Re-Embodiment and Co-Embodiment

Luria, Michal; Reig, Samantha; Tan, Xiang Zhi; Steinfeld, Aaron; Forlizzi, Jodi; Zimmerman, John

doi:10.1145/3322276.3322340

Cited by 85 publications

(16 citation statements)

References 30 publications

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“…This matches with earlier studies indicating that people find it easier to interact with technology that resembles human-like characteristics [5]. In contrast to the users' disapproval of conversations amongst multiple agents in a task-oriented setting [17], players of our game were fond of this idea which we explain with the hedonic purpose of the game.…”

Section: Discussionsupporting

confidence: 88%

“…In a study by Luria et al, the researchers explored user perspectives on the co-embodiment of multiple voice assistant agents sharing one physical appearance. They encountered reluctance from the users when the agents conversed with each other as this was considered unnecessary in a task-oriented setting [17]. In another study on the user's behavior towards multiagent systems, Chaves and Gerosa [7] analyzed the change in speech and reactions of users to a multiplicity of chatbots compared to a single chatbot.…”

Section: Multi-agent Interactionmentioning

confidence: 99%

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Smells Like Team Spirit

Zargham

Bonfert

Volkmar

et al. 2020

Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play

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Verbal communication is a central component in collaborative multiplayer gaming and creates a feeling of companionship among the players. In single-player games, this aspect is often missing. Advancements in speech recognition now open new potentials for voice-activated single-player experiences. In this work, we integrated voice interaction to a single-player virtual reality (VR) game. To create a sense of team spirit, we enabled players to talk to a multiplicity of agents using natural language. We hypothesize that conversing with only one agent cannot produce the same level of camaraderie. We conducted a preliminary qualitative user study (=10) to explore how players experience talking with the in-game characters in the single-agent and the multi-agent condition. Early results suggest that our participants prefer interacting with the group of interlocutors. They perceived the multi-agent condition as more entertaining and liked the feeling of being part of a team. CCS CONCEPTS • Human-centered computing → Natural language interfaces; Virtual reality; • Applied computing → Computer games.

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Section: Discussionsupporting

confidence: 88%

Section: Multi-agent Interactionmentioning

confidence: 99%

Smells Like Team Spirit

Zargham

Bonfert

Volkmar

et al. 2020

Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play

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“…Team dynamics also change as robots become team members as opposed to tools [28][29][30]. Successful team collaboration needs to consider how human-robot and robot-robot interactions affect team dynamics.…”

Section: Human-robot Interaction (Hri)mentioning

confidence: 99%

“…For example, Tan et al found that covert information exchanges between robots in a human-robot team were less desirable than sharing information aloud [28]. Additionally, Luria et al found that participants prefer agents that reembody (move their social presence from body to body) rather than co-embody (move their social presence into a body that already contains another) [29]. Finally, shared cognition, or a shared understanding of the mental model between teammates," has been shown to be critical in effective human-robot collaboration [30].…”

Section: Human-robot Interaction (Hri)mentioning

confidence: 99%

A Query Conundrum: The Mental Challenges of Using a Cognitive Assistant

et al. 2021

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Cognitive assistants use vocal interfaces and artificial intelligence to assist humans with complex tasks. While much research has focused on the application of these devices, a few studies have addressed how these devices affect the way humans work. To fill this gap, this research studied the effects of a cognitive assistant on mental workload, frustration, and effort. Participants worked with a Wizard-of-Oz style assistant and completed the Wisconsin Card-Sorting Task and engaged in a peripheral-detection task in a two-sample study that compared participants (n = 21) who worked with the assistant to those who did not. Follow-up interviews were also completed. Results suggest that onboarding techniques, such as tutorials, are important for developing analogical trust before regular use. Additionally, results suggest that keeping the mental model of the CA clear, simple, and intuitive is important to reduce the mental effort that is required to account for the CA and interactions with it while working. Cognitive assistants offer a broad range of advantages but also have distinct challenges for users: primarily the lack of physical affordances that can be linked to functionality.

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“…Furthermore, embodied conversational agents (ECAs) (hereafter also called "virtual coach", "conversational agent" and "personal digital coach") are seen as promising solutions aimed at coaching people for a healthy lifestyle [38]. They are currently an excellent example of natural, personalized, and more human-like human-machine interaction systems ranging from chatbots and 2D/3D to fully articulated embodied conversational agents engaged in ambient-assisted living environments [39,40]. Indeed, ECAs differ from other technologies (e.g., wearable devices) for having the same proprieties as humans involved in conversations such as the capacities to exchange verbal and non-verbal communication.…”

Section: Introductionmentioning

confidence: 99%

User Requirements Analysis of an Embodied Conversational Agent for Coaching Older Adults to Choose Active and Healthy Ageing Behaviors during the Transition to Retirement: A Cross-National User Centered Design Study

Santini

Stara

Galassi

et al. 2021

IJERPH

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Background: Retirement is recognized as a factor influencing the ageing process. Today, virtual health coaching systems can play a pivotal role in supporting older adults’ active and healthy ageing. This study wants to answer two research questions: (1) What are the user requirements of a virtual coach (VC) based on an Embodied Conversational Agent (ECA) for motivating older adults in transition to retirement to adopt a healthy lifestyle? (2) How could a VC address the active and healthy ageing dimensions, even during COVID-19 times? Methods: Two-wave focus-groups with 60 end-users aged 55 and over and 27 follow-up telephone interviews were carried out in Austria, Italy and the Netherlands in 2019–2020. Qualitative data were analysed by way of framework analysis. Results: End-users suggest the VC should motivate older workers and retirees to practice physical activity, maintain social contacts and emotional well-being. The ECA should be reactive, customizable, expressive, sympathetic, not directive nor patronizing, with a pleasant and motivating language. The COVID-19 outbreak increased the users’ need for functions boosting community relationships and promoting emotional well-being. Conclusions: the VC can address the active and healthy ageing paradigm by increasing the chances of doing low-cost healthy activities at any time and in any place.

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Re-Embodiment and Co-Embodiment

Cited by 85 publications

References 30 publications

Smells Like Team Spirit

Smells Like Team Spirit

A Query Conundrum: The Mental Challenges of Using a Cognitive Assistant

User Requirements Analysis of an Embodied Conversational Agent for Coaching Older Adults to Choose Active and Healthy Ageing Behaviors during the Transition to Retirement: A Cross-National User Centered Design Study

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