Marc T. P. Adam
University of Newcastle
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Featured researches published by Marc T. P. Adam.
Electronic Markets | 2011
Marc T. P. Adam; Jan Krämer; Caroline Jähnig; Stefan Seifert; Christof Weinhardt
Auction fever is a multifaceted phenomenon that is frequently observed in both traditional and Internet auctions. In order to gain a better understanding of its causes, we develop a conceptual framework to analyze emotions in auctions, which is based on an exhaustive literature review. The framework integrates rational calculus with emotional aspects and suggests that emotional processing is triggered at three different stages of an auction: First, the economic environment can affect a bidder’s level of perceived competition and thus influence the bidding strategy prior to the auction. Second, auction events may have ramifications on the bidder’s emotional state during the auction due to previous investments or perceived ownership. Third, past auction outcomes may impact future bidding behavior through emotions such as the joy of winning or loser regret. Auction fever, eventually, is a phenomenon that results from the interplay of these emotional processes and causes a bidder to deviate from an initially chosen bidding strategy.
affective computing and intelligent interaction | 2013
Kristina Schaaff; Marc T. P. Adam
The objective of this paper is to examine the possibilities and limitations of heart rate variability (HRV) as an indicator of emotional arousal for mobile applications which require online biofeedback. In contrast to offline classification, feature extraction for online applications sets other requirements to the window size in which data is analyzed as the delay between a change of a persons arousal level and the reaction of an application should be as short as possible. For this purpose we compare various HRV features in order to evaluate how far window size can be decreased to enable online arousal recognition. Using data from a study where high and low arousal were induced in a game scenario, HRV features are analyzed for their discriminatory power depending on the window size using Fishers discriminant analysis. Moreover, we use these features to train an SVM based classifier. Results indicate that for some features it is possible to use ultra-short term window sizes, i.e. window sizes shorter than the 5 minute window which has traditionally been used for short term HRV analysis.
Proceedings of the 25th Australasian Conference on Information Systems (ACIS), Auckland, New Zealand, 8th - 10th December 2014 | 2014
Timm Teubner; Marc T. P. Adam; Sonia Camacho; Khaled Hassanein
Sharing spare resources on customer to customer (C2C) web platforms yields economic advantages for users on both supply and demand sides. It also increases resource efficiency by enabling better utilization patterns, which in turn provides societal and environmental benefits. Establishing trust among users is a key factor in facilitating the sharing of resources in such platforms. Among other methods, the use of profile pictures has proven to increase trust in peer-to-peer interactions. However, this comes at a considerable cost of privacy. In this study, we compare different levels of user representations (i.e. picture humanization) in a lab experiment involving 216 users and analyze their effect on users’ sharing behaviour on a C2C platform. Our results indicate that an increased level of picture humanization increases users’ perception of social presence and decreases their perception of anonymity. In turn, perceived anonymity has a marginal negative impact on users’ sharing behaviour while perceived social presence impacts positively users’ sharing behaviour through a path that involves trust and perceived reciprocity.
web intelligence | 2017
Marc T. P. Adam; Henner Gimpel; Alexander Maedche; René Riedl
Stress is a major problem in the human society, impairing the well-being, health, performance, and productivity of many people worldwide. Most notably, people increasingly experience stress during human-computer interactions because of the ubiquity of and permanent connection to information and communication technologies. This phenomenon is referred to as technostress. Enterprise systems, designed to improve the productivity of organizations, frequently contribute to this technostress and thereby counteract their objective. Based on theoretical foundations and input from exploratory interviews and focus group discussions, the paper presents a design blueprint for stress-sensitive adaptive enterprise systems (SSAESes). A major characteristic of SSAESes is that bio-signals (e.g., heart rate or skin conductance) are integrated as real-time stress measures, with the goal that systems automatically adapt to the users’ stress levels, thereby improving human-computer interactions. Various design interventions on the individual, technological, and organizational levels promise to directly affect stressors or moderate the impact of stressors on important negative effects (e.g., health or performance). However, designing and deploying SSAESes pose significant challenges with respect to technical feasibility, social and ethical acceptability, as well as adoption and use. Considering these challenges, the paper proposes a 4-stage step-by-step implementation approach. With this Research Note on technostress in organizations, the authors seek to stimulate the discussion about a timely and important phenomenon, particularly from a design science research perspective.
IEEE Transactions on Human-Machine Systems | 2015
Anuja Hariharan; Marc T. P. Adam
Emotion elicitation and classification have been performed on standardized stimuli sets, such as international affective picture systems and international affective digital sound. However, the literature which elicits and classifies emotions in a financial decision making context is scarce. In this paper, we present an evaluation to detect emotions of private investors through a controlled trading experiment. Subjects reported their level of rejoice and regret based on trading outcomes, and physiological measurements of skin conductance response and heart rate were obtained. To detect emotions, three labeling methods, namely binary, tri-, and tetrastate blended models were compared by means of C4.5, CART, and random forest algorithms, across different window lengths for heart rate. Taking moving window lengths of 2.5s prior to and 0.3s postevent (parasympathetic phase) led to the highest accuracies. Comparing labeling methods, accuracies were 67% for binary rejoice, 44% for a tristate, and 45% for a tetrastate blended emotion models. The CART yielded the highest accuracies.
Electronic Markets | 2016
Anuja Hariharan; Marc T. P. Adam; Timm Teubner; Christof Weinhardt
Environmental conditions and the interplay of cognitive and affective processes both exert influences on bidding behavior. This paper brings the above together, considering how the (external) auction environment determines the impact of (internal) cognitive and affective processes on bidding behavior, assessed in comparison to the optimal bid. Two aspects of the auction environment were considered, namely auction dynamics (low: first-price sealed-bid auction, high: Dutch auction) and value uncertainty (low, high). In a laboratory experiment, we assess bidders’ cognitive workload and emotional arousal through physiological measurements. We find that higher auction dynamics increase the impact of emotional arousal on bid deviations, but not that of cognitive workload. Higher value uncertainty, conversely, increases the impact of cognitive workload on bid deviations, but not that of emotional arousal. Taken together, the auction environment is a critical factor in understanding the nature of the underlying decision process and its impact on bids.
hawaii international conference on system sciences | 2013
Timm Teubner; Florian Hawlitschek; Marc T. P. Adam; Christof Weinhardt
Compared to traditional channels, Internet transactions are intrinsically untrustworthy in nature. We investigate the impact of social identity and reciprocity on trusting and cooperative behavior in dynamic gift giving networks by means of an online laboratory experiment, with a main focus on value transfers among the users individually and directed towards the group. In this study, we display profile pictures and full names of the experiment participants in order to abrogate anonymity. Moreover, we provide the possibility for private peer-to-peer interaction, in contrast to mere contributions to the entire, undifferentiated group. We find indications for the efficacy of both dimensions as well as for an interaction effect. Our study has implications for the design of information systems where mutual trust between private users forms the basis for market interaction (e.g. ride-, car or apartment sharing platforms).
Biomedizinische Technik | 2012
Kristina Schaaff; Raphael Degen; Nico Adler; Marc T. P. Adam
Information about the affective state of a person is becoming increasingly important in human-computer interaction. This requires low-cost and unobtrusive devices to continuously measure the affective state. For this purpose, a computer mouse has been modified such that it enables measuring of mouse button pressure as the pressure applied to the mouse is highly correlated with the affective state of a person. In contrast to other studies in which mouse button pressure was analyzed, the development of the mouse was mainly driven by the requirement that the pressure sensors should not be visible from the outside that the user of the mouse does not recognize that pressure is being recorded. This can prevent intentional manipulation of the pressure applied to the mouse. Besides the button press, also the squeeze on the side of the mouse is recorded. For this purpose, a printed circuit board has been developed and integrated together with piezo and force resistive sensors into a standard computer mouse. These sensors are able to measure the force of the button press as well as the squeeze on the side of the mouse with high resolution. The mouse connects to the PC using a standard USB port. It was integrated into the xAffect software which provides an interface for data recording and visualization. A study where different arousal level were induced has shown strong interrelations between affect and mouse pressure.
Frontiers of Computer Science in China | 2018
Philipp V. Rouast; Marc T. P. Adam; Raymond Chiong; David Cornforth; Ewa Lux
Remote photoplethysmography (rPPG) allows remote measurement of the heart rate using low-cost RGB imaging equipment. In this study, we review the development of the field of rPPG since its emergence in 2008. We also classify existing rPPG approaches and derive a framework that provides an overview of modular steps. Based on this framework, practitioners can use our classification to design algorithms for an rPPG approach that suits their specific needs. Researchers can use the reviewed and classified algorithms as a starting point to improve particular features of an rPPG algorithm.
International Journal of Electronic Commerce | 2017
Marc T. P. Adam; Ami Eidels; Ewa Lux; Timm Teubner
ABSTRACT The Dutch auction, also known as the descending-price auction or reverse clock auction, has a long-standing history in practice and in academic literature. In practice, the Dutch auction is commonly used to rapidly sell large quantities of homogeneous goods, such as cut flowers, fish, or tobacco. However, most e-commerce auction sites focus on other auction mechanisms, and overall research on human behavior in Dutch auctions is scant. To facilitate research on Dutch auctions and their applications in electronic commerce, we conduct a structured literature review of experimental studies and establish the current state of research on bidding behavior in single-unit and multi-unit Dutch auctions. The findings are based on an analysis of twenty-nine articles published in the fields of economics, information management, marketing, and operations research and management science between 1970 and 2016. This review reveals (1) the characteristics that make the Dutch auction unique compared to other auction formats, (2) the drivers of bidding behavior in Dutch auctions, and (3) an overview of how Dutch auctions can be employed in practice and to what advantage. Finally, we identify directions for future research on bidding behavior in Dutch auctions.