News

People find changes in user interfaces annoying

A new model of visual learning can be used to efficiently assess the learnability of user interfaces that have changed.

Researchers modelled learning and visual search and predicted how users learn new or partially changed user interfaces. The model shows that even small changes can disturb visual search and impede use.

‘The problem even with new, high-performance user interfaces is that the user must learn something new, and this is time-consuming. Especially in the beginning, searching for important functionalities may take so much time that the user will not change to a more powerful user interface, but gets frustrated. In our study, we examined how much time users at different stages of learning need in order to find the functionalities, and how learning progresses’, explains Postdoctoral Researcher Jussi Jokinen from the Aalto University Department of Communications and Networking.

Psychological models help designers

Researchers combined mathematical models and the basic psychological phenomena of learning and measured participants’ gaze and the time they spent searching for user interface functionalities. This way they monitored changes in the paths of users’ gaze, as learning progressed, and how searching for the functionalities speeded up as users gained more experience.

‘Based on the observations, we modelled the way people learn to use different types of user interfaces. We considered long-term memory, visual short-term memory, and eye movements and showed that it is possible to optimise user interfaces for learnability. Therefore, making the user interface as efficient as possible is not the sole objective of design, but the designer has to strike a balance between efficiency and learnability’, says Jokinen.

‘A similar psychological model predicting both eye movements and learning has not been available to designers before’, he continues.

The advantage of a computational model is that it is now possible to produce large quantities of ergonomically better user interfaces in which easy learnability also plays an important role. Photo:

The model created as a result of the study was used to assess how changes in user interfaces affect the use of familiar systems. When a person familiar with QWERTY changed to the Dvorak keyboard, known for its better ergonomics, the time required for finding a key was increased by 0.6 seconds, which slows down typing significantly. The Sath keyboard, which is more efficient in terms of ergonomics but has been designed for a person who is well familiar with QWERTY, increased search times by 0.4 seconds.

‘The advantage of a computational model is that it is now possible to produce large quantities of ergonomically better user interfaces in which easy learnability also plays an important role. The model can be used to assess automatically and fast how easily a new user interface can be learned’, says Jokinen.

’The same model can be used to develop websites and user interfaces for various occupations. For example, many interfaces can be a visually appealing, but difficult to learn. Therefore, it is good that we know more about human learning and can model learning in different ways’, he continues.

The results will be presented at the world’s largest computer-human interaction conference CHI in Denver, USA, in May 2017. The study has been carried out in cooperation with Kochi University of Technology in Japan. The research group of Professor Antti Oulasvirta focuses on computational methods that apply mathematical models to human behaviour.

The complete publication is available on the research group’s website

More information:
Postdoctoral Researcher Jussi Jokinen
Aalto University
tel. +358 45 1961 429
[email protected]     

Professor Antti Oulasvirta
Aalto University
tel. +358 50 3841 561
[email protected]  

  • Published:
  • Updated:

Read more news

Copper
Research & Art Published:

Battery demand is growing exponentially – BATCircle3.0 provides a leap in battery material and recycling research in Finland

The three-year BATCircle3.0 project, led by Aalto University, offers a strategic focus on new openings for battery materials refining and battery recycling.
Learning Centre graphics
Research & Art, Studies Published:

Artificial intelligence tools to support information retrieval

Artificial intelligence is also going to change information retrieval and many databases are developing their own AI-based add-ons.
Computer component, School of Science, photo: Matti Ahlgren, Aalto University
Research & Art Published:

Aalto computer scientists in EMNLP 2024

Department of Computer Science paper accepted to the Conference on Empirical Methods in Natural Language Processing.
""
Press releases, Research & Art Published:

Physicists unlock transformative new way to transmit huge amounts of data via laser light

The discovery, centred around controlling tiny hurricanes of light and electromagnetic fields, could revolutionise how much information we can deliver over cables.