
ОглавлениеWhen eye tracking proponents state reasons for using eye tracking, they frequently frame them as “Here is what eye tracking can tell us.” For example, “Eye tracking can tell us about users’ search strategies and decision-making processes” or “Eye tracking can determine what users find interesting.” These statements are not incorrect. However, they are vague and not very helpful to those trying to figure out when to use eye tracking in their studies.
Does it matter that you can identify a visual strategy employed by users to find the correct drug among others (see Figure 2.2)? Or that you can find out how interesting each area of a Web page is? While it is certainly true that some UX research (especially the more academic research) aims to explore how people interact with products and interfaces in general, as UX practitioners, we must often focus on gathering actionable information. We conduct research to inform decisions. “How can we improve this product?” or “Is this product ‘good enough’ to be launched?” are the high-level questions that our studies typically have to answer. Eye tracking can provide copious information, but most of it may never be useful for answering these kinds of practical questions.
FIGURE 2.2 You could collect and analyze eye movement data from pharmacists looking at drug labels when filling prescriptions, but how can you make these findings actionable?
Let’s say that furniture assembly instructions were the object of your study (see Figure 2.3). Your eye tracking data revealed that participants spent 10 seconds looking at the front cover before opening the booklet and reading the instructions. If your study goal were to assess instruction comprehension, this is not a useful finding. The same information could be considered useful, however, if the goal of the study were to evaluate the effectiveness of new advertising placed on the cover.
The starting point is always the high-level study objectives. More specific research questions should be then developed to target each of these objectives. Once those are in place, the next step is to identify the appropriate methodology for the study, which could but does not have to include eye tracking. One unfortunate but common practice is to decide to conduct an eye tracking study before specifying the research questions. Don’t do it. You cannot possibly know which methods to use without knowing what the study is trying to accomplish!
FIGURE 2.3 Eye movements of a person reading instructions can reveal both useful information and information that is of no use to the researcher and stakeholders. It all depends on the study objectives.
Just as bad as having no objectives or clear research questions is the infamous, “We just want to know where users are looking.” Let’s settle this once and for all: This is not a good enough reason to use eye tracking. Doing eye tracking just because you want to see where people are looking is like eating donuts for breakfast, lunch, and dinner just because you can.
So rather than just focusing on what eye tracking can tell you, you should ask yourself, “Why do I need to know this?” or even better, “What type of decisions do I want to be able to make based on the study results?” These questions will help you look for actionable insight and determine techniques that can gather it.
Figure 2.4 shows an overview of the actionable insights that eye tracking can generate and the kinds of decisions it can help you make. This information will help you answer the first question from Figure 2.1, “Will eye tracking generate actionable insight that addresses the study objectives?” If there is no overlap between your research questions and what you see in Figure 2.4, you should consider employing methods other than eye tracking to find your answers. But wait, you don’t have to make a decision just yet! The next two sections of this chapter explain and provide examples of actionable qualitative and quantitative research findings that can result from eye tracking.
FIGURE 2.4 Types of actionable insight that eye tracking can generate.