The influence of social cues in persuasive social robots on psychological reactance and compliance

Ghazali, Aimi Shazwani; Ham, Jaap; Barakova, Emilia; Markopoulos, Panos

doi:10.1016/j.chb.2018.05.016

Cited by 65 publications

(45 citation statements)

References 36 publications

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“…If the agent is a person, the attributes influencing the quality of interaction can be the length of the relationship (early encounters or later interactions), the character of the person, the aesthetics of the person (Dion et al, 1972), the degree of mutuality of his/her behavior. If the agent is a social robot, the characteristics influencing the quality of interaction can be the term of exposure to the interaction (i.e., short-term vs long-term), the social cues that the robot displays (Ghazali et al, 2017a and2018a), the language it uses (Ghazali et al, 2017a and2017b), its appearance (Wu et al, 2012;Wrobel et al, 2013;Ghazali et al, 2018b), the reciprocity of its behavior (Leite et al, 2014), and its contingent responsiveness (Díaz-Boladeras, 2017).…”

Section: Engagement With An Agentmentioning

confidence: 99%

ENGAGE-DEM: A Model of Engagement of People With Dementia

Perugia

Boladeras

Catala-Mallofre

et al. 2022

IEEE Trans. Affective Comput.

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ADVERTIMENT La consulta d'aquesta tesi queda condicionada a l'acceptació de les següents condicions d'ús: La difusió d'aquesta tesi per mitjà del r e p o s i t o r i i n s t i t u c i o n a l UPCommons (http://upcommons.upc.edu/tesis) i el repositori cooperatiu TDX ( h t t p : / / w w w . t d x . c a t / ) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d'investigació i docència. No s'autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d'un lloc aliè al servei UPCommons o TDX. No s'autoritza la presentació del seu contingut en una finestra o marc aliè a UPCommons (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora.ADVERTENCIA La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del repositorio institucional UPCommons (http://upcommons.upc.edu/tesis) y el repositorio cooperativo TDR (http://www.tdx.cat/?locale-attribute=es) ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio UPCommons No se autoriza la presentación de su contenido en una ventana o marco ajeno a UPCommons (framing). Esta reserva de derechos afecta tanto al resumen de presentación de la tesis como a sus contenidos. En la utilización o cita de partes de la tesis es obligado indicar el nombre de la persona autora.WARNING On having consulted this thesis you're accepting the following use conditions: Spreading this thesis by the i n s t i t u t i o n a l r e p o s i t o r y UPCommons

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Section: Engagement With An Agentmentioning

confidence: 99%

ENGAGE-DEM: A Model of Engagement of People With Dementia

Perugia

Boladeras

Catala-Mallofre

et al. 2022

IEEE Trans. Affective Comput.

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“…Earlier works [54][55][56] reported both positive and negative responses to social cues in robots. Perhaps counter-intuitively, the studies by Ghazali et al [14,25,57] suggested that persuasive robots were more effective when endowed with only minimal social cues such as eye-blinking rather than implementing several cues at once, e.g., combining head movement, eye expression and intonation in the voice. Further, it has been shown that persuasive robots should be designed with likable social features such as having a neutral face (less expressive) and facial characteristics that were known to evoke trust (see [58]).…”

Section: The Current Studymentioning

confidence: 99%

“…Using the social cues that were found to be positively perceived by humans in the earlier studies [14,25,57], this study mainly aims to extend the technology acceptance (TAM) to account for the influence of social responses onwards the persuasive robot. This study is developed to:…”

Section: The Current Studymentioning

confidence: 99%

“…On the other hand, we can expect that users may have the interest to touch a robot or show affective response (such as highly engage) with a robot that makes them happy. Related studies [13,14,25] demonstrated how social cues displayed by robots could influence the affective responses toward persuasive robots. Persuasive robots with minimal social cues, for example, evoked less reactance compared to persuasive robots with enhanced social cues in a decision-making game [26].…”

Section: Introductionmentioning

confidence: 99%

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Persuasive Robots Acceptance Model (PRAM): Roles of Social Responses Within the Acceptance Model of Persuasive Robots

Ghazali

Ham

Barakova

et al. 2020

Int J of Soc Robotics

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In the last years, there have been rapid developments in social robotics, which bring about the prospect of their application as persuasive robots to support behavior change. In order to guide related developments and pave the way for their adoption, it is important to understand the factors that influence the acceptance of social robots as persuasive agents. This study extends the technology acceptance model by including measures of social responses. The social responses include trusting belief, compliance, liking, and psychological reactance. Using the Wizard of Oz method, a laboratory experiment was conducted to evaluate user acceptance and social responses towards a social robot called SociBot. This robot was used as a persuasive agent in making decisions in donating to charities. Using partial least squares method, results showed that trusting beliefs and liking towards the robot significantly add the predictive power of the acceptance model of persuasive robots. However, due to the limitations of the study design, psychological reactance and compliance were not found to contribute to the prediction of persuasive robots' acceptance. Implications for the development of persuasive robots are discussed.

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“…The participants were then asked to write down their thoughts after being persuaded by the robot and to label each thought as positive (P), neutral (Neu) or negative (N). Only negative cognitions were counted in calculating the psychological reactance score using the steps taken by Dillard and Shen (2005) [20] (see also [53]).…”

Section: Psychological Reactancementioning

confidence: 99%

Assessing the effect of persuasive robots interactive social cues on users’ psychological reactance, liking, trusting beliefs and compliance

Ghazali

Ham²,

Barakova

et al. 2019

Advanced Robotics

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Research in the field of social robotics suggests that enhancing social cues in robots can elicit more social responses in users. It is however not clear how users respond socially to persuasive social robots and whether such reactions will be more pronounced when the robots feature more interactive social cues. In the current research, we examine social responses towards persuasive attempts provided by a robot featuring different numbers of interactive social cues. A laboratory experiment assessed participants' psychological reactance, liking, trusting beliefs and compliance toward a persuasive robot that either presented users with: no interactive social cues (random head movements and random social praises), low number of interactive social cues (head mimicry), or high number of interactive social cues (head mimicry and proper timing for social praise). Results show that a persuasive robot with the highest number of interactive social cues invoked lower reactance and was liked more than the robots in the other two conditions. Furthermore, results suggest that trusting beliefs towards persuasive robots can be enhanced by utilizing praise as presented by social robots in no interactive social cues and high number of interactive social cues conditions. However, interactive social cues did not contribute to higher compliance. ARTICLE HISTORY

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The influence of social cues in persuasive social robots on psychological reactance and compliance

Cited by 65 publications

References 36 publications

ENGAGE-DEM: A Model of Engagement of People With Dementia

ENGAGE-DEM: A Model of Engagement of People With Dementia

Persuasive Robots Acceptance Model (PRAM): Roles of Social Responses Within the Acceptance Model of Persuasive Robots

Assessing the effect of persuasive robots interactive social cues on users’ psychological reactance, liking, trusting beliefs and compliance

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