Affective Conversational Agents: Understanding Expectations and Personal Influences

The rise of AI conversational agents has broadened opportunities to enhance human capabilities across various domains. As these agents become more prevalent, it is crucial to investigate the impact of different affective abilities on their performance and user experience. In this study, we surveyed 745 respondents to understand the expectations and preferences regarding affective skills in various applications. Specifically, we assessed preferences concerning AI agents that can perceive, respond to, and simulate emotions across 32 distinct scenarios. Our results indicate a preference for scenarios that involve human interaction, emotional support, and creative tasks, with influences from factors such as emotional reappraisal and personality traits. Overall, the desired affective skills in AI agents depend largely on the application's context and nature, emphasizing the need for adaptability and context-awareness in the design of affective AI conversational agents

Responses and Influences: A Model of Online Information Use for Learning

Introduction. This paper explores the complexity of online information use for learning in the culturally diverse ICT-intensive higher education context. It presents a Model of responses and influences in online information use for learning that aims to increase awareness of the complexity of online information use and support information literacy development. Background. Despite increasing integration of information literacy into university curricula there are evident limitations in students’ use of information associated with an information literacy imbalance between well developed IT skills & uncritical approaches, compounded by differences in cultural and linguistic experience. Influences. This model draw insight from models of: information behaviour/seeking (Wilson, Foster, Kuhlthau), information literacy (Bruce), cross-cultural adaptation (Anderson), reflective online use (Hughes, Bruce & Edwards). The model. Incorporates behavioural, cognitive & affective responses with cultural & linguistic influences in an action research framework that represents online information use - envisaged as the experience of engaging with online information for learning - as holistic, dynamic and continuous. Conclusion. The model represents the synergy between information use and learning. It supports the development of inclusive reflective approaches to information literacy that address identified learning challenges related to information literacy imbalance and cultural & linguistic diversity

The development of a rich multimedia training environment for crisis management: using emotional affect to enhance learning

PANDORA is an EU FP7-funded project developing a novel training and learning environment for Gold Commanders, individuals who carry executive responsibility for the services and facilities identified as strategically critical e.g. Police, Fire, in crisis management strategic planning situations. A key part of the work for this project is considering the emotional and behavioural state of the trainees, and the creation of more realistic, and thereby stressful, representations of multimedia information to impact on the decision-making of those trainees. Existing training models are predominantly paper-based, table-top exercises, which require an exercise of imagination on the part of the trainees to consider not only the various aspects of a crisis situation but also the impacts of interventions, and remediating actions in the event of the failure of an intervention. However, existing computing models and tools are focused on supporting tactical and operational activities in crisis management, not strategic. Therefore, the PANDORA system will provide a rich multimedia information environment, to provide trainees with the detailed information they require to develop strategic plans to deal with a crisis scenario, and will then provide information on the impacts of the implementation of those plans and provide the opportunity for the trainees to revise and remediate those plans. Since this activity is invariably multi-agency, the training environment must support group-based strategic planning activities and trainees will occupy specific roles within the crisis scenario. The system will also provide a range of non-playing characters (NPC) representing domain experts, high-level controllers (e.g. politicians, ministers), low-level controllers (tactical and operational commanders), and missing trainee roles, to ensure a fully populated scenario can be realised in each instantiation. Within the environment, the emotional and behavioural state of the trainees will be monitored, and interventions, in the form of environmental information controls and mechanisms impacting on the stress levels and decisionmaking capabilities of the trainees, will be used to personalise the training environment. This approach enables a richer and more realistic representation of the crisis scenario to be enacted, leading to better strategic plans and providing trainees with structured feedback on their performance under stress

Motor expressions as creativity support: Exploring the potential for physical interaction

This research explores the effects of physical interactions designed on the basis of motor expressions to support creative ideation in creativity support technologies. The presented research looks into the effects on creative ideation of incompatibility between motor expressions and problem situations, and appraisals of (un)pleasantness. We report the results of a preliminary study which suggests that affective incompatibility between a problem situation and a motor expression benefits creative ideation, and that pleasantness motor expressions enhance task enjoyment, which in turn leads to a beneficial effect on the originality of ideas generated. Based on these results, we conclude with two new directions for the design of physical interactions with novel creativity support technologies

Choreographic and Somatic Approaches for the Development of Expressive Robotic Systems

As robotic systems are moved out of factory work cells into human-facing environments questions of choreography become central to their design, placement, and application. With a human viewer or counterpart present, a system will automatically be interpreted within context, style of movement, and form factor by human beings as animate elements of their environment. The interpretation by this human counterpart is critical to the success of the system's integration: knobs on the system need to make sense to a human counterpart; an artificial agent should have a way of notifying a human counterpart of a change in system state, possibly through motion profiles; and the motion of a human counterpart may have important contextual clues for task completion. Thus, professional choreographers, dance practitioners, and movement analysts are critical to research in robotics. They have design methods for movement that align with human audience perception, can identify simplified features of movement for human-robot interaction goals, and have detailed knowledge of the capacity of human movement. This article provides approaches employed by one research lab, specific impacts on technical and artistic projects within, and principles that may guide future such work. The background section reports on choreography, somatic perspectives, improvisation, the Laban/Bartenieff Movement System, and robotics. From this context methods including embodied exercises, writing prompts, and community building activities have been developed to facilitate interdisciplinary research. The results of this work is presented as an overview of a smattering of projects in areas like high-level motion planning, software development for rapid prototyping of movement, artistic output, and user studies that help understand how people interpret movement. Finally, guiding principles for other groups to adopt are posited.Comment: Under review at MDPI Arts Special Issue "The Machine as Artist (for the 21st Century)" http://www.mdpi.com/journal/arts/special_issues/Machine_Artis

A Foundation for Emotional Expressivity

To express emotions to others in mobile text messaging in our view require designs that can both capture some of the ambiguity and subtleness that characterizes emotional interaction and keep the media specific qualities. Through the use of a body movement analysis and a dimensional model of emotion experiences, we arrived at a design for a mobile messaging service, eMoto. The service makes use of the sub-symbolic expressions; colors, shapes and animations, for expressing emotions in an open-ended way. Here we present the design process and a user study of those expressions, where the results show that the use of these sub-symbolic expressions can work as a foundation to use as a creative tool, but still allowing for the communication to be situated. The inspiration taken from body movements proved to be very useful as a design input. It was also reflected in the way our subjects described the expressions

Sensor Sleeve: Sensing Affective Gestures

We describe the use of textile sensors mounted in a garment sleeve to detect affective gestures. The `Sensor Sleeve' is part of a larger project to explore the role of affect in communications. Pressure activated, capacitive and elasto-resistive sensors are investigated and their relative merits reported on. An implemented application is outlined in which a cellphone receives messages derived from the sleeve's sensors using a Bluetooth interface, and relays the signals as text messages to the user's nominated partner