Capturing and Predicting User Frustration to Support a Smart Operating System

Author:

Goodarzy Sepideh1ORCID,Keller Eric2ORCID,Nazari Maziyar2ORCID,Rozner Eric2ORCID,Han Richard3ORCID,Dras Mark3ORCID,Lee Young Choon3ORCID,Richards Deborah3ORCID

Affiliation:

1. Computer Science Department, University of Colorado Boulder, United States

2. University of Colorado Boulder, United States

3. Macquarie University, Australia

Funder

NSF as part of SDI-CSCS

NSF as part of CAREER

Publisher

ACM

Reference35 articles.

1. Bidyut Bikash Hazarika , Mohammadreza Mousavizadeh , and Mike Tarn . 2019. A comparison of hedonic and utilitarian digital products based on consumer evaluation and technology frustration. JISTEM-Journal of Information Systems and Technology Management 16 ( 2019 ). Bidyut Bikash Hazarika, Mohammadreza Mousavizadeh, and Mike Tarn. 2019. A comparison of hedonic and utilitarian digital products based on consumer evaluation and technology frustration. JISTEM-Journal of Information Systems and Technology Management 16 (2019).

2. Scott Brave and Cliff Nass . 2007. Emotion in human-computer interaction . In The human-computer interaction handbook . CRC Press , 103–118. Scott Brave and Cliff Nass. 2007. Emotion in human-computer interaction. In The human-computer interaction handbook. CRC Press, 103–118.

3. Linqin Cai , Yaxin Hu , Jiangong Dong , and Sitong Zhou . 2019. Audio-textual emotion recognition based on improved neural networks. Mathematical Problems in Engineering 2019 ( 2019 ). Linqin Cai, Yaxin Hu, Jiangong Dong, and Sitong Zhou. 2019. Audio-textual emotion recognition based on improved neural networks. Mathematical Problems in Engineering 2019 (2019).

4. “It did not give me an option to decline”: A Longitudinal Analysis of the User Experience of Security and Privacy in Smart Home Products

5. O Chapelle B Schölkopf and A Zien. 2006. Semi-Supervised Learning Cambridge. O Chapelle B Schölkopf and A Zien. 2006. Semi-Supervised Learning Cambridge.

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