An investigation into the efficacy of avatar-based systems for student advice

Student support is an important function in all universities. Most students expect access to support 24/7, but support staff cannot be available at all times of day. This paper addresses this problem, describing the development of an avatar-based system to guide students through the materials provided by a university student employability service. Firstly, students and staff were surveyed to establish the demand for such a system. The system was then constructed. Finally, the system was evaluated by students and staff, which led to a clearer understanding of the optimal role for avatar-based systems and consequent improvements to the system’s functionality

Embodiment, Cognition and the World Wide Web

Cognitive embodiment refers to the hypothesis that cognitive processes of all kinds are rooted in perception and action. Recent findings in cognitive neuroscience revealed that the motor cortex, long confined to the mere role of action programming and execution, in fact, plays a crucial role in complex cognitive abilities

Investigating How Speech And Animation Realism Influence The Perceived Personality Of Virtual Characters And Agents

The portrayed personality of virtual characters and agents is understood to influence how we perceive and engage with digital applications. Understanding how the features of speech and animation drive portrayed personality allows us to intentionally design characters to be more personalized and engaging. In this study, we use performance capture data of unscripted conversations from a variety of actors to explore the perceptual outcomes associated with the modalities of speech and motion. Specifically, we contrast full performance-driven characters to those portrayed by generated gestures and synthesized speech, analysing how the features of each influence portrayed personality according to the Big Five personality traits. We find that processing speech and motion can have mixed effects on such traits, with our results highlighting motion as the dominant modality for portraying extraversion and speech as dominant for communicating agreeableness and emotional stability. Our results can support the Extended Reality (XR) community in development of virtual characters, social agents and 3D User Interface (3DUI) agents portraying a range of targeted personalities

Chapter 13 Haptic Creatures

Collaborations between entertainment industries and artificial intelligence researchers in Japan have since the mid-1990s produced a growing interest in modeling affect and emotion for use in mass-produced social robots. Robot producers and marketers reason that such robot companions can provide comfort, healing (iyashi), and intimacy in light of attenuating social bonds and increased socioeconomic stress characteristic of Japanese society since the collapse of the country’s bubble economy in the early 1990s. While many of these robots with so-called “artificial emotional intelligence” are equipped with rudimentary capacities to “read” predefined human emotion through such mechanisms as facial expression recognition, a new category of companion robots are more experimental. These robots do not interpret human emotion through affect-sensing software but rather invite human-robot interaction through affectively pleasing forms of haptic feedback. These new robots are called haptic creatures: robot companions designed to deliver a sense of comforting presence through a combination of animated movements and healing touch. Integrating historical analysis with ethnographic interviews with new users of these robots, and focusing in particular on the cat-like cushion robot Qoobo, this chapter argues that while companion robots are designed in part to understand specific human emotions, haptic creatures are created as experimental devices that can generate new and unexpected pleasures of affective care unique to human-robot relationships. It suggests that this distinction is critical for understanding and evaluating how corporations seek to use human-robot affect as a means to deliver care to consumers while also researching and building new markets for profit maximization

Learning in a Landscape: Simulation-building as Reflexive Intervention

This article makes a dual contribution to scholarship in science and technology studies (STS) on simulation-building. It both documents a specific simulation-building project, and demonstrates a concrete contribution to interdisciplinary work of STS insights. The article analyses the struggles that arise in the course of determining what counts as theory, as model and even as a simulation. Such debates are especially decisive when working across disciplinary boundaries, and their resolution is an important part of the work involved in building simulations. In particular, we show how ontological arguments about the value of simulations tend to determine the direction of simulation-building. This dynamic makes it difficult to maintain an interest in the heterogeneity of simulations and a view of simulations as unfolding scientific objects. As an outcome of our analysis of the process and reflections about interdisciplinary work around simulations, we propose a chart, as a tool to facilitate discussions about simulations. This chart can be a means to create common ground among actors in a simulation-building project, and a support for discussions that address other features of simulations besides their ontological status. Rather than foregrounding the chart's classificatory potential, we stress its (past and potential) role in discussing and reflecting on simulation-building as interdisciplinary endeavor. This chart is a concrete instance of the kinds of contributions that STS can make to better, more reflexive practice of simulation-building.Comment: 37 page