Ghosts in the Machines: Towards a Taxonomy of Human Computer Interaction

Lessiter, Jane; Freeman, Jonathan; Miotto, Andrea; Ferrari, Eva

doi:10.1007/978-3-319-13500-7_2

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…Xu et al, however, postulate that a limit of only two actors is not suitable for grid computing [48]. Lessiter et al argue that symbiosis has no limit in the number of actors [26]. As there is no definite consensus, we assume a 1:1 relationship.…”

Section: Requirementsmentioning

confidence: 99%

Conceptualization of the Human-Machine Symbiosis – A Literature Review

Gerber¹,

Derckx²,

Döppner

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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The vision of a symbiotic partnership between humans and machines has existed since the 1960s. With this paper we provide the first conceptualization of the human-machine symbiosis (HMS) and make three important contributions: we present the fundamentals of HMS by focusing on objectives, requirements, and boundaries; we propose a framework for the design of HMS; and we review HMS research and, specifically, what the literature says with respect to whether HMS has already been achieved.

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Section: Requirementsmentioning

confidence: 99%

Conceptualization of the Human-Machine Symbiosis – A Literature Review

Gerber¹,

Derckx²,

Döppner

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…and engage customers. Researchers argue that robots will soon interact with humans in collaborative and socially-enriching ways, while both parties can learn from each other as they interact (Jacucci, Spagnolli, Freeman, & Gamberini, 2014;Lessiter, Freeman, Miotto, & Ferrari, 2014). Lesh et al (2004) further argue that, through such interactions, the robot can potentially draw and integrate the abilities, intentions and beliefs of humans.…”

Section: Implications For Retailers and Marketersmentioning

confidence: 99%

“…For instance, such robots might want to wear different clothes or accessories depending on the social occasion such as a date night. Moreover, as these robots learn more about their partners preferences through social interaction (Lessiter et al, 2014), their self is likely to integrate these perceptions and the robot may seek products and brands that enable them visually please the expectations of their romantic partner.…”

Section: Robot Consumersmentioning

confidence: 99%

Taking the fiction out of science fiction: (Self-aware) robots and what they mean for society, retailers and marketers

González-Jiménez

2018

Futures

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The development of human-like artificial intelligence has been a goal of computer scientists since the 1950s. Recent technological developments have led to an increased interest in the discourse on human-robot interactions, as robots equipped with artificial intelligence are expected to take a more prominent role in society. This article links insights from psychology and consumer behavior with recent developments in human-robot interactions. In doing so, the article first argues that humanoid robots will have a vast impact on society, specifically on the healthcare, educational and relationship sectors. The article also presents specific implications for retailers and marketers. Moreover, the article outlines examples on how human-robot interactions in the aforementioned sectors may be shaped once humanoid robots with artificial intelligence develop human like self-awareness. Finally, the article offers a viewpoint on how self-aware humanoid robots may even become active members of society that use brands as a means of self-expression; thus, suggesting that the notion of the consumer should be extended from humans to include self-aware humanoid robots.

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“…One of the aims of the MindSee project is to determine the proper metrics for assessing the usability of a symbiotic system. Symbiotic systems can be thought of as consisting of two main components: one reacting to direct users' inputs (i.e., their explicit behavior), and one interpreting and responding to users' affective and cognitive states through the online analysis of their neurophysiological data [59]. In other words, not only does the system react to explicit behavioral input, but it also collects users' physiological indices as an implicit input to infer users' cognitive and affective states [60].…”

Section: User Experience In Symbiotic Systemsmentioning

confidence: 99%

Developing a Symbiotic System for Scientific Information Seeking: The MindSee Project

Gamberini

Spagnolli

Blankertz

et al. 2015

Symbiotic Interaction

Self Cite

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This paper describes an approach for improving the current systems supporting the exploration and research of scientific literature, which generally adopt a query-based information-seeking paradigm. Our approach is to use a symbiotic system paradigm, exploiting central and peripheral physiological data along with eye-tracking data to adapt to users' ongoing subjective relevance and satisfaction with search results. The system described, along with the interdisciplinary theoretical work underpinning it, could serve as a stepping stone for the development and diffusion of next-generation symbiotic systems, enabling a productive interdependence between humans and machines. After introducing the concept and evidence informing the development of symbiotic systems over a wide range of application domains, we describe the rationale of the MindSee project, emphasizing its BCI component and pinpointing the criteria around which users' evaluations can gravitate. We conclude by summarizing the main contribution that MindSee is expected to make.

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Ghosts in the Machines: Towards a Taxonomy of Human Computer Interaction

Cited by 7 publications

References 10 publications

Conceptualization of the Human-Machine Symbiosis – A Literature Review

Conceptualization of the Human-Machine Symbiosis – A Literature Review

Taking the fiction out of science fiction: (Self-aware) robots and what they mean for society, retailers and marketers

Developing a Symbiotic System for Scientific Information Seeking: The MindSee Project

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