Physiological Measurement of Trust-Related Behavior in Trust-Neutral and Trust-Critical Situations

Leichtenstern, Karin; Bee, Nikolaus; André, Elisabeth; Berkmüller, Ulrich; Wagner, Johannes

doi:10.1007/978-3-642-22200-9_14

Cited by 18 publications

(10 citation statements)

References 9 publications

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“…In relation to the trust rate, the two-tailed t-test showed there were significant differences where the trust rates in both the high trust conditions, HTLCL (M=$1617.9, SD=$448. 5 HTHCL))).…”

Section: Preliminary Analysis and Resultsmentioning

confidence: 99%

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Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment

Khawaji

Zhou

Chen

et al. 2015

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

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Exchanging text messages via software on smart phones and computers has recently become one of the most popular ways for people to communicate and accomplish their tasks. However, there are negative aspects to using this kind of software, for example, it has been found that people communicating in the textchat environment may experience a lack of trust and may face different levels of cognitive load [1,11]. This study examines a novel way to measure interpersonal trust and cognitive load when they overlap with each other in the text-chat environment. We used Galvanic Skin Response (GSR), a physiological measurement, to collect data from twenty-eight subjects at four gradients and overlapping conditions between trust and cognitive load. The findings show that the GSR signals were significantly affected by both trust and cognitive load and provide promising evidence that GSR can be used as a tool for measuring interpersonal trust when cognitive load is low and also for measuring cognitive load when trust is high.

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Section: Preliminary Analysis and Resultsmentioning

confidence: 99%

“…In relation to using physiological signals to measure trust, researchers found that when they examined eye gaze during web page browsing, people maintained more continuous focus on the pages that they trusted [5]. Also, the ability to measure cognitive load via GSR values is explored.…”

Section: Background Literaturementioning

confidence: 99%

Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment

Khawaji

Zhou

Chen

et al. 2015

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

View full text Add to dashboard Cite

show abstract

“…observable user behaviors. In our earlier work [35], we investigated various physiological patterns as an indicator of trust felt by a user when viewing web pages. As a next step, we will concentrate on the identification of behavioral factors from which experience-based user trust might be derived in ubiquitous display environments, such as the time spent in front of a public display or the number of downloads.…”

Section: Resultsmentioning

confidence: 99%

Trust-based Decision-making for the Adaptation of Public Displays in Changing Social Contexts

Wißner

Hammer

Kurdyukova

et al. 2014

Journal of Trust Management

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Public displays may adapt intelligently to the social context, tailoring information on the screen, for example, to the profiles of spectators, their gender or based on their mutual proximity. However, such adaptation decisions should on the one hand match user preferences and on the other maintain the user's trust in the system. A wrong decision can negatively influence the user's acceptance of a system, cause frustration and, as a result, make users abandon the system. In this paper, we propose a trust-based mechanism for automatic decision-making, which is based on Bayesian Networks. We present the process of network construction, initialization with empirical data, and validation. The validation demonstrates that the mechanism generates accurate decisions on adaptation which match user preferences and support user trust.

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“…For example, human observers tend to prefer items that a trusted individual looks at, as opposed to an untrusted one [King et al 2011]. They also make shorter duration eye fixations while viewing untrusted websites [Leichtenstern et al 2011]. Individuals cooperating in a game look at each other approximately twice as long as individuals engaged in competition [Foddy 1978].…”

Section: Related Workmentioning

confidence: 99%

Evaluating perceived trust from procedurally animated gaze

Normoyle

Badler

Fan

et al. 2013

Proceedings of Motion on Games

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Adventure role playing games (RPGs) provide players with increasingly expansive worlds, compelling storylines, and meaningful fictional character interactions. Despite the fast-growing richness of these worlds, the majority of interactions between the player and non-player characters (NPCs) still remain scripted. In this paper we propose using an NPC's animations to reflect how they feel towards the player and as a proof of concept, investigate the potential for a straightforward gaze model to convey trust. Through two perceptual experiments, we find that viewers can distinguish between high and low trust animations, that viewers associate the gaze differences specifically with trust and not with an unrelated attitude (aggression), and that the effect can hold for different facial expressions and scene contexts, even when viewed by participants for a short (five second) clip length. With an additional experiment, we explore the extent that trust is uniquely conveyed over other attitudes associated with gaze, such as interest, unfriendliness, and admiration. AbstractAdventure role playing games (RPGs) provide players with increasingly expansive worlds, compelling storylines, and meaningful fictional character interactions. Despite the fast-growing richness of these worlds, the majority of interactions between the player and non-player characters (NPCs) still remain scripted. In this paper we propose using an NPC's animations to reflect how they feel towards the player and as a proof of concept, investigate the potential for a straightforward gaze model to convey trust. Through two perceptual experiments, we find that viewers can distinguish between high and low trust animations, that viewers associate the gaze differences specifically with trust and not with an unrelated attitude (aggression), and that the effect can hold for different facial expressions and scene contexts, even when viewed by participants for a short (five second) clip length. With an additional experiment, we explore the extent that trust is uniquely conveyed over other attitudes associated with gaze, such as interest, unfriendliness, and admiration.

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Physiological Measurement of Trust-Related Behavior in Trust-Neutral and Trust-Critical Situations

Cited by 18 publications

References 9 publications

Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment

Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment

Trust-based Decision-making for the Adaptation of Public Displays in Changing Social Contexts

Evaluating perceived trust from procedurally animated gaze

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