Leveraging Nonverbal Signals for Hands-Free Input in Digital Surveys

Collecting end-user feedback is crucial for assessing the acceptance and viability of any product or service. In the digital realm, Likert scale surveys are the most common method for gathering feedback, with end users explicitly selecting their responses using a mouse or touch input. Conversely, in social environments, nonverbal interactions are often used as an intuitive means of expressing agreement or disagreement. In this work, we explore the utilization of nonverbal interactions such as facial expressions and head gestures as a novel approach to elicit user responses in digital surveys. This presents a valuable hands-free alternative for obtaining public feedback in a non-intrusive manner, particularly enabling individuals with motor impairments to participate in surveys. We outline our framework and the evaluation study with 16 participants to assess the acceptance and feasibility of the proposed hands-free method for responding to Likert scale survey questions.