Authors:
Hibbeln, Martin - University of Duisburg-Essen
Jenkins, Jeffrey L. - Brigham Young University
Schneider, Christoph - City University of Hong Kong
Valacich, Joseph S. - University of Arizona
Weinmann, Markus - University of Liechtenstein
Abstract:
Emotion can influence important user behaviors, including purchasing decisions, technology use, and customer loyalty. The ability to easily assess users’ emotion during live system use therefore has practical significance for the design and improvement of information systems. In this paper, we discuss using human–computer interaction input devices to infer emotion. Specifically, we utilise attentional control theory to explain how movement captured via a computer mouse (i.e., mouse cursor movements) can be a real-time indicator of negative emotion. We report three studies. In Study 1, an experiment with 65 participants from Amazon’s Mechanical Turk, we randomly manipulated negative emotion and then monitored participants’ mouse cursor movements as they completed a number-ordering task.
We found that negative emotion increases the distance and reduces the speed of mouse cursor movements during the task. In Study 2, an experiment with 126 participants from a U.S. university, we randomly manipulated negative emotion and then monitored participants’ mouse cursor movements while they interacted with a mock e-commerce site. We found that mouse cursor distance and speed can be used to infer the presence of negative emotion with an overall accuracy rate of 81.7 percent.
In Study 3, an observational study with 80 participants from universities in Germany and Hong Kong, we monitored mouse cursor movements while participants interacted with an online product configurator. Participants reported their level of emotion after each step in the configuration process. We found that mouse cursor distance and speed can be used to infer the level of negative emotion with an out-of-sample R 2 of 0.17. The results enable researchers to assess negative emotional reactions during live system use, examine emotional reactions with more temporal precision, conduct multimethod emotion research, and create more unobtrusive affective and adaptive systems. [ABSTRACT FROM AUTHOR]
MIS Quarterly, March 2017, p. 1-21
Authors:
Svahn, Fredrik - University of Gothenburg
Mathiassen, Lars - Georgia State University
Lindgren, Rikard - University of Gothenburg; University of Borås
Abstract:
Past research provides instructive yet incomplete answers as to how incumbent firms can address competing concerns as they embrace digital innovation. In particular, it offers only partial explanations of why different concerns emerge, how they manifest, and how firms can manage them. In response, we present a longitudinal case study of Volvo Cars’ connected car initiative. Combining extant literature with insights from the case, we argue that incumbent firms face four competing concerns—capability (existing versus requisite), focus (product versus process), collaboration (internal versus external), and governance (control versus flexibility)—and that these concerns are systemically interrelated. Firms must therefore manage these concerns cohesively by continuously balancing new opportunities and established practices. [ABSTRACT FROM AUTHOR]
MIS Quarterly, March 2017, p. 239-254
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