Group Project
Applied Psychology / Year 3

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Jorden Bukspan

Jorden Bukspan

Applied Psychology

Year 3

Marie Sander

Marie Sander

Applied Psychology

Year 3

Jade Walsh

Jade Walsh

Applied Psychology

Year 3

  • Project Title Development of an emotion tracker application using emoticons
  • Course BSc [Hons] Applied Psychology
  • Year 3
  • Contact Info jordenbukspan@gmail.com
    marie.sander@online.de
    jadewalsh.6@gmail.com

EmojiTrack

The aim of EmojiTrack was to create an emotion tracker that is quick, relatable and clean in design for ease of use and attraction. Research has demonstrated awareness of emotions, negative or positive, is important for mental health. Self-monitoring can contribute to overall emotional wellbeing through enhancing one’s compassion and empathy and also contribute to better communication and interpersonal relationships.

Project Description

EmojiTrack is an emotion tracker app. This app is unique in that user's input emojis that best reflect their current emotion or mood. Research on existing emotion tracking apps available has found them to be time-consuming, not user-friendly, lacking supporting evidence and lastly, they are created by developers and not by psychologists. EmojiTrack also allows the user to add their own emotion by selecting an emoji and allocating their own emotional meaning to it. These days when communicating online or through text, we often use emojis to enhance our communication online by visually describing our emotions to others. EmojiTrack utilizes this type of online communication and allows users to effectively capture and track their own emotions. In the process of creating this app, both design and ethical considerations were highly regarded. User feedback, obtained through extensive research and user testing, was valuable throughout all stages of the process and development of this prototype.

Project Findings

The final prototype includes options to track emotions via the input of emoji with personalized options to avail of also. A diary entry feature allows the users to expand on their chosen emojis. Information about various emotional states is available and patterns can be detected when looking at the frequency of certain emotions throughout the last week in chart or timeline form. In an ideal case the App will increase prevention and identification of patterns of “avoidance and maladaptive emotion-driven behaviours” (Bakker et al., 2016). For more information on the prototype, research behind it and its development go to https://emojitrack.wixsite.com/emojitrack.

Group Project
Applied Psychology / Year 3