Kenton Williams's research while affiliated with Massachusetts Institute of Technology and other places
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Publications (4)
Humans can be deeply influenced by affective behaviors during social interaction. Specifically, emotional cues from others can be a powerful way to persuade people to modify their behaviors. With this motivation in mind, we explore how a social robot called AIDA (Affective Intelligent Driving Agent) can better persuade drivers to adhere to road saf...
This work outlines the development of an Affective Intelligent Driving Agent (AIDA), a social robot that sits in a vehicle’s dashboard and behaves as a friendly assistant. This highly expressive robot uses an Android smartphone as its face, which serves as the main computational unit for the system. AIDA determines what information may be relevant...
This paper presents AIDA (Affective Intelligent Driving Agent), a social robot that acts as a friendly, in-car companion. AIDA is designed to use the driver's mobile device as its face. The phone displays facial expressions and is the main computational unit to manage information presented to the driver. We conducted an experiment in which particip...
This work outlines the development of a reasoning architecture that uses physics-, social-, and agent capability-based knowledge to generate manipulation strategies for a dexterous robot. The architecture learns object affordances through human observations, imposed constraints, and hardcoded physics logic. Human observations are also used to devel...
Citations
... Driver assistance systems have evolved from human-machine interaction to human-robot interaction (Figure 1), and automakers have begun using robots as the interface of driver assistance systems. The research of Williams et al. showed that dynamic robots ( Figure 2) had a significant impact on reducing the user's cognitive load and distractions [4]. These robots are generally anthropomorphic and, thus, more like human passengers, which enhances the driver's concern for safe driving [5][6][7]. ...
... For example, Chattaraman et al. [10] used a friendly and informal conversational style as a means to increase performance in a pragmatic task (i.e., online shopping), and Karatas et al. [32] uses social dialogue in the car to reduce cognitive load. In general, in-vehicle VAs are extensively studied due to their ability to convey information through auditory resources and consequently reduce drivers' cognitive load or increase safety [7,32,39,40,78,79]. In this sense, social elements such as small talk [40], emotion expression [78], the creation of digital "personalities" [7], or robots on the dashboard as emotional companions [8,55,79] are used practically as means to reduce task load or to improve the user experience, trust in, and acceptance of technology while driving. ...
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... Yasir Tahir yasir001@e.ntu.edu.sg 1 Institute for Media Innovation, Nanyang Technological University, Singapore, Singapore 2 School for Electronics and Electrical Engineering, Nanyang Technological University, Singapore, Singapore With increasing demand for robots for domestic environments, research on human-robot interaction (HRI) has gained more importance. In order to enhance human-robot interaction, the need for integration of social intelligence in such robots has become a necessity [7][8][9]. Socially intelligent robots should effectively engage with humans and maintain a natural interaction with them over extended periods of time. ...
... Festerling & Siraj, 2021;Waytz et al., 2014). However, studies comparing embodied agents integrating visual cues with non-embodied voice-only agents show inconsistent findings regarding users' perception and experience: While Williams et al. (2013) reported that the embodied robot was perceived as friendlier than the voice-only agent, Dong et al. (2020) observed embodied robot agents to be perceived less likeable, less comfortable, and less competent than voice-only agents. Research considering the impact of speech-based cues on SoA is limited. ...
