Context-Aware Prediction of User Performance Problems Caused by the Situationally-Induced Impairments and Disabilities

Download

thesis.pdf

Date

2022-7

Author

Akpınar, Mehmet Elgin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

110
views

38
downloads

When we interact with small screen devices, we can make errors due to our abilities/disabilities, contextual factors that distract our attention, or problems related to the interface. Predicting and learning these errors based on the previous user interaction and contextual factors and adapting the user interface to prevent these errors can improve user performance and satisfaction. This thesis aims to understand how a system can be developed that monitors user performance and contextual changes and predicts performance problems based on context. In this thesis, we first conducted a systematic review to understand the context and its effect on user performance. Then, we conducted a user study in the wild to collect text entry interactions, sensor data, and context labels. First, we used this data to measure user performance regarding typing speed and error rate in an automated system without a predefined task model. Moreover, we investigated how different context dimensions affect user performance. Our findings showed that context affects users differently; therefore, user-specific adaptations should be considered. We also investigated whether different context factors can be sensed using available sensors. Our experiments with machine learning algorithms using available smartphone sensors show that we can differentiate different context factors, particularly mobility and environment. Moreover, we used sensor and user performance data to predict performance problems. The regression model to predict typing errors outperformed the random baseline. Finally, based on these informative studies, we propose adaptation techniques and design guidelines for developers to support user interaction in different contexts.

Subject Keywords

context, smartphones, text entry, user study

URI

https://hdl.handle.net/11511/98628

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Comparison of Cognitive Modeling and User Performance Analysis for Touch Screen Mobile Interface Design Ocak, Nihan; Çağıltay, Kürşat (Informa UK Limited, 2016-12-23) The aim of this study is to analyze and comparatively evaluate the usability of touch screen mobile applications through cognitive modeling and end-user usability testing methodologies. The study investigates the accuracy of the estimated results of a cognitive model produced for touch screen mobile phone interfaces. A mobile wallet application was chosen as the mobile software. The CogTool modeling tool was used as the cognitive modeling method. Eight tasks were determined and user tests were conducted in ...
Eliciting positive user experiences with self-service kiosks: pursuing possibilities Günay, Aslı; Erbuğ, Çiğdem (2015-01-02) Although the prominent concept of the last decade - user experience - maintains its significance in diverse disciplines, especially design, its focus has changed to eliciting positive user experiences by pursuing new possibilities for consumer products rather than by solely seeking solutions to existing problems. Designers continue to aim for rich user experiences with a variety of products, but have neglected self-service (interactive) kiosks. Hence, this paper, after giving a brief overview of the positiv...
Ubiquitous Cloud-based Monitoring via a Mobile App in Smartphones: An Overview Al-Turjman, Fadi; Betin Can, Aysu; Ever, Enver; Alturjman, Sinem (2016-11-20) The prevalence of wearable devices brought questions about their impact on user habits, use cases and future developments. Will users continue to use smart phones even if they have high capacity wearable devices? If that will be the case, for which reason people will continue to carry smartphones with them? User mobility and soft application usage correlation is an important research area for setting a base to answer these questions. In this literature review we focus on two subjects; smartphone usage patte...
Eye Tracking Scanpath Analysis Techniques on Web Pages: A Survey, Evaluation and Comparison Eraslan, Sukru; Yesilada, Yeliz; Harper, Simon (2016-01-01) Eye tracking has commonly been used to investigate how users interact with web pages, with the goal of improving their usability. This article comprehensively revisits the techniques that could be applicable to eye tracking data for analysing user scanpaths on web pages. It also uses a third-party eye tracking study to compare these techniques. This allows researchers to recognise existing techniques for their goals, understand how they work and know their strengths and limitations so that they can make an ...
Effective Communicatıon Of User Research Outcomes In Design For Well-Being: Adaptation Of The Design Well-Being Matrix In A Pregnancy Case Günay, Aslı (Middle East Technical University, Faculty of Architecture, 2020-6-30) Effective communication of user research deliverables plays a crucial role during all design processes to effectively and meaningfully inform design decisions. As newly introduced materials, such as frameworks and tools, in emergent fields are actually mediums for communicating information in different phases of research, effective communication of them would foster the development of a shared and established language, and thus, robust progression of these fields. This paper investigates effective communica...

Citation Formats

M. E. Akpınar, “Context-Aware Prediction of User Performance Problems Caused by the Situationally-Induced Impairments and Disabilities,” Ph.D. - Doctoral Program, Middle East Technical University, 2022.