Coping with Changing Temperatures: Interactions of People Facing Cancer and Menopause with Home Energy Management Systems

Home energy management systems (HEMS) have changed over the years, particularly with the development of smart home technologies which aim to simplify people’s lives. As life can be hectic, people look to technology to assist in streamlining daily activities, including setting home temperature. The dynamic nature of household composition, including changing residents, guests, as well as changing health status, necessitates the continued evolution of home heating and cooling systems. This research seeks to delineate design considerations for building a home energy management that can interact with situational variants and assist in temperature decision making, relieving users of added stressors during times of familial changes. This research discusses home energy perceptions of people facing either a diagnosis of cancer or experiencing menopausal symptoms in order to discover opportunities for a novel and perceptive home energy management system that considers household structure and familial dynamics.

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Germaine Irwin

Conference

Publication date: July 2017

Publication date (Print): July 2017

Pages: 1-11

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[0001]University of Maryland Baltimore County

Department of Information Systems

1000 Hilltop Circle, ITE 430

Baltimore, MD 21250 USA

Article

DOI: 10.14236/ewic/HCI2017.40

SO-VID: 92c28335-e5b3-4a97-aae7-06d7f86943a3

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017)

Conference acronym: HCI

Conference number: 31

Conference location: Sunderland, UK

Conference date: 3 - 6 July 2017

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: digital make-believe, with delegates considering our expansive

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2017.40

Self URI (journal page): https://ewic.bcs.org/

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Comments

Comment on this article

[1] Amazon What is Alexa Voice Service? Developer.amazon.com, 2016 https://developer.amazon.com/alexa-voice-service/what-is-avs

[2] Amazon Alexa Smart Home https://www.amazon.com/b/?node=13575751011

[3] N. BanerjeeS. RollinsK. Moran Automating energy management in green homes Proceedings of the 2nd ACM SIGCOMM workshop on Home networks ACM 2011 1924

[4] C. Fever CancerNeutropenic Fever Relationship to Chemotherapy- Managing Side Effects- Chemocare Chemocare.com 2016 http://chemocare.com/chemotherapy/side-effects/fever-neutropenic-fever-and-their-relationship-to-chemotherapy.aspx.

[5] cosinuss° cosinuss.com, 2016 https://cosinuss.com/de

[6] E. CostanzaS. D. RamchurnN. R. Jennings Understanding domestic energy consumption through interactive visualisation: a field study Proceedings of the 2012 ACM Conference on Ubiquitous Computing ACM 2012 216 225

[7] S.M. Cristancho et al When surgeons face intraoperative challenges: a naturalistic model of surgical decision making The American Journal of Surgery 205 2 2013 156 162

[8] M. FrejusJ. Guibourdenche Analysing domestic activity to reduce household energy consumption Work: A Journal of Prevention, Assessment and Rehabilitation 41 2012 539 548

[9] J. Froehlich Promoting energy efficient behaviors in the home through feedback: The role of humancomputer interaction Proc HCIC Workshop 9 2009 1 11

[10] F. Fylan Semi structured interviewing A handbook of research methods for clinical and health psychology 2005 65 78

[11] C. GrevetJ. Manko_ Motivating sustainable behavior through social comparison on online social visualization In HCI conference 2009 2009 1 5

[12] G. HarboeJ. MinkeI. IleaE. M. Huang 2012 February Computer support for collaborative data analysis: augmenting paper affinity diagrams Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work 1179 1182 ACM

[13] G. IrwinN. BanerjeeA. HurstS. Rollins 2015 Contextual insights into home energy relationships 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) 305 310

[14] C. KoehlerB. D. ZiebartJ. MankoffA. K. Dey 2013 TherML: occupancy prediction for thermostat control the 2013 ACM international joint conference 103 112 New York, New York, USA ACM

[15] L. KleinJ. KwakG. KavulyaF. JazizadehB. Becerik-GerberP. VarakanthamM. Tambe Coordinating occupant behavior for building energy and comfort management using multi-agent systems Automation in Construction 22 2012 525 536

[16] A. S. KulkarniK. C. WelchC. K. Harnett Modeling human behavior for energy-usage prediction HCI International 2011{Posters Extended Abstracts Springer 2011 298 302

[17] Q. LiV. C. L. ChiangX. XuY. XuA. Y. Loke 2015 The Experiences of Chinese Couples Living With Cancer Cancer Nursing 38 5 383 394

[18] J. LuT. SookoorV. SrinivasanG. GaoB. HolbenJ. StankovicE. FieldK. Whitehouse The smart thermostat: using occupancy sensors to save energy in homes Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems ACM 2010 211 224

[19] V. L. PatelD. R. KaufmanT. G. Kannampallil 2013 Diagnostic Reasoning and Decision Making in the Context of Health Information Technology Reviews of Human Factors and Ergonomics 8 1 149 190

[20] J. PierceE. Paulos A phenomenology of human-electricity relations Proceedings of the SIGCHI Conference on Human Factors in Computing Systems ACM 2011 2405 2408

[21] J. PierceE. Paulos Beyond energy monitors: interaction, energy, and emerging energy systems Proceedings of the SIGCHI Conference on Human Factors in Computing Systems ACM 2012 665 674

[22] J. PierceD. J. SchianoE. Paulos Home, habits, and energy: Examining domestic interactions and energy consumption Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '10 ACM New York, NY, USA 2010 1985 1994

[23] G. RenR. HouriziE. O'Neill 2015 Situation awareness and home energy reduction: a study

[24] SansonFisherA. GirgisA. BoyesB. BonevskiL. BurtonP. Cook 2000 The unmet supportive care needs of patients with cancer Cancer 88 1 226 237

[25] D. SlooA. M. FadellM. L. RogersM. PlitkinsM. J. MatasF. Bould User friendly interface for control unit Oct 7 2011 US Patent App. 13/269,501

[26] States Providing for Smart Metering Ncsl.org 2016 http://www.ncsl.org/research/energy/states-providing-for-smart-metering.aspx

[27] J. TanimotoA. HagishimaH. Sagara A methodology for peak energy requirement considering actual variation of occupants behavior schedules Building and Environment 43 4 2008 610 619

[28] I. V. TatarynD. R. MeldrumK. H. LuA. M. FruraarH. L. Judd 1979 LH, FSH and skin temperature during the menopausal hot flash The Journal of Clinical Endocrinology & Metabolism 49 1 152 154

[29] The Naturalistic Decision Making Approach July 12 2016 https://www.psychologytoday.com/blog/seeing-what-others-dont/201602/the-naturalistic-decision-making-approach

[30] R. YangM. W. Newman 2013 Learning from a learning thermostat: lessons for intelligent systems for the home Proceedings of the 2013 ACM international joint ... 93 102 New York, New York, USA ACM

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