Method and system to evaluate and quantify user-experience (UX) feedback

A system comprising:

• a processor;
• and
• a memory having instructions stored thereon, wherein execution of the instructions by the processor, cause the processor to:
• generate, via one or more speakers of, or connected to, the system, a multimedia output of a plurality of selectable multimedia outputs accessible to the system, wherein the multimedia output comprises an audio output (e.g., a ringtone) associated with a stored audio file, and wherein the multimedia output is generated upon receipt of an electronic communication or notification (e.g., a SMS message, electronic mail) at the system;
• record, via one or more microphones of, or connected to, the system, an audio stream as part of a user-experience (UX) feedback of a user-interface presentation, wherein the audio stream is recorded immediately following, and/or during, the audio output being generated, and wherein the audio stream is recorded as an audio file or as a cached data;
• determine, a spectrum profile of each, or a substantial portion, of a plurality of audio segments of the recorded audio file or the cached data;
• and
• determine a matrix comprising the plurality of spectrum profiles for each of the plurality of audio segments and provide the matrix to a machine learning artifact configured to analyze the user-experience (UX) feedback, wherein the matrix is used as an input to the machine learning artifact configured with weights specific to the multimedia output to evaluate and quantify a user-experience (UX) feedback of the multimedia output.

A non-transitory computer readable medium having instructions stored thereon, wherein execution of the instructions by a processor of a computing device causes the processor to:

• generate, via one or more speakers of, or connected to, the computing device, a multimedia output of a plurality of selectable multimedia outputs accessible to the computing device, wherein the multimedia output comprises an audio output (e.g., a ringtone) associated with a stored audio file, and wherein the multimedia output is generated upon receipt of an electronic communication or notification (e.g., a SMS message, electronic mail) at the computing device;
• record, via one or more microphones of, or connected to, the computing device, an audio stream immediately following, and/or during, the audio output as part of a user-experience (UX) feedback of the user-interface presentation, wherein the audio stream is recorded as an audio file or as a cached data;
• determine, a spectrum profile of each, or a substantial portion, of a plurality of audio segments of the recorded audio file or the cached data;
• and
• determine a matrix comprising the plurality of spectrum profiles for each of the plurality of audio segments and provide the matrix to a machine learning artifact configured to analyze the user-experience (UX) feedback, wherein the matrix is used as an input to a machine learning artifact configured with weights specific to the multimedia output to evaluate and quantify a user-experience (UX) feedback to the multimedia output.