An Adaptive User-Interface Based on User's Emotion

Dalvand, Kasra; Kazemifard, Mohammad

doi:10.1109/iccke.2012.6395371

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…This concept gave a vast meaning to the "user context" by allowing other researchers to think about it. AUBUE (Adaptive User-Interface Based on User's Emotion) [6] is an adaptive interface that changed the colour of the user interface considering the user's emotion by analysing the typing pattern and the recently/frequently used keyboard keys (For example, how many times the backspace was used). While AUBUE was using emotions and recently/frequently used functions, another research named Spatiotemporal Structure Learning with Samsung Galaxy S [9] used emotions and context to recommend mobile applications to the user by changing the user interface.…”

Section: Applicationsmentioning

confidence: 99%

“…Similarly, the total NO count was averaged for each time instance using (6) where Avgt,NO is the average NO count for time instance t, ∑Countt,NO is the total NO count for all the users in the time instance t and Total_Userst is the total number of users available in time instance t.…”

Section: User 16mentioning

confidence: 99%

“…As explained in "Affective Computing" [3], emotions can be considered a factor to be used when designing a usable system [4]. The intelligence from emotions was used when designing intelligent robots [5], user interfaces [6], and appliances for households [7]. In addition to the emotions, more complex and affective system functionalities such as changing the colour, font size, and device widgets have been considered in previous research work by identifying the user's context and the environment as discussed by [8] and [9].…”

Section: Introductionmentioning

confidence: 99%

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Emotional Keyboard: To Provide Adaptive Functionalities Based on the Current User Emotion and the Context

Wattearachchi¹,

Hewagamage²,

Hettiarachchi³

2022

IxD&A

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Improving the User Experience (UX) of mobile devices is of vital importance due to the advent of emerging technologies and the prevalence of using mobile devices. This research aims to develop a model for a mobile device that can suggest adaptive functionalities, based on the current user emotion and the context by changing the user’s negative emotions (sadness and anger) into positive ones. As a proof of concept, a keyboard named “Emotional Keyboard” was developed through five prototypes iteratively using Evolutionary Prototyping. Action Research was adopted as the methodology along with User-Centered Design (UCD) which further included two user surveys. The first three prototypes were implemented to decide the most optimal perception from facial expressions and text analytics. Subsequent prototypes provided affective functions to the user such as listening to music, playing a game, chat with friends, based on the detected negative emotion and the context. The evaluation of each of the prototypes was performed iteratively with user participation. The final (fifth) prototype evaluation was done in two phases, an individual analysis (to measure the performance of each user separately), and an overall analysis (a general analysis that averaged all the results from individual analysis and measured the performance of the overall model). Results of both analyses showed that eventually the Emotional Keyboard was able to predict the adaptive functions correctly to the user and it did not terminate its learning process where the users’ feedback was continuously used to improve its performance. In conclusion, an “Adaptive System with User Control” was developed thus improving the acceptability and usability of a mobile device which aligns with the research aim.

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Section: Applicationsmentioning

confidence: 99%

Section: User 16mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Emotional Keyboard: To Provide Adaptive Functionalities Based on the Current User Emotion and the Context

Wattearachchi¹,

Hewagamage²,

Hettiarachchi³

2022

IxD&A

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“…The solution relies on age, gender, personality traits, and emotional state of the driver in order to provide real-time adaptation. AUBUE [36], is an AUI that relies on the user's emotional state to change the color of the UI background. None of the works in AUI design take into consideration seven different emotions from multiple modalities.…”

Section: Introductionmentioning

confidence: 99%

Adaptive user interface design and analysis using emotion recognition through facial expressions and body posture from an RGB-D sensor

2020

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This work presents the design and analysis of an Adaptive User Interface (AUI) for a desktop application that uses a novel solution for the recognition of the emotional state of a user through both facial expressions and body posture from an RGB-D sensor. Six basic emotions are recognized through facial expressions in addition to the physiological state, which is recognized through the body posture. The facial expressions and body posture are acquired in real-time from a Kinect sensor. A scoring system is used to improve recognition by minimizing the confusion between the different emotions. The implemented solution achieves an accuracy rate of above 90%. The recognized emotion is then used to derive an Automatic AUI where the user can use speech commands to modify the User Interface (UI) automatically. A comprehensive user study is performed to compare the usability of an Automatic, Manual, and a Hybrid AUI. The AUIs are evaluated in terms of their efficiency, effectiveness, productivity, and error safety. Additionally, a comprehensive analysis is performed to evaluate the results from the viewpoint of different genders and age groups. Results show that the hybrid adaptation improves usability in terms of productivity and efficiency. Finally, a combination of both automatic and hybrid AUIs result in significantly positive user experience compared to the manual adaptation.

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Design and Analysis of an Automatic UI Adaptation Framework from Multimodal Emotion Recognition using an RGB-D Sensor

Medjden

Ahmed

Lataifeh

2020

Procedia Computer Science

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An Adaptive User-Interface Based on User's Emotion

Cited by 7 publications

References 12 publications

Emotional Keyboard: To Provide Adaptive Functionalities Based on the Current User Emotion and the Context

Emotional Keyboard: To Provide Adaptive Functionalities Based on the Current User Emotion and the Context

Adaptive user interface design and analysis using emotion recognition through facial expressions and body posture from an RGB-D sensor

Design and Analysis of an Automatic UI Adaptation Framework from Multimodal Emotion Recognition using an RGB-D Sensor

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