How interface agents affect interaction between humans and computers

Forlizzi, Jodi; Zimmerman, John; Mancuso, Vince; Kwak, Sonya S.

doi:10.1145/1314161.1314180

Cited by 61 publications

(45 citation statements)

References 14 publications

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“…Similarly, Forlizzi et al (2007) find effects for agent appearance that reflect common gender stereotypes.…”

Section: Robot Appearancementioning

confidence: 90%

How People Talk with Robots: Designing Dialogue to Reduce User Uncertainty

Fischer

2011

AI Magazine

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If human-robot interaction is mainly shaped by users’ strategies to deal with their unfamiliar artificial com¬munication partner, as it is suggested here, robot dialog design should orient at reducing users’ uncertainty about the affordances of the robot and the joint task. Two experiments are presented that investigate the impact of verbal robot utterances on users’ behavior; results show that users react sensitively to subtle linguistic cues that may guide them into appropriate understandings of the robot. Furthermore, the role of user expectations and robot appearance are discussed in the light of the model presented.

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“…Similarly, Forlizzi et al (2007) find effects for agent appearance that reflect common gender stereotypes.…”

Section: Robot Appearancementioning

confidence: 90%

How People Talk with Robots: Designing Dialogue to Reduce User Uncertainty

Fischer

2011

AI Magazine

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“…Previous research has demonstrated that humans treat computers as if they were social actors, even though they do not exhibit anthropomorphic traits [5]. By adding a face and embodiment to an interface the social relationship between user and computer becomes even more explicit: clothing, facial expression, hairstyle, gender and age cues displayed by an agent bring the rich and complex world of human social interactions into the interface [6].…”

Section: Related Workmentioning

confidence: 99%

How the agent's gender influence users' evaluation of a QA system

Niculescu

Hofs

Dijk

et al. 2010

2010 International Conference on User Science and Engineering (I-USEr)

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Abstract--In this paper we present the results of a pilot study investigating the effects of agents' gender-ambiguous vs. gendermarked look on the perceived interaction quality of a multimodal question answering system. Eight test subjects interacted with three system agents, each having a feminine, masculine or gender-ambiguous look. The subjects were told each agent was representing a differently configured system. In fact, they were interacting with the same system. In the end, the subjects filled in an evaluation questionnaire and participated in an in-depth qualitative interview. The results showed that the user evaluation seemed to be influenced by the agent's gender look: the system represented by the feminine agent achieved on average the highest evaluation scores. On the other hand, the system represented by the gender-ambiguous agent was systematically lower rated. This outcome might be relevant for an appropriate agent look, especially since many designers tend to develop gender-ambiguous characters for interactive interfaces to match various users' preferences. However, additional empirical evidence is needed in the future to confirm our findings.

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“…The anthropomorphic design should be emphasized with the elements of presence and responses. Previous works related to the elements of presence on the anthropomorphic interfaces include the element of gender, ethnicity, facial attractiveness (Angeli & Khan, 2007;Forlizzi, Zimmerman, Mancuso, & Kwak, 2007;Qiu & Benbasat, 2010), and age (Yoo, Peña, & Drumwright, 2015). Meanwhile, previous works such as Cowell & Stanney (2005) Gong (2008) and Złotowski, Strasser, & Bartneck (2014) considered the eye contact, facial expression, posture, voice, emotion, and intelligence as the element of responses.…”

Section: Anthropomorphic Interfaces Gamificationmentioning

confidence: 99%

The Application of Anthropomorphic Gamification within Transitional Healthcare: A conceptual framework

Tuah¹,

Willis²,

Ranchhod³

2018

EAI Endorsed Transactions on Game-Based Learning

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This paper proposes a framework for the application of anthropomorphic interfaces in gamification for transitional healthcare. The framework bridges the theories around anthropomorphic research, gamification research, transitional health research, with the views of 15 field experts and a survey of 33 users. Patients in transitional healthcare process requires additional tools to assist them in following the transitional process, particularly in learning and managing their health condition. A different design of anthropomorphic interface applied within gamification could help to motivate the patients in going through their transition process, and thus may result in a change of behaviour towards self-manage. The framework consists of four factors; elements of an anthropomorphic interface, game elements for gamification, motivational elements, and requirements for transitional healthcare. Through triangulation of the literature, experts and users, these four factors were considered to be important and relevant elements of the framework. This validated the framework for anthropomorphic interfaces in gamification for transitional healthcare applications.

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How interface agents affect interaction between humans and computers

Cited by 61 publications

References 14 publications

How People Talk with Robots: Designing Dialogue to Reduce User Uncertainty

How People Talk with Robots: Designing Dialogue to Reduce User Uncertainty

How the agent's gender influence users' evaluation of a QA system

The Application of Anthropomorphic Gamification within Transitional Healthcare: A conceptual framework

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