The impact of animated interface agents: a review of empirical research
By D. Dehn, Susanne van Mulken. Int. J. Hum. Comput. Stud., 2000
651 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering, Social Psychology
View Paper: https://www.semanticscholar.org/paper/2dbd7fb89579f5327884f9037bf14cae5ae21a40
How researchers see this paper
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In Artificial Intelligence
- Timothy W. Bickmore
- Izak Benbasat
- Xiangen Hu
- Benjamin D. Nye
- Lingyun Qiu
- Jan L. Plass
- Justine Cassell
- Steffi Heidig
In Control and Systems Engineering
- Timothy W. Bickmore
- Justine Cassell
- Christoph Bartneck
- Martin Saerbeck
- Martin Reisslein
- Brian Scassellati
- Darren P. Cosker
- Rosalind W. Picard
In Social Psychology
- Timothy W. Bickmore
- Jan L. Plass
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- Kerri Clough-Gorr
- Tim-Tomas Heeren
- Steffi Heidig
- Geraldine Clarebout
- Brian Scassellati
Citations in the corpus
- Emotional design in multimedia learning: Effects of shape and color on affect and learning (2014, background): “Similarly, anthropomorphic computer interfaces have been found to better attract users’ attention and to better engage them in active tasks than nonanthropomorphic interfaces (Dehn & Van Mulken, 2000).”
- Interactivity in human–computer interaction: a study of credibility, understanding, and influence (2000, result): “There is some evidence for this assertion in a recent survey of the literature on the e(cid:128)ects of animated agents by Dehn and van Mulken (2000).”
- Relational agents: a model and implementation of building user trust (2001, background): “Dehn and van Mulken [13], specifically examining evaluations of recent animated interface agents, conclude that the benefits of these systems are arguable in terms of user performance, engagement with the system, or even attributions of intelligence.”
- Evaluating Anthropomorphic Product Recommendation Agents: A Social Relationship Perspective to Designing Information Systems (2009, background): “Particularly in the domains of computer games and multimedia tutoring systems, the accompanying of an anthropomorphic agent significantly increases the entertainment value of an interface [30].”
- A Survey on Conversational Recommender Systems (2020, background): “ed conversational agents (ECAs) [19] as an additional output mechanism is also not uncommon in the literature [40, 51], e.g., because of the assumed general persuasive potential of human-like avatars [2, 38]. Various factors can impact the effectiveness of such ECAs. In [42], for example, the author”
- Faces engage us: photos with faces attract more likes and comments on Instagram (2014, background): “In a review study of embodied agents [18], authors reported that adding an embodied agent to an interface made the experience more engaging.”
- 'It's just like you talk to a friend' relational agents for older adults (2005, background): “Although many studies of social and embodied agents have shown these effects in brief interactions (Dehn & Mulken, 2000), an important question raised by this research is whether these results are durable or not; that is, they may simply be the result of a novelty effect that quickly wears off.”
- AutoTutor and Family: A Review of 17 Years of Natural Language Tutoring (2014, background): “AutoTutor emerged during a wave of research on animated interface agents (Dehn and Van Mulken 2000; Johnson et al. 2000; Nwana 1996), a trend that continued within educational technology and ITS specifically.”
- Effects of Dynamic Attributes of Smiles in Human and Synthetic Faces: A Simulated Job Interview Setting (2009, background): “Blascovich, 2001; Dehn & van Mulken, 2000 ) more human-like, with photorealistic faces”
- Do pedagogical agents make a difference to student motivation and learning (2011, background): “…and learning outcomes due to the social cues they provide (e.g., Atkinson, 2002; Baylor & Kim, 2005; Craig et al., 2002; Johnson et al., 2000), others express concerns that they may distract the learner from the learning content (Dehn & van Mulken, 2000; Walker, Sproull, & Subramani, 1994).”
- Emotional design in multimedia learning. (2012, background): “A common view of emotions is that they are generated by people’s judgment about the world and initiated by an individual’s appraisal in response to and interaction with a stimulus, such as the material with which the individual is learning (Desmet, 2002; Frijda, 1993; Lazarus, 1991; Oatley & Johnson”