The quest for appropriate models of human-likeness: anthropomorphism in media equation research

Klowait, Nils Oliver

doi:10.1007/s00146-017-0746-z

Cited by 14 publications

(3 citation statements)

References 24 publications

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“…Cues of humanness support cognitive processes and encourage people to apply social rules (Nass and Moon 2000 ). Whereas the classical media equation theory pointed out that simple cues are sufficient for a social response from humans, recent research focusses on the implementation of additional and more complex cues to trigger more specific responses (Klowait 2018 ). In sum, the CASA paradigm supports the claim that multimedia environments can trigger social processes even if there is no real group situation with other people present.…”

Section: Fundamental Theories On Social Processes In Digital Environmentsmentioning

confidence: 99%

The Cognitive-Affective-Social Theory of Learning in digital Environments (CASTLE)

et al. 2021

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For a long time, research on individuals learning in digital environments was primarily based on cognitive-oriented theories. This paper aims at providing evidence that social processes affect individual learning with digital materials. Based on these theories and empirical results, a social-processes-augmented theory is suggested: the Cognitive-Affective-Social Theory of Learning in digital Environments (CASTLE). This CASTLE postulates that social cues in digital materials activate social schemata in learners leading to enhanced (para-)social, motivational, emotional, and metacognitive processes. To substantiate this theory, socio-cognitive theories are used, which predict social influences on learning with digital materials. Besides, previous empirical findings are presented assuming that with a rising number of social cues in digital materials, the influence of social processes increases. Finally, consequences regarding the design of digital learning media are discussed.

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Section: Fundamental Theories On Social Processes In Digital Environmentsmentioning

confidence: 99%

The Cognitive-Affective-Social Theory of Learning in digital Environments (CASTLE)

et al. 2021

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“…Interactions, i.e. “the capacity to react to what was and is being said and done” [ 16 ] therefore have the potential to be designed to have robots behave in more desirable ways when collaborating with humans. Anthropomorphism refers to people relating with non-human entities in similar ways as if these were humans and, with regard to humans, “involves the tendency to attribute human characteristics to robots” [ 17 ].…”

Section: Related Workmentioning

confidence: 99%

Human-Like Movements of Industrial Robots Positively Impact Observer Perception

Hostettler

Mayer

Hildebrand

2022

Int J of Soc Robotics

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The number of industrial robots and collaborative robots on manufacturing shopfloors has been rapidly increasing over the past decades. However, research on industrial robot perception and attributions toward them is scarce as related work has predominantly explored the effect of robot appearance, movement patterns, or human-likeness of humanoid robots. The current research specifically examines attributions and perceptions of industrial robots—specifically, articulated collaborative robots—and how the type of movements of such robots impact human perception and preference. We developed and empirically tested a novel model of robot movement behavior and demonstrate how altering the movement behavior of a robotic arm leads to differing attributions of the robot’s human-likeness. These findings have important implications for emerging research on the impact of robot movement on worker perception, preferences, and behavior in industrial settings.

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“…One of these interventions occurred in the mid-1990s: the discipline of conversation analysis then attempted, with only moderate success, to establish itself as a resource for the study of naturally-occurring device use, and as a toolset for the development of more humanlike interactional technologies [see Klowait, 2018b]. This review will investigate both the reasons for the lack of universal adoption of conversation analysis as the go-to conceptual toolset for HCI, as well as the emerging trends that point to an upcoming conversation-analytic renaissance in the field.…”

Section: Introductionmentioning

confidence: 99%

The Rise of Interactional Multimodality in Human-Computer Interaction

Klowait

Erofeeva

2021

MONITORING OF PUBLIC OPINION

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The field of human-computer interaction (HCI) investigates the intersection between the design of devices and users. From an early focus on interaction modeling based on psychological experiments, the field has since experienced a shift towards the study of how actual humans interact with autonomous devices. The field became conductive to ethnographic, observational and videographic studies of human-device interaction. Conversation-analytic HCI became possible. That said, this new wave of researchers was never truly able to dethrone the psychological common sense of the field. With recent developments in both the technical-sensorial capabilities and outward actuational range of embodied virtual agents, the field of HCI has once again returned to the question of the sequential unfolding of the interaction between users and intelligent agents, and the multimodal interactional repertoire that is deployed throughout. This review will highlight the situational orientation of high-impact research in the field, and relate it to the cotemporaneous development of ethnomethodological and conversation analytic frameworks. Acknowledgments. The article was prepared in the framework of a research grant funded by the Ministry of Science and Higher Education of the Russian Federation (grant ID: 075-15-2020-908). The article was prepared in cooperation with the Sber (ex. – Sberbank’s) Gamification Lab.

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The quest for appropriate models of human-likeness: anthropomorphism in media equation research

Cited by 14 publications

References 24 publications

The Cognitive-Affective-Social Theory of Learning in digital Environments (CASTLE)

The Cognitive-Affective-Social Theory of Learning in digital Environments (CASTLE)

Human-Like Movements of Industrial Robots Positively Impact Observer Perception

The Rise of Interactional Multimodality in Human-Computer Interaction

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