[1]
R. Roy, M. Goatman, and K. Khangura, ‘User-centric design and Kansei Engineering’, CIRP Journal of Manufacturing Science and Technology, vol. 1, no. 3, pp. 172–178, Jan. 2009, doi: 10.1016/j.cirpj.2008.10.007
[2]
Marc, Hassenzahl, Andrew Monk, ‘The Inference of Perceived Usability From Beauty’, Human-Computer Interaction, vol. 25, no. 3, pp. 235–260, 2010, Available: http://www.tandfonline.com/doi/abs/10.1080/07370024.2010.500139
[3]
P. W. Jordan, ‘Human factors for pleasure in product use’, Applied Ergonomics, vol. 29, no. 1, pp. 25–33, Feb. 1998, doi: 10.1016/S0003-6870(97)00022-7
[4]
N. Tractinsky, A. S. Katz, and D. Ikar, ‘What is beautiful is usable’, Interacting with Computers, vol. 13, no. 2, pp. 127–145, Dec. 2000, doi: 10.1016/S0953-5438(00)00031-X
[5]
D. Norman, ‘Introduction to This Special Section on Beauty, Goodness, and Usability’, Human-Computer Interaction, vol. 19, no. 4, pp. 311–318, Dec. 2004, doi: 10.1207/s15327051hci1904_1
[6]
P. W. Jordan, Designing pleasurable products: an introduction to the new human factors. Boca Raton, FL: Taylor & Francis, 2000.
[7]
J. McCarthy J, and P. Wright, Technology as Experience. Available: https://ieeexplore.ieee.org/book/6267305
[8]
T. W. Bickmore, R. Fernando, L. Ring, and D. Schulman, ‘Empathic Touch by Relational Agents’, IEEE Transactions on Affective Computing, vol. 1, no. 1, pp. 60–71, Jan. 2010, doi: 10.1109/T-AFFC.2010.4
[9]
C. Segalin, A. Perina, M. Cristani, and A. Vinciarelli, ‘The Pictures We Like Are Our Image: Continuous Mapping of Favorite Pictures into Self-Assessed and Attributed Personality Traits’, IEEE Transactions on Affective Computing, vol. 8, no. 2, pp. 268–285, Apr. 2017, doi: 10.1109/TAFFC.2016.2516994
[10]
Y. S. Sefidgar, K. E. MacLean, S. Yohanan, H. F. M. Van der Loos, E. A. Croft, and E. J. Garland, ‘Design and Evaluation of a Touch-Centered Calming Interaction with a Social Robot’, IEEE Transactions on Affective Computing, vol. 7, no. 2, pp. 108–121, 2016, doi: 10.1109/TAFFC.2015.2457893
[11]
L. Turchet and R. Bresin, ‘Effects of Interactive Sonification on Emotionally Expressive Walking Styles’, IEEE Transactions on Affective Computing, vol. 6, no. 2, pp. 152–164, 2015, doi: 10.1109/TAFFC.2015.2416724
[12]
A. Tuch, S. Kreibig, S. Roth, J. Bargas-Avila, K. Opwis, and F. Wilhelm, ‘The Role of Visual Complexity in Affective Reactions to Webpages: Subjective, Eye Movement, and Cardiovascular Responses’, IEEE Transactions on Affective Computing, vol. 2, no. 4, pp. 230–236, Oct. 2011, doi: 10.1109/T-AFFC.2011.18
[13]
G. Elkharraz, S. Thumfart, D. Akay, C. Eitzinger, and B. Henson, ‘Making Tactile Textures with Predefined Affective Properties’, IEEE Transactions on Affective Computing, vol. 5, no. 1, pp. 57–70, 2014, doi: 10.1109/T-AFFC.2013.21
[14]
R. A. Calvo and D. Peters, Positive computing: technology for wellbeing and human potential. Cambridge, Massachusetts: MIT Press, 2014. Available: https://ieeexplore.ieee.org/book/6981846
[15]
J. A. Russell and L. F. Barrett, ‘Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant.’, Journal of Personality and Social Psychology, vol. 76, no. 5, pp. 805–819, 1999, Available: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&AN=00005205-199905000-00009&LSLINK=80&D=ovft
[16]
C. Petitmengin, ‘Describing one’s subjective experience in the second person: An interview method for the science of consciousness’, Phenomenology and the Cognitive Sciences, vol. 5, no. 3–4, pp. 229–269, Dec. 2006, doi: 10.1007/s11097-006-9022-2
[17]
K. Boehner, R. DePaula, P. Dourish, and P. Sengers, ‘How emotion is made and measured’, International Journal of Human-Computer Studies, vol. 65, no. 4, pp. 275–291, 2007, doi: 10.1016/j.ijhcs.2006.11.016
[18]
K. Isbister, K. Höök, J. Laaksolahti, and M. Sharp, ‘The sensual evaluation instrument: Developing a trans-cultural self-report measure of affect’, International Journal of Human-Computer Studies, vol. 65, no. 4, pp. 315–328, Apr. 2007, doi: 10.1016/j.ijhcs.2006.11.017
[19]
E. Hudlicka, ‘To feel or not to feel: The role of affect in human–computer interaction’, International Journal of Human-Computer Studies, vol. 59, no. 1–2, pp. 1–32, July 2003, doi: 10.1016/S1071-5819(03)00047-8
[20]
M. Bitbol and C. Petitmengin, ‘A Defense of Introspection from Within’, vol. 8, no. 3, pp. 269–279, 2013, Available: http://constructivist.info/8/3/269.bitbol
[21]
C. Petitmengin and J.-P. Lachaux, ‘Microcognitive science: bridging experiential and neuronal microdynamics’, Frontiers in Human Neuroscience, vol. 7, 27 AD, doi: 10.3389/fnhum.2013.00617
[22]
B. Petreca, S. Baurley, and N. Bianchi-Berthouze, ‘How do designers feel textiles?’, in 2015 International Conference on Affective Computing and Intelligent Interaction (ACII), IEEE, Sept. 2015, pp. 982–987. doi: 10.1109/ACII.2015.7344695. Available: http://ieeexplore.ieee.org/document/7344695/
[23]
P. Ekman, ‘What Scientists Who Study Emotion Agree About’, Perspectives on Psychological Science, vol. 11, no. 1, pp. 31–34, Jan. 2016, doi: 10.1177/1745691615596992
[24]
S. K. D’ Mello, ‘On the Influence of an Iterative Affect Annotation Approach on Inter-Observer and Self-Observer Reliability’, IEEE Transactions on Affective Computing, vol. 7, no. 2, pp. 136–149, 2016, doi: 10.1109/TAFFC.2015.2457413
[25]
C. Harmon-Jones, B. Bastian, and E. Harmon-Jones, ‘The Discrete Emotions Questionnaire: A New Tool for Measuring State Self-Reported Emotions’, PLOS ONE, vol. 11, no. 8, Aug. 2016, doi: 10.1371/journal.pone.0159915
[26]
M. Obrist, S. A. Seah, and S. Subramanian, ‘Talking about tactile experiences’, in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI ’13, ACM Press, 2013, pp. 1659–1668. doi: 10.1145/2470654.2466220. Available: http://dl.acm.org/citation.cfm?doid=2470654.2466220
[27]
D. Küster and A. Kappas, ‘Measuring Emotions Online: Expression and Physiology’, in Cyberemotions, J. A. Holyst, Ed., Cham: Springer International Publishing, 2017, pp. 71–93. doi: 10.1007/978-3-319-43639-5_5. Available: http://link.springer.com/10.1007/978-3-319-43639-5_5
[28]
I. B. Mauss and M. D. Robinson, ‘Measures of emotion: A review’, Cognition & Emotion, vol. 23, no. 2, pp. 209–237, Feb. 2009, doi: 10.1080/02699930802204677
[29]
E. Kroupi, J.-M. Vesin, and T. Ebrahimi, ‘Subject-Independent Odor Pleasantness Classification Using Brain and Peripheral Signals’, IEEE Transactions on Affective Computing, vol. 7, no. 4, pp. 422–434, Oct. 2016, doi: 10.1109/TAFFC.2015.2496310
[30]
M. Nardelli, G. Valenza, A. Greco, A. Lanata, and E. P. Scilingo, ‘Recognizing Emotions Induced by Affective Sounds through Heart Rate Variability’, IEEE Transactions on Affective Computing, vol. 6, no. 4, pp. 385–394, Oct. 2015, doi: 10.1109/TAFFC.2015.2432810
[31]
M. Kusserow, O. Amft, and G. Troster, ‘Modeling arousal phases in daily living using wearable sensors’, IEEE Transactions on Affective Computing, vol. 4, no. 1, pp. 93–105, Jan. 2013, doi: 10.1109/T-AFFC.2012.37
[32]
M. D. van der Zwaag, J. H. Janssen, and J. H. D. M. Westerink, ‘Directing Physiology and Mood through Music: Validation of an Affective Music Player’, IEEE Transactions on Affective Computing, vol. 4, no. 1, pp. 57–68, doi: 10.1109/T-AFFC.2012.28
[33]
Y. Abdelrahman, E. Velloso, T. Dingler, A. Schmidt, and F. Vetere, ‘Cognitive Heat’, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 1, no. 3, pp. 1–20, Sept. 2017, doi: 10.1145/3130898
[34]
Y. Gao, N. Bianchi-Berthouze, and H. Meng, ‘What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay?’, ACM Transactions on Computer-Human Interaction, vol. 19, no. 4, pp. 1–30, Dec. 2012, doi: 10.1145/2395131.2395138
[35]
M. J. Hertenstein, R. Holmes, M. McCullough, and D. Keltner, ‘The communication of emotion via touch.’, Emotion, vol. 9, no. 4, pp. 566–573, 2009, Available: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&AN=00130470-200908000-00017&LSLINK=80&D=ovft
[36]
H. Aviezer, Y. Trope, and A. Todorov, ‘Body Cues, Not Facial Expressions, Discriminate Between Intense Positive and Negative Emotions’, Science, vol. 338, no. 6111, pp. 1225–1229, Nov. 2012, doi: 10.1126/science.1224313
[37]
A. Kleinsmith and N. Bianchi-Berthouze, ‘Affective Body Expression Perception and Recognition: A Survey’, IEEE Transactions on Affective Computing, vol. 4, no. 1, pp. 15–33, Jan. 2013, doi: 10.1109/T-AFFC.2012.16
[38]
G. Huisman, A. Darriba Frederiks, B. Van Dijk, D. Hevlen, and B. Krose, ‘The TaSSt: Tactile sleeve for social touch’, in 2013 World Haptics Conference (WHC), IEEE, Apr. 2013, pp. 211–216. doi: 10.1109/WHC.2013.6548410. Available: http://ieeexplore.ieee.org/document/6548410/
[39]
A. Vinciarelli et al., ‘Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing’, IEEE Transactions on Affective Computing, vol. 3, no. 1, pp. 69–87, Jan. 2012, doi: 10.1109/T-AFFC.2011.27
[40]
A. Vinciarelli and G. Mohammadi, ‘A Survey of Personality Computing’, IEEE Transactions on Affective Computing, vol. 5, no. 3, pp. 273–291, July 2014, doi: 10.1109/TAFFC.2014.2330816
[41]
A. Gallace and C. Spence, ‘The science of interpersonal touch: An overview’, Neuroscience & Biobehavioral Reviews, vol. 34, no. 2, pp. 246–259, 2010, doi: 10.1016/j.neubiorev.2008.10.004
[42]
G. L. Clore and J. Palmer, ‘Affective guidance of intelligent agents: How emotion controls cognition’, Cognitive Systems Research, vol. 10, no. 1, pp. 21–30, 2009, doi: 10.1016/j.cogsys.2008.03.002
[43]
G. L. Clore, A. J. Schiller, and A. Shaked, ‘Affect and cognition: three principles’, Current Opinion in Behavioral Sciences, vol. 19, pp. 78–82, Feb. 2018, doi: 10.1016/j.cobeha.2017.11.010
[44]
Andrew Ortony, Donald A. Norman, and William Revelle, ‘Affect and Proto-Affect in Effective Functioning’, in Who Needs Emotions?, J.-M. Fellous and M. A. Arbib, Eds, Oxford University Press, 2005, pp. 173–202. doi: 10.1093/acprof:oso/9780195166194.003.0007. Available: https://www.oxfordscholarship.com/view/10.1093/acprof:oso/9780195166194.001.0001/acprof-9780195166194-chapter-7
[45]
J. Chandler and N. Schwarz, ‘How extending your middle finger affects your perception of others: Learned movements influence concept accessibility’, Journal of Experimental Social Psychology, vol. 45, no. 1, pp. 123–128, Jan. 2009, doi: 10.1016/j.jesp.2008.06.012
[46]
A. Tajadura-Jiménez, M. Basia, O. Deroy, M. Fairhurst, N. Marquardt, and N. Bianchi-Berthouze, ‘As Light as your Footsteps’, in Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI ’15, ACM Press, 2015, pp. 2943–2952. doi: 10.1145/2702123.2702374. Available: http://dl.acm.org/citation.cfm?doid=2702123.2702374
[47]
J. H. Janssen, J. N. Bailenson, W. A. IJsselsteijn, and J. H. D. M. Westerink, ‘Intimate Heartbeats: Opportunities for Affective Communication Technology’, IEEE Transactions on Affective Computing, vol. 1, no. 2, pp. 72–80, July 2010, doi: 10.1109/T-AFFC.2010.13
[48]
G. L. Clore, A. J. Schiller, and A. Shaked, ‘Affect and cognition: three principles’, Current Opinion in Behavioral Sciences, vol. 19, pp. 78–82, Feb. 2018, doi: 10.1016/j.cobeha.2017.11.010
[49]
H. D. Critchley and S. N. Garfinkel, ‘The influence of physiological signals on cognition’, Current Opinion in Behavioral Sciences, vol. 19, pp. 13–18, Feb. 2018, doi: 10.1016/j.cobeha.2017.08.014
[50]
T. Poppa and A. Bechara, ‘The somatic marker hypothesis: revisiting the role of the “body-loop” in decision-making’, Current Opinion in Behavioral Sciences, vol. 19, pp. 61–66, Feb. 2018, doi: 10.1016/j.cobeha.2017.10.007
[51]
M. S. Fanselow, ‘Emotion, motivation and function’, Current Opinion in Behavioral Sciences, vol. 19, pp. 105–109, Feb. 2018, doi: 10.1016/j.cobeha.2017.12.013
[52]
J. P. Forgas, ‘Mood Effects on Cognition: Affective Influences on the Content and Process of Information Processing and Behavior’, in Emotions and Affect in Human Factors and Human-Computer Interaction, Elsevier, 2017, pp. 89–122. doi: 10.1016/B978-0-12-801851-4.00003-3
[53]
D. A. Sauter, ‘The Nonverbal Communication of Positive Emotions: An Emotion Family Approach’, Emotion Review, vol. 9, no. 3, pp. 222–234, July 2017, doi: 10.1177/1754073916667236
[54]
E. Politou, E. Alepis, and C. Patsakis, ‘A survey on mobile affective computing’, Computer Science Review, vol. 25, pp. 79–100, Aug. 2017, doi: 10.1016/j.cosrev.2017.07.002
[55]
S. K. DMello, N. Dowell, and A. Graesser, ‘Unimodal and Multimodal Human Perceptionof Naturalistic Non-Basic Affective Statesduring Human-Computer Interactions’, IEEE Transactions on Affective Computing, vol. 4, no. 4, pp. 452–465, Oct. 2013, doi: 10.1109/T-AFFC.2013.19
[56]
A. Gruebler and K. Suzuki, ‘Design of a Wearable Device for Reading Positive Expressions from Facial EMG Signals’, IEEE Transactions on Affective Computing, vol. 5, no. 3, pp. 227–237, July 2014, doi: 10.1109/TAFFC.2014.2313557
[57]
K. Wac and C. Tsiourti, ‘Ambulatory Assessment of Affect: Survey of Sensor Systems for Monitoring of Autonomic Nervous Systems Activation in Emotion’, IEEE Transactions on Affective Computing, vol. 5, no. 3, pp. 251–272, July 2014, doi: 10.1109/TAFFC.2014.2332157
[58]
R. Beale and C. Creed, ‘Affective interaction: How emotional agents affect users’, International Journal of Human-Computer Studies, vol. 67, no. 9, pp. 755–776, Sept. 2009, doi: 10.1016/j.ijhcs.2009.05.001
[59]
M. Spadafora, V. Chahuneau, N. Martelaro, D. Sirkin, and W. Ju, ‘Designing the Behavior of Interactive Objects’, in Proceedings of the TEI ’16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction - TEI ’16, ACM Press, 2016, pp. 70–77. doi: 10.1145/2839462.2839502. Available: http://dl.acm.org/citation.cfm?doid=2839462.2839502
[60]
A. Hamacher, N. Bianchi-Berthouze, A. G. Pipe, and K. Eder, ‘Believing in BERT: Using expressive communication to enhance trust and counteract operational error in physical Human-robot interaction’, in 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), IEEE, Aug. 2016, pp. 493–500. doi: 10.1109/ROMAN.2016.7745163. Available: http://ieeexplore.ieee.org/document/7745163/
[61]
M. Coeckelbergh, ‘Are Emotional Robots Deceptive?’, IEEE Transactions on Affective Computing, vol. 3, no. 4, pp. 388–393, Winter 2012, doi: 10.1109/T-AFFC.2011.29
[62]
K. Liu, J. Tolins, J. E. Fox Tree, M. Neff, and M. A. Walker, ‘Two Techniques for Assessing Virtual Agent Personality’, IEEE Transactions on Affective Computing, vol. 7, no. 1, pp. 94–105, 2016, doi: 10.1109/TAFFC.2015.2435780
[63]
A. Cerekovic, O. Aran, and D. Gatica-Perez, ‘Rapport with Virtual Agents: What Do Human Social Cues and Personality Explain?’, IEEE Transactions on Affective Computing, vol. 8, no. 3, pp. 382–395, 2017, doi: 10.1109/TAFFC.2016.2545650
[64]
C. J. Stanton and C. J. Stevens, ‘Don’t Stare at Me: The Impact of a Humanoid Robot’s Gaze upon Trust During a Cooperative Human–Robot Visual Task’, International Journal of Social Robotics, vol. 9, no. 5, pp. 745–753, Nov. 2017, doi: 10.1007/s12369-017-0422-y
[65]
H. Kamide and T. Arai, ‘Perceived Comfortableness of Anthropomorphized Robots in U.S. and Japan’, International Journal of Social Robotics, vol. 9, no. 4, pp. 537–543, 2017, doi: 10.1007/s12369-017-0409-8
[66]
T. Hirano et al., ‘How Do Communication Cues Change Impressions of Human–Robot Touch Interaction?’, International Journal of Social Robotics, vol. 10, no. 1, pp. 21–31, Jan. 2018, doi: 10.1007/s12369-017-0425-8
[67]
A. M. Rosenthal-von der Pütten and N. C. Krämer, ‘Individuals’ Evaluations of and Attitudes Towards Potentially Uncanny Robots’, International Journal of Social Robotics, vol. 7, no. 5, pp. 799–824, Nov. 2015, doi: 10.1007/s12369-015-0321-z
[68]
S. Hutson, S. L. Lim, P. J. Bentley, N. Bianchi-Berthouze, and A. Bowling, ‘Investigating the Suitability of Social Robots for the Wellbeing of the Elderly’, in Affective Computing and Intelligent Interaction, S. D’Mello, A. Graesser, B. Schuller, and J.-C. Martin, Eds, Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 578–587. doi: 10.1007/978-3-642-24600-5_61. Available: http://link.springer.com/10.1007/978-3-642-24600-5_61
[69]
J. Gratch and S. Marsella, ‘A domain-independent framework for modeling emotion’, Cognitive Systems Research, vol. 5, no. 4, pp. 269–306, 2004, doi: 10.1016/j.cogsys.2004.02.002
[70]
S. C. Marsella and J. Gratch, ‘EMA: A process model of appraisal dynamics’, Cognitive Systems Research, vol. 10, no. 1, pp. 70–90, 2009, doi: 10.1016/j.cogsys.2008.03.005
[71]
E. Hudlicka, ‘Computational Modeling of Cognition–Emotion Interactions: Theoretical and Practical Relevance for Behavioral Healthcare’, in Emotions and Affect in Human Factors and Human-Computer Interaction, Elsevier, 2017, pp. 383–436. doi: 10.1016/B978-0-12-801851-4.00016-1. Available: http://linkinghub.elsevier.com/retrieve/pii/B9780128018514000161
[72]
M. Jeon, ‘Emotions in Driving’, in Emotions and Affect in Human Factors and Human-Computer Interaction, Elsevier, 2017, pp. 437–474. doi: 10.1016/B978-0-12-801851-4.00017-3. Available: http://linkinghub.elsevier.com/retrieve/pii/B9780128018514000173
[73]
C. Segalin, A. Perina, M. Cristani, and A. Vinciarelli, ‘The Pictures We Like Are Our Image: Continuous Mapping of Favorite Pictures into Self-Assessed and Attributed Personality Traits’, IEEE Transactions on Affective Computing, vol. 8, no. 2, pp. 268–285, Apr. 2017, doi: 10.1109/TAFFC.2016.2516994
[74]
L. Pessoa, ‘Do Intelligent Robots Need Emotion?’, Trends in Cognitive Sciences, vol. 21, no. 11, pp. 817–819, doi: 10.1016/j.tics.2017.06.010